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  <title>Drydock: Where AI agents ship. Live feed</title>
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  <description>The shipyard for AI agents: frameworks, orchestration, vector databases, inference hosting, coding agents and dev tools, with live GitHub stars and a launch feed.</description>
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   <title>What Is Agentic Coding? A Plain English Guide</title>
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   <description>What is agentic coding? An AI agent that reads your code, edits files, runs tests and repeats until the task is done. How it works, the tools, and how to start.</description>
   <category>Explainers</category>
   <pubDate>Wed, 28 Oct 2026 12:00:00 +0000</pubDate>
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   <title>What Is Agent Memory in Claude Code? Explained</title>
   <link>https://drydock.si/guides/what-is-agent-memory-in-claude-code</link>
   <description>What is agent memory in Claude Code? Plain Markdown files: CLAUDE.md you write and auto memory Claude writes. Where it lives, its limits and how to edit it.</description>
   <category>Explainers</category>
   <pubDate>Wed, 28 Oct 2026 12:00:00 +0000</pubDate>
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   <title>Power BI MCP Server: Which One to Use (2026)</title>
   <link>https://drydock.si/guides/mcp-server-power-bi</link>
   <description>Which Power BI MCP server to use in 2026: Fabric IQ for questions, the Authoring server (hosted or local) for model edits, with setup for Copilot and Claude.</description>
   <category>Explainers</category>
   <pubDate>Tue, 27 Oct 2026 12:00:00 +0000</pubDate>
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   <title>GitHub Copilot Alternative for Visual Studio (2026)</title>
   <link>https://drydock.si/guides/github-copilot-alternative-for-visual-studio</link>
   <description>The best GitHub Copilot alternative for Visual Studio in 2026: Antigravity, JetBrains Junie, Claude Code, your own model key, Tabnine and CodeRush, checked Oct 27.</description>
   <category>Best of</category>
   <pubDate>Tue, 27 Oct 2026 12:00:00 +0000</pubDate>
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   <title>Is LangChain Free for Commercial Use?</title>
   <link>https://drydock.si/guides/is-langchain-free-for-commercial-use</link>
   <description>Is LangChain free for commercial use? Yes. LangChain and LangGraph are MIT licensed. Here is what that allows, where costs start, and the one server that isn't MIT.</description>
   <category>Explainers</category>
   <pubDate>Sun, 25 Oct 2026 12:00:00 +0000</pubDate>
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   <title>Best Design Skills for Claude Code (2026)</title>
   <link>https://drydock.si/guides/best-design-skills-for-claude-code</link>
   <description>Impeccable, Hallmark, Taste Skill and Anthropic's frontend design skill compared: what each one does, how to install it, and which to pick for your agent.</description>
   <category>Best of</category>
   <pubDate>Sun, 25 Oct 2026 12:00:00 +0000</pubDate>
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   <title>What Is MCP? The Model Context Protocol Explained</title>
   <link>https://drydock.si/guides/what-is-mcp</link>
   <description>What is MCP? The Model Context Protocol explained: hosts, clients, servers, tools, resources, the stateless 2026 spec, security risks and a tested first run.</description>
   <category>Explainers</category>
   <pubDate>Sat, 24 Oct 2026 12:00:00 +0000</pubDate>
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   <title>LangChain vs n8n: Which Should You Use?</title>
   <link>https://drydock.si/guides/langchain-vs-n8n</link>
   <description>LangChain vs n8n compared: a code library for agents vs a visual workflow platform built on LangChain JS. Licenses, pricing, MCP and how to use both together.</description>
   <category>Comparisons</category>
   <pubDate>Sat, 24 Oct 2026 12:00:00 +0000</pubDate>
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   <title>LangChain vs CrewAI: Which Should You Use?</title>
   <link>https://drydock.si/guides/langchain-vs-crewai</link>
   <description>LangChain vs CrewAI compared with tested code: one agent loop with middleware vs a crew of role based agents. Models, MCP, pricing and using both together.</description>
   <category>Comparisons</category>
   <pubDate>Sat, 24 Oct 2026 12:00:00 +0000</pubDate>
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   <title>Cloudflare Security Audit Skill: How to Use It</title>
   <link>https://drydock.si/guides/cloudflare-security-audit-skill</link>
   <description>How the Cloudflare security audit skill works, how to install it for Claude Code or Codex, what its six phases produce, and the sandbox rules it needs.</description>
   <category>Explainers</category>
   <pubDate>Sat, 24 Oct 2026 12:00:00 +0000</pubDate>
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   <title>AI Agents for Trade Businesses: 5 Practical Setups</title>
   <link>https://drydock.si/guides/ai-agent-for-trade-business</link>
   <description>How to build an AI agent for a trade business: missed call texts, photo quotes, booking, invoices and reviews, wired to Jobber, Housecall Pro or ServiceTitan.</description>
