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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
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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.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
The best-benchmarked open-source AI memory system. And it's free.
Hindsight: Agent Memory That Learns
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Agent S: an open agentic framework that uses computers like a human
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
A local multi-agent harness that works with your existing Claude Code, Codex subscriptions, allows you to run an office of agents
Research project. A Memory solution for users, teams, and applications.
Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.