LLM Agents and RAG Systems
18 repos
Libraries, frameworks, and practical guides for building AI applications with large language models, focusing on agentic systems, retrieval-augmented generation (RAG), and multi-agent orchestration. The cluster emphasizes production-ready tools and engineering patterns for LLM-based applications, with repositories covering everything from agent frameworks like CrewAI to hands-on tutorials, curated resource collections, and specialized architectures for knowledge retrieval and tool use.
Python · 14
Go · 1
JavaScript · 1
MDX · 1
TypeScript · 1
llms ·196,923
agents ·196,923
ai ·149,428
ai-agents ·126,938
aiagentframework ·116,726
python ·50,348
mcp ·36,144
model-context-protocol ·36,144
mcp-servers ·29,290
fastmcp ·27,611