   <category>How-to</category>
   <pubDate>Sat, 24 Oct 2026 12:00:00 +0000</pubDate>
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   <title>What Is the Most Popular AI Agent Framework?</title>
   <link>https://drydock.si/guides/what-is-the-most-popular-ai-agent-framework</link>
   <description>What is the most popular AI agent framework in 2026? LangChain leads developer surveys, PyPI downloads and GitHub stars. Here are the numbers and what they hide.</description>
   <category>Explainers</category>
   <pubDate>Fri, 23 Oct 2026 12:00:00 +0000</pubDate>
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   <title>NVIDIA OpenShell: What It Is and How to Use It</title>
   <link>https://drydock.si/guides/nvidia-openshell</link>
   <description>NVIDIA OpenShell explained: how the open source agent sandbox enforces file, network and credential policy, how to install it, and how it compares to Docker.</description>
   <category>Explainers</category>
   <pubDate>Fri, 23 Oct 2026 12:00:00 +0000</pubDate>
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   <title>Best Open Source Vector Database in 2026</title>
   <link>https://drydock.si/guides/best-open-source-vector-database</link>
   <description>The best open source vector database for agents and RAG in 2026: Qdrant, Milvus, pgvector, Chroma, LanceDB and Weaviate compared by license, setup and scale.</description>
   <category>Best of</category>
   <pubDate>Fri, 23 Oct 2026 12:00:00 +0000</pubDate>
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   <title>Claude Managed Agents: Pricing and How It Works</title>
   <link>https://drydock.si/guides/claude-managed-agents</link>
   <description>Claude Managed Agents explained: what Anthropic hosts, the $0.08 session hour plus token pricing, self hosted sandboxes, budgets, limits and open source options.</description>
   <category>Explainers</category>
   <pubDate>Thu, 22 Oct 2026 12:00:00 +0000</pubDate>
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   <title>LanceDB vs Milvus: Which Should You Use?</title>
   <link>https://drydock.si/guides/lancedb-vs-milvus</link>
   <description>LanceDB vs Milvus for AI agents: an embedded library on files, or a vector database that grows from a local file to a cluster. Setup, limits and the pick.</description>
   <category>Comparisons</category>
   <pubDate>Thu, 22 Oct 2026 12:00:00 +0000</pubDate>
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   <title>How to Use MCP Server in GitHub Copilot</title>
   <link>https://drydock.si/guides/how-to-use-mcp-server-in-github-copilot</link>
   <description>How to use an MCP server in GitHub Copilot: the config file for VS Code, JetBrains, Visual Studio, Copilot CLI and the cloud agent, plus the GitHub MCP server.</description>
   <category>How-to</category>
   <pubDate>Thu, 22 Oct 2026 12:00:00 +0000</pubDate>
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   <title>What Is Weaviate? Features, Pricing and Use Cases</title>
   <link>https://drydock.si/guides/what-is-weaviate</link>
   <description>Weaviate is an open source vector database in Go with hybrid search and a built in MCP server. How it works, a tested agent memory example and cloud pricing.</description>
   <category>Explainers</category>
   <pubDate>Wed, 21 Oct 2026 12:00:00 +0000</pubDate>
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   <title>Vercel AI SDK Guide: Build an Agent With AI SDK 7</title>
   <link>https://drydock.si/guides/vercel-ai-sdk-guide</link>
   <description>The Vercel AI SDK is a free, open source TypeScript toolkit for LLM apps and agents. AI SDK 7 changes, a tested ToolLoopAgent, streaming UI, MCP and costs.</description>
   <category>Tutorials</category>
   <pubDate>Wed, 21 Oct 2026 12:00:00 +0000</pubDate>
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   <title>LiteLLM Compromised: What to Do About 1.107.0</title>
   <link>https://drydock.si/guides/litellm-compromised</link>
   <description>LiteLLM compromised again: release 1.107.0 on PyPI and Docker carried a credential stealer. How to check every host, what to rotate and how to pin safely.</description>
   <category>How-to</category>
   <pubDate>Wed, 21 Oct 2026 12:00:00 +0000</pubDate>
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   <title>LangChain vs LangGraph: Which Should You Use?</title>
   <link>https://drydock.si/guides/langchain-vs-langgraph</link>
   <description>LangChain vs LangGraph, compared with tested code. Start with LangChain's create_agent, then use LangGraph when you need explicit steps and durable state.</description>
   <category>Comparisons</category>
   <pubDate>Wed, 21 Oct 2026 12:00:00 +0000</pubDate>
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   <title>LanceDB vs Qdrant: Which Should You Use?</title>
   <link>https://drydock.si/guides/lancedb-vs-qdrant</link>
   <description>LanceDB vs Qdrant for AI agents: an embedded library on files or a vector search server. Setup, per user filters, hybrid search, scaling and the pick.</description>
   <category>Comparisons</category>
   <pubDate>Wed, 21 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>Is Gemini CLI Free for Pro Users? Explained</title>
   <link>https://drydock.si/guides/is-gemini-cli-free-for-pro-users</link>
