TeleAI-UAGI/Awesome-Agent-Memory

★ 642⑂ 0

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

About TeleAI-UAGI/Awesome-Agent-Memory

TeleAI-UAGI/Awesome-Agent-Memory is an open-source project on GitHub, mainly written in Python. Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning. It currently holds 642 stars and 0 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).

Project Overview

AI Homed tracks it on the AI Agent Memory board.

GitHub Repository Details

Repository TeleAI-UAGI/Awesome-Agent-Memory · default branch - · size 0 KB · watchers 0 · source: GitHub REST API and repository README

README

🧠 Awesome Agent Memory

A curated map of memory for AI agents — the systems, benchmarks, and research that give LLM and multimodal agents long-term context, persistent recall, and the ability to improve from experience.

👀 Open-source resources (e.g. papers with reproducible code publicly available on Github) are marked in bold font and ranked higher.

https://github.com/TeleAI-UAGI/Awesome-Agent-Memory/blob/HEAD/Awesome https://github.com/TeleAI-UAGI/Awesome-Agent-Memory/blob/HEAD/License: Apache 2.0 https://github.com/TeleAI-UAGI/Awesome-Agent-Memory/blob/HEAD/PRs Welcome https://github.com/TeleAI-UAGI/Awesome-Agent-Memory/blob/HEAD/Last Commit

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🧭 Start Here

| If you want to… | Jump to | |---|---| | Add a memory layer to an agent you're building | 💿 Products | | Choose a benchmark to evaluate a memory system | 📏 Benchmarks | | Get oriented in the field | 📖 Tutorials · 📚 Surveys | | Follow research on memory architectures | 🔤 Nonparametric Memory · 🔢 Parametric Memory | | Build agents that learn from experience | 📈 Memory for Agent Evolution | | Protect agent memory from poisoning and abuse | 🔒 Memory Security & Defense |

📋 How this list is curated
  • Open-source products are ordered by GitHub star count — an objective, CI-checked popularity signal, not a quality ranking or an endorsement. Products with fewer than 100 stars sit in a collapsed Emerging projects section and graduate into the main list once they cross that threshold.
  • Bold marks resources with reproducible code publicly available.
  • Descriptions are factual, not promotional (see the contributing guide).
  • This list is maintained by Bloo-Mind AI and the Ubiquitous AGI team at TeleAI. Entries affiliated with the maintainers are marked with † and follow the same ranking, format, and style rules as every other entry. One convention applies to all entries regardless of affiliation: an API-compatible drop-in replacement for a listed product is nested under that product as an unranked sub-item rather than given its own star-ranked position.
  • Projects that are inactive, archived, or whose claims are disputed move to the Archival subsection with a neutral status label, links to the evidence, and the date the status was last checked.
📰 In the News
  • 📰 [[NVIDIA (2026-08-21)] AVO reaches 100% on ARC-AGI-3, crediting persistent memory across context resets and a supervisor that redirects a stalled agent](https://developer.nvidia.com/blog/nvidia-avo-reaches-100-on-arc-agi-3-demonstrating-a-frontier-level-general-purpose-architecture-for-long-horizon-autonomous-agents/)
  • 📰 [[Agent Memory Leaderboard (2026-08-13)] First public results: 136 teams registered and 69 memory systems completed the first text-memory evaluation](https://news.ycombinator.com/item?id=49281370)
  • 📰 [[Perplexity (2026-06-18)] Perplexity launches Brain, a self-improving memory system](https://www.perplexity.ai/hub/blog/self-improving-memory-for-agents)
  • 📰 [[OpenAI (2026-06-04)] Dreaming: Better memory for a more helpful ChatGPT](https://openai.com/index/chatgpt-memory-dreaming/)
  • 📰 [[Bloo-Mind AI (2026-05-20)] The Benchmark Theatre: Why Almost Nothing You’ve Read About Agent Memory Scores Is True](https://essays.bloo-mind.ai/posts/2026-05-20-mem-eval/) †
  • 📰 [[Jiayi Weng (2026-05-09)] Learning Beyond Gradients](https://trinkle23897.github.io/learning-beyond-gradients/)
  • 📰 [[Anthropic (2026-05-08)] Three key areas Anthropic is working on for their next models](https://www.reddit.com/r/singularity/comments/1t5q53r/three_key_areas_anthropic_is_working_on_for_their/)
  • 📰 [[InfoQ (2026-04-30)] Cloudflare Announces Agent Memory, a Managed Persistent Memory Service for AI Agents](https://www.infoq.com/news/2026/04/cloudflare-agent-memory-beta/)
  • 📰 [[OpenAI (2026-04-22)] Chronicle: Build Codex Memories from Recent Screen Context](https://developers.openai.com/codex/memories/chronicle)
  • _Open-Source Alternatives_: OpenChronicle, MemScreen
  • 📰 [[a16z (2026-04-22)] Why We Need Continual Learning](https://a16z.com/why-we-need-continual-learning/)
  • 📰 [[AI Godfather (2026-04-08)] MemPalace - How Milla Jovovich's AI Project Scammed the Internet](https://www.youtube.com/watch?v=WlxNNvDHJkE)
  • 📰 [[Troy Hua (2026-03-31)] How Anthropic Built 7 Layers of Memory and a Dreaming System for Claude Code](https://x.com/troyhua/status/2039052328070734102)
  • 📰 [[VelvetShark (2026-03-05)] OpenClaw Memory Masterclass: The complete guide to agent memory that survives](https://velvetshark.com/openclaw-memory-masterclass)
  • 📰 [[Business Insider (2026-01-08)] AI still needs a breakthrough in one key area to reach superintelligence, according to those who build it](https://www.businessinsider.com/superintelligent-ai-memory-sam-altman-2026-1)

