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The AI Agent Memory collection tracks 8 curated open-source projects, 2 of them live on TrendingRepo right now — ranked by a cross-source momentum score blending GitHub star velocity with mentions on Hacker News, X, Bluesky, Product Hunt and Dev.to.
| # | Repository | Stars | 24h | 7d | 30d | Trend | Mentions | Actions |
|---|---|---|---|---|---|---|---|---|
| 01 | deepset-ai/haystack 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. | 25.5K | — | +76+0.3% | +344+1.4% | |||
| 02 | memvid/memvid Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory. | 15.6K | — | +24+0.2% | +204+1.3% | |||
| 03 | getzep/zep-python No description published. | 0 | — | — | — | |||
| 04 | langchain-ai/langmem No description published. | 0 | — | — | — | |||
| 05 | letta-ai/letta No description published. | 0 | — | — | — | |||
| 06 | mem0ai/mem0 No description published. | 0 | — | — | — | |||
| 07 | pingcap/tidb No description published. | 0 | — | — | — | |||
| 08 | run-llama/llama_index No description published. | 0 | — | — | — |