   <description>Is Gemini CLI free for Pro users? No. Google AI Pro access ended June 18, 2026. Here's what Pro and Ultra get in Antigravity CLI and what Gemini CLI costs now.</description>
   <category>Explainers</category>
   <pubDate>Wed, 21 Oct 2026 12:00:00 +0000</pubDate>
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   <title>How to Run an MCP Server Locally (2026 Guide)</title>
   <link>https://drydock.si/guides/run-mcp-server-locally</link>
   <description>How to run an MCP server locally with npx, uvx or Docker, test it with the MCP Inspector, then connect it to Claude Code, Cursor, VS Code or Codex safely.</description>
   <category>How-to</category>
   <pubDate>Wed, 21 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>Claude Code Review: How to Set It Up and Use It</title>
   <link>https://drydock.si/guides/claude-code-review</link>
   <description>Claude Code Review is now generally available. How the GitHub service differs from /code-review, what it costs, how to tune it with REVIEW.md, and who can use it.</description>
   <category>How-to</category>
   <pubDate>Sat, 17 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/claude-code-review</guid>
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  <item>
   <title>How to Build an AI Agent from Scratch in Python</title>
   <link>https://drydock.si/guides/how-to-build-an-ai-agent-from-scratch</link>
   <description>How to build an AI agent from scratch in Python: a tool loop, safe file tools, approvals, a step cap and memory in about 125 lines, on OpenAI or Ollama.</description>
   <category>Tutorials</category>
   <pubDate>Fri, 16 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/how-to-build-an-ai-agent-from-scratch</guid>
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  <item>
   <title>How to Build a RAG Pipeline with LangGraph</title>
   <link>https://drydock.si/guides/how-to-build-a-rag-pipeline-langgraph</link>
   <description>How to build a RAG pipeline with LangGraph: index your docs, wire retrieve and generate nodes, add a grading loop with a retry cap, then turn it into an agent.</description>
   <category>Tutorials</category>
   <pubDate>Fri, 16 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/how-to-build-a-rag-pipeline-langgraph</guid>
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  <item>
   <title>Claude Code Mods: What They Are, How to Build One</title>
   <link>https://drydock.si/guides/claude-code-mods</link>
   <description>Claude Code mods are plugins whose JavaScript runs inside Claude Code to add panes, commands and tool call rules. How to install, build and vet one safely.</description>
   <category>Explainers</category>
   <pubDate>Fri, 16 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>Qdrant Vector Database: How to Use It (2026 Guide)</title>
   <link>https://drydock.si/guides/how-to-use-qdrant-vector-database</link>
   <description>Qdrant is an open source vector database in Rust. How to use it: run it, store text, filter per user and add BM25 hybrid search, tested on Qdrant 1.20.</description>
   <category>How-to</category>
   <pubDate>Thu, 15 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/how-to-use-qdrant-vector-database</guid>
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  <item>
   <title>OpenCode 2.0: What's New and How to Upgrade</title>
   <link>https://drydock.si/guides/opencode-2-0</link>
   <description>OpenCode 2.0 adds a shared background service, Code Mode for MCP and a new plugin API, and 2.1 renames SDK fields. Here's what changed and how to upgrade.</description>
   <category>How-to</category>
   <pubDate>Thu, 15 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>How to Use LangChain with Ollama (2026 Guide)</title>
   <link>https://drydock.si/guides/how-to-use-langchain-with-ollama</link>
   <description>How to use LangChain with Ollama: install langchain-ollama, pick a tool calling model, raise the context window and build a local agent with tools and RAG.</description>
   <category>How-to</category>
   <pubDate>Thu, 15 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/how-to-use-langchain-with-ollama</guid>
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  <item>
   <title>How to Use Gemini CLI in Terminal (2026 Guide)</title>
   <link>https://drydock.si/guides/how-to-use-gemini-cli-in-terminal</link>
   <description>How to use Gemini CLI in terminal: install it, sign in with a key that still works, run your first task, and learn @ files, ! shell, slash commands and MCP.</description>
   <category>How-to</category>
   <pubDate>Wed, 14 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>Best Pi Coding Agent Alternatives in 2026</title>
   <link>https://drydock.si/guides/pi-coding-agent-alternative</link>
   <description>Looking for a Pi coding agent alternative? Compare OpenCode, Claude Code, Codex CLI, Copilot CLI, Cline and Aider on plan mode, approvals and local models.</description>
   <category>Best of</category>
   <pubDate>Wed, 14 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>LLM Gateway vs OpenRouter: Which to Use?</title>
   <link>https://drydock.si/guides/llm-gateway-vs-openrouter</link>
   <description>What an LLM gateway is, and when to self host one like LiteLLM instead of using OpenRouter: routing, fallbacks, caching, keys, fees and security in 2026.</description>