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🗂️ Table of Contents

If you find this page helpful, please give it a ⭐️ — starring also keeps updates in your GitHub feed.

_🤝 Contributions welcome! Feel free to open an issue or submit a pull request to add papers, fix links, or improve categorization — see the contributing guide for entry formats._

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💿 Products

Open-Source

_Ordered by the number of GitHub stars. Products with fewer than 100 stars continue the list inside the collapsed Emerging projects section below — they graduate into the main list once they cross that threshold. An API-compatible drop-in replacement for a listed product appears as an unranked sub-item under that product._

1. Claude-Mem Star [code] [docs] [blog] _Hook-based session capture compressed into searchable observations and re-injected into later sessions across Claude Code, Codex, Cursor, OpenClaw and other hosts; optional hosted cloud sync._

2. Mem0 Star [code] [docs] [paper] [blog] _Universal memory layer for AI agents._

Star [code] [docs] [paper] _API-compatible high-performance drop-in replacement for Mem0 (import telemem as mem0); listed as an unranked sub-item of Mem0 per the drop-in replacement convention. Maintainer-affiliated._

3. OpenViking Star [code] [docs] [paper1] [paper2] [blog] _Self-evolving context database for AI agents that unifies agent memory, knowledge RAG, and skills behind one storage/retrieval layer, with an MCP server for cross-session read/write._

4. Zep (powered by Graphiti) Star [code] [paper] [blog] _Real-time temporal knowledge graphs for AI agents._

5. Cognee Star [code] [paper] [blog] _Memory engine that ingests data into a hybrid graph + vector knowledge graph for cross-session agent recall._

6. gbrain Star [code] _Garry's opinionated OpenClaw/Hermes agent brain._

7. agentmemory Star [code] _Persistent memory for AI coding agents._

8. TencentDB Agent Memory Star [code] _Fully local long-term memory for AI agents via a 4-tier progressive pipeline, with zero external API dependencies._

9. Letta (formerly MemGPT) Star [code] [paper] [research] [blog] _Stateful-agent platform with hierarchical memory that learns and self-improves over time._

10. Hindsight Star [code] [paper] _Agent memory layer that learns from interaction feedback to improve recall over time._

11. Context Mode Star [code] _Context-window optimization for AI coding agents: diverts large tool outputs into a locally searchable store and persists session memory across platforms via MCP and hooks._

12. Second Me Star [code] [paper] _Personal AI trained on the user to represent them across applications._

13. MemU Star [code] [blog] _Memory layer for 24/7 proactive agents._

14. EverOS (part of EverMind) Star [code] [blog] _Toolkit for building, evaluating, and integrating long-term memory in self-evolving agents._

