Memory for coding agents built from the session history already on disk: Claude Code, Codex, Cursor, Copilot CLI, Ope...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 85/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Claude
Fastest way to find out if deja-vu belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add deja-vu -- npx deja-vuRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove deja-vuNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ deja-vu ← registers here
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 everything from before you installed it, and recall them in any agent. No LLM, no embeddings, one local Go binary.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 18, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.