   <category>Comparisons</category>
   <pubDate>Sun, 11 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>GitHub Copilot vs Claude Code: Key Differences</title>
   <link>https://drydock.si/guides/github-copilot-vs-claude-code</link>
   <description>GitHub Copilot vs Claude Code: IDE autocomplete and GitHub agents versus a terminal first coding agent (pricing, models, MCP, and who should pick which).</description>
   <category>Comparisons</category>
   <pubDate>Sun, 11 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>How to Start an AI Automation Agency</title>
   <link>https://drydock.si/guides/how-to-start-an-ai-automation-agency</link>
   <description>How to start an AI automation agency in 2026: pick a niche, build a demo, choose a stack, check n8n and Dify licenses, price the work and run agents safely.</description>
   <category>How-to</category>
   <pubDate>Sun, 11 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>Browser Use vs Stagehand vs Playwright MCP</title>
   <link>https://drydock.si/guides/browser-use-vs-stagehand-vs-playwright-mcp</link>
   <description>Compare Browser Use, Stagehand, and Playwright MCP for AI browser agents: who owns the loop, languages, MCP fit, Browserbase hosting, and when to pick each.</description>
   <category>Comparisons</category>
   <pubDate>Sun, 11 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>AI Agents for Small Business: 8 Real Setups</title>
   <link>https://drydock.si/guides/ai-agents-for-small-business</link>
   <description>AI agents for small business, made practical: 8 setups for shops, salons, restaurants, trades and freelancers, with the tools, steps and guardrails for each.</description>
   <category>How-to</category>
   <pubDate>Sun, 11 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>Best AI Coding Assistant in 2026</title>
   <link>https://drydock.si/guides/best-ai-coding-assistant</link>
   <description>Pick the best AI coding assistant for your workflow: Copilot for GitHub teams, Cursor for an AI IDE, Claude Code for agentic refactors, plus free options.</description>
   <category>Best of</category>
   <pubDate>Sat, 10 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>What Is an Agent Harness? (2026 Guide)</title>
   <link>https://drydock.si/guides/what-is-an-agent-harness</link>
   <description>An agent harness wraps an LLM with tools, memory, sandboxes, and guardrails. How it differs from a framework, plus Claude, LangChain, and Docker examples.</description>
   <category>Explainers</category>
   <pubDate>Sat, 10 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>MCP Server vs API: What's the Difference?</title>
   <link>https://drydock.si/guides/mcp-server-vs-api</link>
   <description>An MCP server is an agent facing interface; a REST API is built for developer code. Learn the differences, when to use each, and how they work together.</description>
   <category>Comparisons</category>
   <pubDate>Sat, 10 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>Best AI Agent Framework for Python (2026)</title>
   <link>https://drydock.si/guides/best-ai-agent-framework-python</link>
   <description>Find the best AI agent framework for Python in 2026. LangGraph, CrewAI, Agno, smolagents, and Pydantic AI compared, with clear picks by use case and tradeoffs.</description>
   <category>Best of</category>
   <pubDate>Fri, 09 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>What Is Docker Agent (cagent)? A Practical Guide</title>
   <link>https://drydock.si/guides/what-is-docker-agent</link>
   <description>Docker Agent, formerly cagent, runs AI agent teams from a YAML file. What it is, how to install and configure it, its MCP and sandbox options, and who it suits.</description>
   <category>Explainers</category>
   <pubDate>Thu, 08 Oct 2026 12:00:00 +0000</pubDate>
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   <title>Code Mode MCP Explained: Tool Calls as Code</title>
   <link>https://drydock.si/guides/what-is-code-mode-mcp</link>
   <description>Code Mode lets an AI agent write a short program that calls its MCP tools instead of calling them one by one. How it works, who supports it, and when to use it.</description>
   <category>Explainers</category>
   <pubDate>Wed, 07 Oct 2026 12:00:00 +0000</pubDate>
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  <item>
   <title>Agent Skills Guide: How to Write a SKILL.md</title>
   <link>https://drydock.si/guides/agent-skills-guide</link>
   <description>Agent skills explained: how SKILL.md works, where Claude Code, Codex, Cursor, Copilot and Gemini CLI load skills, how they differ from MCP, plus a template.</description>
   <category>Tutorials</category>
   <pubDate>Tue, 06 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/agent-skills-guide</guid>
  </item>
  <item>
   <title>MCP vs A2A: Which Agent Protocol Do You Need?</title>
   <link>https://drydock.si/guides/mcp-vs-a2a</link>
   <description>MCP connects an agent to tools and data; A2A connects agents to other agents. Learn when to use each, how they fit together, and what changed in 2026.</description>
   <category>Explainers</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/mcp-vs-a2a</guid>
  </item>
  <item>
   <title>Best TypeScript AI Agent Frameworks (2026)</title>
