Open highlighted repo slot
Put your repository first
Promote a GitHub repo at the top of Awesome repository list views for 7 days.
GitHub projects from awesome lists
Search names, descriptions, topics, tags, and stacks, then tune results by ecosystem, freshness, health, and cross-list signal.
Open highlighted repo slot
Promote a GitHub repo at the top of Awesome repository list views for 7 days.
18 Lessons to Get Started Building AI Agents
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
A python library for creating AI assistants with Vectara, using Agentic RAG