Tag
LangGraph
LangGraph is a framework for building controlled agent workflows with explicit state, branching, tool calls, and recovery paths. It matters for customer support, operations automation, review pipelines, and other multi-step tasks where reliability and traceability matter.
10 articles
Open source agent stacks split into seven layers in 2026
O’Reilly’s 2026 guide breaks agent tooling into seven layers and names the open source picks that survive production.
Open-Source AI Agent Frameworks Compared
Open-source agent frameworks now cover graphs, loops, and typed workflows.
Build an Agentic RAG system with LangGraph
A modular LangGraph repo for building and learning Agentic RAG end to end.
500 AI agent projects show where agents work now
This GitHub repo catalogs 500+ AI agent projects across frameworks, industries, and working code examples.
49 stars for GitHub’s RAG production list
Yigtwxx’s GitHub repo maps production RAG stacks, from LangGraph and Qdrant to Milvus, with benchmarks, pitfalls, and case studies.
Build Production RAG with LangChain in 8 Steps
Build a production-ready RAG pipeline with LangChain, vector search, and observability.
170-member AAIF backs 10 open-source AI agent frameworks
AAIF passed 170 members in under four months as open-source agent frameworks converge on MCP, A2A, and AGENTS.md in 2026.
How to Build Agentic RAG with LangGraph
Build an agentic RAG workflow that routes, retrieves, validates, and answers queries.
Free AI Agent Resources Worth Bookmarking
A curated GitHub hub for AI agents packs beginner courses, code labs, and frameworks from Microsoft, LangChain, OpenAI, and more.
Top 5 Open-Source Agentic AI Frameworks in 2026
Benchmarks from 2,000 runs show LangGraph is fastest, LangChain is cheapest, AutoGen is resilient, and CrewAI burns the most tokens.