   <link>https://drydock.si/guides/best-typescript-ai-agent-frameworks</link>
   <description>The best TypeScript agent framework for your project: Mastra, Vercel AI SDK, LangGraph.js, OpenAI Agents SDK and Google ADK compared, with code and tradeoffs.</description>
   <category>Comparisons</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/best-typescript-ai-agent-frameworks</guid>
  </item>
  <item>
   <title>Best Open Source Coding Agents in 2026</title>
   <link>https://drydock.si/guides/best-open-source-coding-agents</link>
   <description>The best open source coding agents in 2026, compared on license, interface, model choice and upkeep: OpenCode, Cline, Codex CLI, Gemini CLI, goose and Aider.</description>
   <category>Best of</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/best-open-source-coding-agents</guid>
  </item>
  <item>
   <title>Claude Code vs Codex vs Gemini CLI (2026)</title>
   <link>https://drydock.si/guides/claude-code-vs-codex-vs-gemini-cli</link>
   <description>Claude Code vs Codex vs Gemini CLI compared on pricing, open source, setup, MCP, instruction files and workflow, so you can pick the right terminal agent.</description>
   <category>Comparisons</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/claude-code-vs-codex-vs-gemini-cli</guid>
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  <item>
   <title>Tavily vs Exa vs Firecrawl: Web Search for Agents</title>
   <link>https://drydock.si/guides/tavily-vs-exa-vs-firecrawl</link>
   <description>Tavily vs Exa vs Firecrawl for giving AI agents web access: search quality approach, page extraction, crawling, MCP servers, pricing models and code examples.</description>
   <category>Comparisons</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/tavily-vs-exa-vs-firecrawl</guid>
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  <item>
   <title>LangGraph vs CrewAI vs OpenAI Agents SDK (2026)</title>
   <link>https://drydock.si/guides/langgraph-vs-crewai-vs-openai-agents-sdk</link>
   <description>LangGraph vs CrewAI vs OpenAI Agents SDK compared on control flow, state, human in the loop, model support and learning curve, plus what replaced AutoGen.</description>
   <category>Comparisons</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/langgraph-vs-crewai-vs-openai-agents-sdk</guid>
  </item>
  <item>
   <title>How to Build an MCP Server in Python (2026 Guide)</title>
   <link>https://drydock.si/guides/how-to-build-an-mcp-server-python</link>
   <description>Build a working MCP server in Python with the official SDK 2.x and the stateless 2026-07-28 spec, then connect it to Claude Code, Cursor, and VS Code hosts.</description>
   <category>Tutorials</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/how-to-build-an-mcp-server-python</guid>
  </item>
  <item>
   <title>E2B vs Daytona vs Modal: Agent Sandboxes Compared</title>
   <link>https://drydock.si/guides/e2b-vs-daytona-vs-modal</link>
   <description>E2B vs Daytona vs Modal for running AI agent code safely: isolation, startup, persistence, time limits, GPUs and SDKs compared, with code for each sandbox.</description>
   <category>Comparisons</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/e2b-vs-daytona-vs-modal</guid>
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  <item>
   <title>AI Agent Memory: Mem0 vs Letta vs Zep (2026)</title>
   <link>https://drydock.si/guides/ai-agent-memory-mem0-vs-letta-vs-zep</link>
   <description>AI agent memory explained: how Mem0, Letta and Zep store and recall long term context, how they differ from LangGraph's built in memory, and which to choose.</description>
   <category>Comparisons</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/ai-agent-memory-mem0-vs-letta-vs-zep</guid>
  </item>
  <item>
   <title>AGENTS.md Guide: How to Write One (vs CLAUDE.md)</title>
   <link>https://drydock.si/guides/agents-md-guide</link>
   <description>What AGENTS.md is, how Codex, Claude Code, Cursor, Copilot and Gemini CLI load it, how it compares with CLAUDE.md, plus a copy and paste template that works.</description>
   <category>How-to</category>
   <pubDate>Mon, 05 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/guides/agents-md-guide</guid>
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  <item>
   <title>OpenCode adds 5,232 GitHub stars to lead the week</title>
   <link>https://drydock.si/reports/2026-44</link>
   <description>OpenCode added 5,232 GitHub stars between Oct 18 and Oct 26, the biggest gain among the 54 open source tools tracked on Drydock.</description>
   <category>Weekly report</category>
   <pubDate>Mon, 26 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/reports/2026-44</guid>
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  <item>
   <title>Firecrawl adds 2,538 GitHub stars to lead the week</title>
   <link>https://drydock.si/reports/2026-43</link>
   <description>Firecrawl added 2,538 GitHub stars between Oct 13 and Oct 21, the biggest gain among the 53 open source tools tracked on Drydock.</description>
   <category>Weekly report</category>
   <pubDate>Wed, 21 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/reports/2026-43</guid>
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  <item>
   <title>Firecrawl adds 1,764 GitHub stars to lead the week</title>
   <link>https://drydock.si/reports/2026-42</link>
