deja-vu — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

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 · ★ 925

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is deja-vu safe to install? View the security audit →

About deja-vu

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

agent-memoryai-memoryclaude-codeclaude-code-hooksclaude-code-memoryclaude-code-pluginscodexcoding-agentsconversation-historydeepseek-harness

Quick Facts

Stars925
Forks89
LanguageGo
CategoryMCP Server
LicenseMIT
Quality Score67.0422434630531/100
Open Issues17
Last Updated2026-09-22
Created2026-07-14
Platformsclaude-code, cli, codex, gemini, go, mcp
Est. Tokens~18k

deja-vu alternative? Top 6 similar tools

Looking for a deja-vu alternative? If you're comparing deja-vu with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • memorix by AVIDS2 · ⭐ 797

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi

  • swarmvault by swarmclawai · ⭐ 649

    The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Bui

  • memtrace-public by syncable-dev · ⭐ 474

    Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code ·

  • memsearch by zilliztech · ⭐ 2.6k

    A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown a

  • agentrq by agentrq · ⭐ 1.1k

    AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agent

  • ownmem by grpcer · ⭐ 413

    Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Curso

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Frequently Asked Questions

What is deja-vu?

deja-vu is One memory shared by Claude Code, Codex, Cursor, Copilot CLI, OpenClaw and 29 more coding agents, built from the session history already on disk. A fix found in one agent comes back in any of them, in. It is categorized as a MCP Server with 925 GitHub stars.

What programming language is deja-vu written in?

deja-vu is primarily written in Go. It covers topics such as agent-memory, ai-memory, claude-code.

How do I install or use deja-vu?

You can find installation instructions and usage details in the deja-vu GitHub repository at github.com/vshulcz/deja-vu. The project has 925 stars and 89 forks, indicating an active community.

What license does deja-vu use?

deja-vu is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to deja-vu?

The top alternatives to deja-vu on Agent Skills Hub include memorix, swarmvault, memtrace-public. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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