Local-first AI memory engine — 4-tier memory, people graph, Bayesian beliefs. Encrypted, 62µs.
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Cortex MCP Server is an MCP server that local-first AI memory engine — 4-tier memory, people graph, Bayesian beliefs. Encrypted, 62µs. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 83/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"cortex": {
"args": [
"/Users/you/.cortex/memory.db"
],
"command": "/Users/you/.local/bin/cortex-mcp-server"
}
}
}Are you the author?
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🧠 Try Cortex in your browser — zero install, 124KB WASM, runs entirely client-side. > If Cortex helps your AI remember, give it a ⭐ — it takes 1 second and helps others discover the project.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'cortex-ai-memory' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked cortex-ai-memory against OSV.dev.
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🧠 Try Cortex in your browser — zero install, 124KB WASM, runs entirely client-side.
If Cortex helps your AI remember, give it a ⭐ — it takes 1 second and helps others discover the project.
Private. Free. Local. — a memory engine for personal AI agents.
Your AI's memory lives on your device — your data never leaves, never costs, never spies. Pure Rust. 3.8MB binary. No third-party servers in the data path, zero telemetry, zero cost. Syncs through your own cloud storage. (On-device semantic search downloads a ~30MB model once on first use, then runs fully offline — or go 100% offline with CORTEX_NO_EMBEDDINGS=1. See Security & Privacy.)

What you get
See it remember across sessions — ~30 seconds:
brew install gambletan/tap/cortex-mcp-server # or: cargo build --release -p cortex-mcp-server
claude mcp add cortex-memory -- cortex-mcp-server ~/.cortex/memory.db
Tell Claude "remember I deploy on Fly.io and always run tests before pushing." Open a brand-new session and ask "how do I deploy this project?" — it answers from memory, 100% on your machine.
⭐ If that's useful, give it a star — it helps others find a memory engine that respects their privacy.
LLMs start blank every session — they forget your name, your preferences, yesterday's conversation, last week's decision. The usual fixes are flat text files (no ranking, no decay), keyword grep, or cloud APIs that add 200–500ms, charge you, and ship your personal data to someone else's server. Cortex gives your AI structured, self-evolving long-term memory that persists across sessions and channels — all local, all yours. Your memories are not a cloud provider's training data, a startup's monetization asset, or a surveillance target.
| Cortex | Mem0 | OpenAI Memory | |
|---|---|---|---|
| Privacy | 100% local, zero cloud | Cloud API (your data on their servers) | OpenAI servers |
| Latency | 156µs ingest, 568µs search | ~200-500ms | ~300-800ms |
| Cost | Free, forever | $99+/mo (Pro) | ChatGPT Plus ($20/mo) |
| Memory tiers | 4 (Working/Episodic/Semantic/Procedural) | 1 (flat) | 1 (flat) |
| Bayesian beliefs | Self-correcting with evidence | No | No |
| People graph | Cross-channel identity resolution | Paid tier only | No |
| Conversation compression | Automatic session summarization | No | No |
| Relationship inference | Pattern-based (EN + CN) | No | No |
| Temporal retrieval | Intent-aware ("recently" / "first time") | No | No |
| Contradiction detection | Automatic with confidence scores | No | No |
| Consolidation | Episodic → Semantic auto-promotion |