   <description>Firecrawl added 1,764 GitHub stars between Oct 5 and Oct 12, the biggest gain among the 52 open source tools tracked on Drydock.</description>
   <category>Weekly report</category>
   <pubDate>Mon, 12 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/reports/2026-42</guid>
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  <item>
   <title>Firecrawl adds 449 GitHub stars to lead the week</title>
   <link>https://drydock.si/reports/2026-41</link>
   <description>Firecrawl added 449 GitHub stars between Oct 5 and Oct 7, the biggest gain among the 48 open source tools tracked on Drydock.</description>
   <category>Weekly report</category>
   <pubDate>Thu, 08 Oct 2026 12:00:00 +0000</pubDate>
   <guid isPermaLink="true">https://drydock.si/reports/2026-41</guid>
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  <item>
   <title>Dayjob: Tax (evaluating AI agents on 50 professional tax assignments)</title>
   <link>https://surgehq.ai/blog/dayjob-tax</link>
   <description>[Hacker News] 200 points · 125 comments</description>
   <source url="https://drydock.si/feed.xml">Hacker News</source>
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   <guid isPermaLink="false">drydock.si:hn-50275626</guid>
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  <item>
   <title>GEPA-Curator: Curated Learning for Self Improving Agents</title>
   <link>https://arxiv.org/abs/2610.37651v1</link>
   <description>[arXiv] Large Language Models (LLMs) are increasingly used in multiturn agentic workloads that require sustained interaction with complex environments. Existing reflective prompt optimizers such as GEPA learn from failed rollouts, but agentic failures can also come from prompt weaknesse…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 17:58:11 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37651v1</guid>
  </item>
  <item>
   <title>Metacognitive Decoding: Efficient Inference for Diffusion Language Agents</title>
   <link>https://arxiv.org/abs/2610.37642v1</link>
   <description>[arXiv] Diffusion language models offer a promising path to efficient agents through parallel token generation. However, efficient interaction requires adapting both where computation is spent and how much text is generated. We introduce a metacognitive controller that guides diffusion g…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 17:55:24 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37642v1</guid>
  </item>
  <item>
   <title>EnvSched: Environment-Aware Scheduling for Rollout-Efficient Agent Reinforcement Learning</title>
   <link>https://arxiv.org/abs/2610.37609v1</link>
   <description>[arXiv] As executable environments for language agents scale, generating and verifying their rollouts becomes increasingly expensive. Under finite rollout budgets, this raises an important question: can data management at the environment level make agentic reinforcement learning (RL) mor…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 17:38:52 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37609v1</guid>
  </item>
  <item>
   <title>TANDEM: Balancing Centralized and Decentralized Critics to Address the Information Gap in Complex Multi Agent Environments</title>
   <link>https://arxiv.org/abs/2610.37592v1</link>
   <description>[arXiv] Cooperative multiagent reinforcement learning under centralized training with decentralized execution (CTDE) shapes decentralized policies with a centralized critic that observes the global state, then removes the critic at execution. The policies are optimized to rely on inform…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 17:28:43 +0000</pubDate>
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  <item>
   <title>TeamGym: A Gym for Team Decision-Making by AI Agents with Distributed Information</title>
   <link>https://arxiv.org/abs/2610.37571v1</link>
   <description>[arXiv] Many real world decisions require teams to integrate information distributed across participants. Yet AI agents are still primarily trained and benchmarked in isolation. We introduce TeamGym, an environment for evaluating and training language model based agents on team decision-…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 17:15:54 +0000</pubDate>
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  </item>
  <item>
   <title>Gym-Anything-RT: Scaling Real Time Environments for Vision-Language Agents</title>
   <link>https://arxiv.org/abs/2610.37567v1</link>
   <description>[arXiv] AI agents have made substantial progress in domains where they have a nontrivial amount of time to deliberate between actions, such as mathematics, software engineering, and performing tasks on desktop applications. It is less clear how such models fare in settings that demand r…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 17:13:05 +0000</pubDate>
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  <item>
   <title>Which Hand Was Late? Diagnosis for Robot Failure Recovery in Bimanual Tool Use</title>
   <link>https://arxiv.org/abs/2610.37533v1</link>
   <description>[arXiv] Failure diagnosers for robot manipulation are increasingly vision--language models (VLMs), trained and evaluated on single arm failures produced by perturbing a successful demonstration. Bimanual tool use adds failures of other kinds: a tool that slips out of its socket while sti…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 16:53:18 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37533v1</guid>
