Persistent memory for AI agents as a single Go binary: hybrid recall, self-building knowledge graph, and a live TUI dashboard. Zero infra, offline-first — works with Claude Code, Cursor, Codex, OpenCode, and any MCP client.
Developer Knowledge OS — local-first bimodal workspace for humans (TUI) and AI agents (MCP). Manage Git repos, vault notes, and assets with 19 MCP tools including unified project context queries.
Enables saving, searching, retrieving, linking and importing AI work as plain markdown files with automatic provenance in a local folder the user owns. Runs entirely on the user's machine with no account, key or network calls, and never deletes anything.
Provides an MCP memory system for AI personas with fading strengths, automatic recall, session handoff notes, isolated multi-persona stores, peer messaging, and a browsable star atlas. Runs on Cloudflare Workers and connects to any MCP client over Streamable HTTP.
Je dois répondre en JSON avec name et description. Name = "jevmem" (le nom du serveur MCP publié). Description : décrit ce que le serveur permet, sans répéter le nom. Par exemple : "Saves decisions, rules, bugs, to-dos and dead ends from Claude Code and Cursor chats into a versioned JEVMEM.md file in the repository, then brings the relevant lines back in later sessions and checks tool calls against saved rules before they run." Je dois vérifier : ne pas citer de personne/mainteneur/organisation. Ne pas répéter le nom. Deux phrases max. Éviter de mentionner "jevmem" comme nom. Je peux dire "Saves..." sans nom. Ça mentionne JEVMEM.md, ce n'est pas le nom du serveur mais le fichier, c'est autorisé ? La consigne : la description ne doit pas reprendre le nom. Le nom est "jevmem" ; "JEVMEM.md" contient jevmem. Mieux éviter. Je vais dire "a markdown memory file in the repository". Éviter aussi les noms d'organisations (TypeSafe, Anthropic, Claude Code...). Claude Code est un produit, pas une personne/organisation. Mais prudence : ne pas citer de mainteneur ou d'organisation. Je peux dire "coding-agent chats". La description doit dire ce que le serveur permet. Je vais faire deux phrases.
Exposes six tools over stdio that let AI coding assistants add, list, search, synthesize, resolve and delete persistent spec-driven project memory kept as markdown trees in the repository. This gives assistants durable recall of decisions, worklogs, watchpoints and governance laws across sessions without a database or API key.