vshulcz/deja-vu
by Various
Memory for coding agents built from the session history already on disk: Claude Code, Codex, Cursor, Copilot CLI, OpenClaw and 17 more. Search months of past sessions, including ev
MCP
vshulcz/deja-vu
Added 3 Sept 2026
Overview
Memory for coding agents built from session history already on disk. It indexes past sessions from Claude Code, Codex, Cursor, Copilot CLI, OpenClaw and 17 more tools, allowing search across months of history including data from before installation. Runs as a single local Go binary with no LLM or embeddings.
Best for
Best for
Developers who want to search and reuse past coding session history across multiple agents.
Use cases
- Search past coding sessions across multiple agents
- Recall context from previous work in any agent
- Index existing session logs without setup
How to use
Install
npx skills add https://github.com/vshulcz/deja-vu --skill deja-search # skills CLI: Claude Code, Cursor, Goose, Copilot… Tools exposed
deja-recallfull-historynaive-grep
Tested with
Claude Code, Cursor, Cline, Continue, ChatGPT
Notes
Memory for coding agents built from session history already on disk. It indexes past sessions from Claude Code, Codex, Cursor, Copilot CLI, OpenClaw and 17 more tools, allowing search across months of history including data from before installation. Runs as a single local Go binary with no LLM or embeddings.
762 stars on GitHub. Last updated 2026-09-02. Licensed MIT.
Use cases
- Search past coding sessions across multiple agents
- Recall context from previous work in any agent
- Index existing session logs without setup
Pros
- Works with many coding agents (Claude Code, Codex, Cursor, etc.)
- No LLM or embeddings, lightweight single binary
- Indexes history from before installation
Cons
- Only works with session history already on disk
- Text-based search, no semantic understanding
- Requires local Go binary setup
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Works with many coding agents (Claude Code, Codex, Cursor, etc.)
- No LLM or embeddings, lightweight single binary
- Indexes history from before installation
Cons
- Only works with session history already on disk
- Text-based search, no semantic understanding
- Requires local Go binary setup
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