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  <item>
   <title>From Interaction to Capability: Task Advancement as State and Supervision for GUI Agents</title>
   <link>https://arxiv.org/abs/2610.37482v1</link>
   <description>[arXiv] GUI memory should preserve the results of past actions and learn reusable operations. This is difficult in long horizon workflows, where agents must use information across applications and useful operations are interleaved with failed attempts. We introduce Task Advancement Memor…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 16:09:25 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37482v1</guid>
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  <item>
   <title>Concordat: Typed Sessions for LLM Agents</title>
   <link>https://arxiv.org/abs/2610.37461v1</link>
   <description>[arXiv] Agents built on large language models are increasingly allowed to take consequential actions: cancelling bookings, issuing refunds, changing accounts. The rules that govern those actions, such as "obtain the customer's explicit confirmation before changing anything", are usually …</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 16:00:26 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37461v1</guid>
  </item>
  <item>
   <title>M4Bench: Evaluating Procedural Specification for Clinical EHR Derivation Agents</title>
   <link>https://arxiv.org/abs/2610.37459v1</link>
   <description>[arXiv] Clinical research over electronic health records depends on derived variables whose definitions sit outside the schema, in item codes, time windows, missingness rules, and output grain choices that change cohorts and downstream conclusions. We introduce M4Bench, 28 clinical deriv…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 15:59:13 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37459v1</guid>
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  <item>
   <title>Test-Time Communication in Trading Agent Swarms</title>
   <link>https://arxiv.org/abs/2610.37448v1</link>
   <description>[arXiv] Communication between agents has mostly been studied on tasks with a shared objective and fast, clear feedback. Trading has neither: each agent manages its own account, with decisions being scored by markets late and noisily. A trading swarm is thus a population of independent de…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 15:54:05 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37448v1</guid>
  </item>
  <item>
   <title>ETAMem: Decoupling and Aligning Heterogeneous Memory for Long Term Conversational Agents</title>
   <link>https://arxiv.org/abs/2610.37443v1</link>
   <description>[arXiv] Long term memory enables Large Language Models (LLMs) to maintain coherent and personalized interactions across extended conversations. However, existing memory systems face two key challenges: (1) Information Entanglement, where heterogeneous information is mixed within coarse-g…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 15:51:42 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37443v1</guid>
  </item>
  <item>
   <title>FeatureArc: Benchmarking Coding Agents on Evolving Features</title>
   <link>https://arxiv.org/abs/2610.37434v1</link>
   <description>[arXiv] A software feature usually evolves over time: developers extend its first version as new use cases and requirements arrive, and each extension builds on code written earlier. Most feature benchmarks evaluate a single request on a fixed codebase. Feature evolution requires evaluat…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 15:45:50 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37434v1</guid>
  </item>
  <item>
   <title>Constraining the Commit Boundary: A DIO/ODI-Informed Authorization Guardrail for Agentic Entity Resolution</title>
   <link>https://arxiv.org/abs/2610.37407v1</link>
   <description>[arXiv] Agentic Entity Resolution (ER) systems iteratively plan actions, retrieve evidence, revise hypotheses, and propose graph mutations. An erroneous identity hypothesis may condition later retrieval and produce apparent confirmation. This paper proposes a Digital Identity Optimizatio…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 15:22:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37407v1</guid>
  </item>
  <item>
   <title>Clearing the FoG: Training KG Agents to Retrieve the Evidence Behind Their Answers</title>
   <link>https://arxiv.org/abs/2610.37405v1</link>
   <description>[arXiv] Large language models (LLMs) can answer many factual questions correctly, but a correct answer is not necessarily a supported one. For an LLM agent, a knowledge graph (KG) plays two roles: as a source of answers, it supplies facts that the model lacks; as a source of evidence, it…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 15:20:37 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37405v1</guid>
  </item>
  <item>
   <title>Agent Conditioned Routing: Diverse Reasoning Paths Within One Frozen Model</title>
   <link>https://arxiv.org/abs/2610.37375v1</link>
