LLM Applications and AI Agents
26 repos
Libraries, frameworks, and practical guides for building applications powered by large language models and autonomous agents. The cluster spans production patterns for RAG systems, multi-agent orchestration frameworks like CrewAI, and end-to-end examples of LLM app development. Most repos are Python-based implementations and engineering guides focused on making LLMs usable and composable in real applications.
Python · 20
TypeScript · 2
Elixir · 1
Go · 1
JavaScript · 1
MDX · 1
agents ·402,592
llms ·377,201
python ·217,195
rag ·204,426
ai ·181,233
ai-agents ·155,635
aiagentframework ·117,438
mcp ·39,893
model-context-protocol ·36,255
graph ·30,966
