#194 · Primary category: AI Agents & Automation

EverOS

agent-memory agentic-ai ai chats clawdbot clawdbot-skill deepseek-harness dsh dsh-plugin llm long-term-memory mcp memory memory-management python3 rag skills

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Project last updated:08/28/26

GitHub Stars

12.5K

Forks

908

Contributors

7

License

Apache-2.0

Why we included this project

Once you run several agents across different tools, the limitation shows up fast: every assistant keeps its own history, and there's no clean way to open or move that data. EverOS handles this by storing conversations, files, and agent trajectories as plain Markdown on your own machine. The Markdown files are the source of truth, so you can read and edit them directly and keep them under Git, while local SQLite and LanceDB indexes handle fast retrieval. A background reflection pass also consolidates what happened across sessions, so agents actually build on earlier context instead of just logging chats. For teams wiring up coding assistants or multi-step workflows, that means user-owned memory you can audit and correct rather than another opaque silo.

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