Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and privacy-sensitive setups — source available on GitHub.
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Catalogue record
github.com
📇 🏠 🍎 🪟 🐧 - Local-first personal memory for AI agents. Ingests Feishu/Lark chats and Claude Code / Codex sessions, distills them into a priv...
Field notes
📇 🏠 🍎 🪟 🐧 - Local-first personal memory for AI agents. Ingests Feishu/Lark chats and Claude Code / Codex sessions, distills them into a private entity knowledge graph (people, projects, decisions, tasks), and serves it to any agent over MCP — read and write. npx memkin
Best for
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and privacy-sensitive setups — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and privacy-sensitive setups — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / AndreLYL/memkin
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