Your agents already solved this. deja finds it — retroactive search and MCP recall over the session logs your coding agents already wrote. Cross-agent, SSH-portable, one zero-dep binary, fully local.
Your agents already solved this. deja finds it.
Claude Code, Codex, opencode, aider, Gemini CLI, Cursor, Antigravity and Grok Build write every conversation to local files — gigabytes of debugged problems and design decisions you can't search. deja is a zero-dependency binary that turns those histories into a memory layer:
--- --- Search deja "connection pool exhausted" — 7–9 ms over gigabytes, retroactive: months of logs from before you installed it Agent recall MCP recall tool — the agent answers "we fixed this three weeks ago" instead of re-debugging, across harnesses Auto-recall install --auto adds a SessionStart hook: relevant memory lands in context before you ask Redaction API keys, JWTs, private keys are stripped at index time — the cache is safe to keep Stats deja stats — your agent work, wrapped: harnesses, top projects, activity sparkline Share deja share — hand a colleague a sanitized digest of a session, secrets already scrubbed Sync deja sync export/import — move memory between machines, append-only, idempotent
One binary. No models to download, no services to run, nothing leaves your machine unless you sync or share it. (opencode and Cursor IDE indexing shell out to the sqlite3 CLI, preinstalled on macOS and most Linux distros; Cursor CLI transcripts do not need it.)
Wire it into the agents you use (edits config, keeps a .bak):
That's it. Next session, ask your agent:
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/vshulcz--deja-vu.html)
Render agent-written Markdown as a live local page, and send the human's click back to the agent as typed data. Human-in-the-loop approval gates for coding agents.
hung12ct/culiSelf-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it
nisargpatel1906/Aethos_MemoryUniversal, cross-tool persistent memory bank for AI assistants (Claude Code, Cursor, Windsurf, OpenCode, Codex) powered by FastMCP, Gemini embeddings & Supabase pgvector.
pranee54/AgentDoctorLocal CLI that audits coding-agent configuration for security, instructions, context, and MCP — no API key or code upload by default.
luckeyfaraday/frontier-orchestratorMulti-agent orchestration for Claude Code: MCP server + skill that keeps Claude as lead engineer while delegating backend work to OpenAI Codex and frontend/design work to Kimi
menot-you/n-memoryMemory your agent can trust — every answer carries its source; when it doesn't know, it says so. Hermetic, local, MCP.
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