   <description>[arXiv] Generating several solutions can expose alternative methods, but additional trajectories often paraphrase one dominant approach. We investigate whether the conditional capacity of a frozen sparse mixture of experts (MoE) model can provide such diversity from one problem prompt, w…</description>
   <source url="https://drydock.si/feed.xml">arXiv</source>
   <pubDate>Tue, 27 Oct 2026 15:06:29 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:arxiv-2610.37375v1</guid>
  </item>
  <item>
   <title>VibeVideoBench: Evaluating Multimodal Agents on Code Driven Video Generation</title>
   <link>https://huggingface.co/papers/2610.35864</link>
   <description>[HF Daily Papers] 172 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Mon, 26 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.35864</guid>
  </item>
  <item>
   <title>CodeCap-Bench: Can Code Serve as a Good Video Caption?</title>
   <link>https://huggingface.co/papers/2610.37341</link>
   <description>[HF Daily Papers] 50 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Mon, 26 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.37341</guid>
  </item>
  <item>
   <title>Your Policy Is Secretly a Harness: The Decision Geometry of Agent Interfaces</title>
   <link>https://huggingface.co/papers/2610.37255</link>
   <description>[HF Daily Papers] 7 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Mon, 26 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.37255</guid>
  </item>
  <item>
   <title>PaperPilot. Zero Cloud, Pure-Rust PDF Engine with WASM and MCP</title>
   <link>https://github.com/KrushnaVardhanReddy/PaperPilot</link>
   <description>[Hacker News] 236 points · 87 comments</description>
   <source url="https://drydock.si/feed.xml">Hacker News</source>
   <pubDate>Mon, 26 Oct 2026 03:29:05 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hn-50238739</guid>
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  <item>
   <title>Multiscale Policy Optimization for Long Horizon LLM Agents</title>
   <link>https://huggingface.co/papers/2610.35013</link>
   <description>[HF Daily Papers] 373 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Sun, 25 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.35013</guid>
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  <item>
   <title>The Trinity:Capability-Driven Recursive Self Improvement for Multimodal Agents</title>
   <link>https://huggingface.co/papers/2610.36077</link>
   <description>[HF Daily Papers] 312 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Sun, 25 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.36077</guid>
  </item>
  <item>
   <title>Omni-InteractScope: Benchmarking Proactive and Agentic Interaction in Continuous Omnimodal Streams</title>
   <link>https://huggingface.co/papers/2610.35439</link>
   <description>[HF Daily Papers] 12 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Sun, 25 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.35439</guid>
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  <item>
   <title>SearchHorizonBench: A Benchmark for Search Value in AI Agents</title>
   <link>https://huggingface.co/papers/2610.34714</link>
   <description>[HF Daily Papers] 7 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Sun, 25 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.34714</guid>
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  <item>
   <title>Making My Blog Readable by AI Agents</title>
   <link>https://deallocatedobjects.com/posts/making-my-blog-readable-by-ai-agents</link>
   <description>[Hacker News] 37 points · 10 comments</description>
   <source url="https://drydock.si/feed.xml">Hacker News</source>
   <pubDate>Sat, 24 Oct 2026 21:21:33 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hn-50225443</guid>
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  <item>
   <title>Memory Tax: Dissecting the Net Value of Agent Memory</title>
   <link>https://huggingface.co/papers/2610.34073</link>
   <description>[HF Daily Papers] 126 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Sat, 24 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.34073</guid>
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  <item>
   <title>What Effort Level Should I Choose? On the Economics of Reasoning Effort in LLM Agents</title>
   <link>https://huggingface.co/papers/2610.34491</link>
   <description>[HF Daily Papers] 16 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Sat, 24 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.34491</guid>
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  <item>
   <title>ParetoRSI-Gym: Can AI Agents Improve Language Models Across Multiple Domains?</title>
   <link>https://huggingface.co/papers/2610.34386</link>
   <description>[HF Daily Papers] 13 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Sat, 24 Oct 2026 20:00:00 +0000</pubDate>
   <guid isPermaLink="false">drydock.si:hfp-2610.34386</guid>
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  <item>
   <title>Rethinking Verification in Agent Harnesses</title>
   <link>https://huggingface.co/papers/2610.34577</link>
   <description>[HF Daily Papers] 9 upvotes</description>
   <source url="https://drydock.si/feed.xml">HF Daily Papers</source>
   <pubDate>Sat, 24 Oct 2026 20:00:00 +0000</pubDate>
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