Retrieval-augmented generation, embeddings, vector stores, and the memory and knowledge layers that ground models in real data.
These are our picks, not a scrape of GitHub trending: every repo here is one we covered in
Repository Radar because we thought it worth tracking. Ranked by stars, with live metrics and a
get-it block on each.
21 repos, our 4th-largest category (Agents & Orchestration leads with 92). Combined they're up 115% since we covered them, 4th-fastest-growing of our 9 categories. They hold 653k stars, 2k contributors and 726k weekly downloads between them. Strength runs broad, not top-heavy: the median repo (26k stars) sits close to the 31k average. 10 are breaking out and 19 still actively shipping, and Python leads on language. What's pulling ahead: claude skills and long term memory projects.
Persistent Context Across Sessions for Every Agent, Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent, fewer tokens, fewer tool calls, 100% local
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph, average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
RAT is a powerful tool that improves AI responses by leveraging DeepSeek's reasoning capabilities to guide other models through a structured thinking process.