15. MemOS (by MemTensor) Star [code] [paper] _Memory OS for LLM agents with hybrid retrieval and cross-task skill reuse._

16. Honcho Star [code] [research] [blog] [eval] _Memory library for stateful agents with a focus on user modeling._

17. engram (by Gentleman-Programming) Star [code] _Persistent memory for AI coding agents — agent-agnostic single Go binary with SQLite + FTS5, exposed via MCP server, HTTP API, CLI, and TUI._

18. MemoryBear Star [code] [paper] _Memory framework providing human-like episodic and semantic recall to AI agents._

19. ByteRover Star [code] [paper] [docs] _LLM-curated hierarchical context tree for coding agents, with git-like branching, cloud sync, and MCP; formerly Cipher, source-available under Elastic License 2.0._

20. OpenMemory Star [code] _Local persistent memory store for LLM apps (Claude Desktop, Copilot, Codex, etc.)._

21. memory-lancedb-pro Star [code] [blog] [video] _Enhanced LanceDB memory plugin for OpenClaw_

22. MIRIX Star [code] [paper] [blog] _Multi-agent personal assistant that captures on-screen activity and consolidates it into structured memory._

23. MemMachine Star [code] [blog] _Interoperable memory layer providing extensible storage and retrieval primitives for AI agents._

24. Memobase Star [code] _User profile-based long-term memory for AI chatbot applications._

25. Memanto Star [code] [paper] [docs] _Typed semantic memory with remember/recall/answer operations and information-theoretic retrieval._

26. LangMem Star [code] [blog] _LangChain's memory primitives for storing, recalling, and managing agent state in LangGraph workflows._

27. Mem9 Star [code] [blog] _Local private memory hub for OpenClaw and similar coding agents._

28. Omnigraph Star [code] _Object-storage-native graph engine for agent memory with git-style branch/merge workflows._

29. PowerMem Star [code] _Persistent, self-evolving memory for AI agents — hybrid vector/full-text/graph retrieval with LLM-driven extraction, Ebbinghaus-style decay, and two-layer Experience + Skill distillation; from the OceanBase team._

30. CodeAlmanac Star [code] _Repo-local Markdown wiki for AI coding agents that preserves project conversations, decisions, and implementation context._

31. Agent QA Star [code] _Open-source QA agent that retains persistent test memory to reuse prior runs and self-heal natural-language web and mobile tests._

32. deja Star [code] _Indexes the session transcripts twenty coding agents already write to disk, retroactively — local BM25 recall over them, with credentials redacted at index time._

33. projectmem Star [code] [docs] [paper] _Local-first, event-sourced memory for AI coding agents: an append-only event log served via MCP, plus a pre-commit gate that warns before repeating a failed fix._

34. Puppyone Star [code] [docs] _Filesystem-shaped agent memory with auto-versioning, per-agent ACLs, and data connectors; accessible via MCP/REST/CLI._

35. HMS (Holographic Memory System) Star [code] _Long-term memory QA framework that wraps OpenAI clients with automatic recall and retain, PostgreSQL-backed, evaluated on LongMemEval._

36. Memorix Star [code] _Local-first cross-agent memory layer for coding agents via MCP — SQLite-backed project memory with observation, reasoning, and git-derived fact types, plus task-lensed context briefs._

37. Vestige Star [code] [release] _Local-first cognitive memory MCP server for coding agents, with FSRS-6 decay, spreading activation, active suppression, Receipt Lock, and an inspectable dashboard._

38. Compartment Star [code] _Offline, encrypted-at-rest vector memory for agents via MCP server, Python, or CLI; AEAD-encrypted embeddings, hybrid recall, per-record crypto-shred deletion, hash-chained audit log._

39. MemClaw (Caura) Star [code] [blog] _Governed shared memory for AI agent fleets — cross-agent knowledge sharing with permissions, audit trails, and self-learning._

40. MisakaNet Star [code] [wiki] _Git-based distributed swarm memory; agents share lessons across nodes via GitHub Issues._

41. Statewave Star [code] [

GitHub Stars & Activity

642Stars
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PythonLanguage

GitHub Popularity

GitHub stars642
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Open issues0
Primary languagePython
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