by JSingletonAI · MCP Server · ★ 501
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DejaVu Local-first AI memory for agents and assistants. Your AI tools forget everything between sessions. The ones that don't store your context on someone else's servers. DejaVu is the third option — a memory layer that runs on your machine, in SQLite, and plugs into anything that speaks Python, REST, CLI, or MCP. One memory store, every tool. Add a preference from the CLI, retrieve it in Claude Desktop, query it from a Python agent — same database, no sync, no account. Context built up in one tool is immediately available in the next. Private by default. Memories live in on your machine. The only thing that leaves is the LLM call itself, routed through Venice's privacy-focused API. No telemetry, no hosted memory service, no vendor lock-in. Open the SQLite file with any client and inspect every byte. Quick start That's it. Memories are saved to and searchable immediately. Set your Venice API key DejaVu uses Venice for memory extraction and reasoning. Get a k
| Stars | 501 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.3372781971754/100 |
| Last Updated | 2026-07-07 |
| Created | 2026-05-18 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
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DejaVu is DejaVu — private, portable AI memory powered by Venice and stored locally. It is categorized as a MCP Server with 501 GitHub stars.
DejaVu is primarily written in Python. It covers topics such as agents, ai, local-first.
You can find installation instructions and usage details in the DejaVu GitHub repository at github.com/JSingletonAI/DejaVu. The project has 501 stars and 9 forks, indicating an active community.
DejaVu is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to DejaVu on Agent Skills Hub include agentic-context-engine, npcpy, tools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.