Ranked by Attention Score: stars gained over the last 30 complete days
31 repositories by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
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
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Build Real-Time Knowledge Graphs for AI Agents
#1 Persistent memory for AI coding agents based on real-world benchmarks
The best-benchmarked open-source AI memory system. And it's free.
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.
A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.
World's first open-source enterprise world model.
When Claude Code hits its usage limit, Codex picks the task up from the same memory. Sno Station puts Codex, Claude Code, Cursor, Hermes Agent and OpenClaw on one squad: they hand work to each other and review each other's code. Open source, runs on your computer.
Open-source GrokBot alternative built on DeepSeek Harness. Build your personal bot team: multiple personal agents with persistent memory, identities and permissions, extensible through DSH plugins.｜基于 DeepSeek Harness 的开源 GrokBot 平替：有长期记忆的个人 AI Bot 团队，支持多 Bot 协作、身份权限与插件生态扩展。MIT.
Permanent memory for AI agents. A 426-token prompt, a script, plug and play.
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
🐋 DSH 鱼的记忆：给会话一份会淡忘的长期记忆，每条都带时间。名字里的「鱼」来自 DeepSeek 的鲸鱼。
多场景 AI 工作台：六层总纲 + 拓扑连线图 + 公开版工作台模板（四场景可跑，源码照搬即用）+ 记忆机制。配套集市：https://www.mydsh.xyz 。作者：https://linyujia.me 。注意：不是装完就能用，场景要按自己的内容调试。
The ai agent workflow tool that scales from small, simple projects to large, complex codebases.
Persistent infinite memory with profiles, background agents, and conversation imports for Pi.
Composable, view-based context for DeepSeek Harness. Pluggable sources and strategies, with layered memory and self-evolving skills out of the box.
不是问答机器人，而是能真正干活的数字分身。共享智能体，共享项目上下文，让项目所有成员一起协同工作。同时智能体会像人一样通过资料或者工作抽象和总结经验到项目上下文中
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.
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Official code for "Zero-Mem: Zero-Token Memory Operations for LLM Agents".
Personal memory across agents