No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vshulcz · MCP Server · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is deja-vu safe to install? View the security audit →
Your agents already solved this. deja finds it. vshulcz.github.io/deja-vu 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: — 7–9 ms over gigabytes, retroactive: months of logs from
| Stars | 1,176 |
| Forks | 112 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.9146248313072/100 |
| Open Issues | 12 |
| Last Updated | 2026-10-11 |
| Created | 2026-07-14 |
| Platforms | claude-code, cli, codex, gemini, go, mcp |
| Est. Tokens | ~18k |
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deja-vu is Memory for Claude Code, Codex, Cursor and 38 more coding agents, built from the session history already on your disk. Local search, MCP and hooks, no LLM, one Go binary.. It is categorized as a MCP Server with 1.2k GitHub stars.
deja-vu is primarily written in Go. It covers topics such as agent-memory, ai-memory, claude-code.
You can find installation instructions and usage details in the deja-vu GitHub repository at github.com/vshulcz/deja-vu. The project has 1.2k stars and 112 forks, indicating an active community.
deja-vu is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to deja-vu on Agent Skills Hub include memsearch, agentrq, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: