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saketh12e
by saketh12e

The Problem

Every agent you run today has amnesia.

Claude Desktop forgets what Cursor found. Cursor does not know what Claude Code wrote yesterday. Each session starts from zero.

Cortex is the persistent nervous system that connects them all.


Related MCP server: Awareness Local

What is Cortex?

Cortex is a local-first MCP server that gives every AI agent a shared, semantically searchable memory layer.

  • No cloud. No Docker. No API keys.

  • One SQLite file at ~/.cortex/cortex.db — shared across all clients

  • Every memory is origin-tagged: who wrote it, from which client, with which model

  • Hybrid search: BM25 keyword + cosine semantic retrieval fused with RRF

  • Built-in deduplication: exact hash + near-duplicate detection (cosine ≥ 0.95)

  • Soft-delete and audit trail on every write and delete


Quick Start

uvx cortex-mcp

That's it. The server starts, creates ~/.cortex/cortex.db, and is ready to accept connections from any MCP client.


Client Configuration

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "cortex": {
      "command": "uvx",
      "args": ["cortex-mcp"]
    }
  }
}

Claude Code

claude mcp add cortex -- uvx cortex-mcp

Cursor / Zed / Windsurf

{
  "mcpServers": {
    "cortex": {
      "command": "uvx",
      "args": ["cortex-mcp"]
    }
  }
}

Local Development

git clone https://github.com/yourusername/cortex-mcp
cd cortex-mcp
uv sync
uv run cortex-mcp

Point any MCP client at your local clone:

{
  "mcpServers": {
    "cortex": {
      "command": "uv",
      "args": ["--directory", "/path/to/cortex-mcp", "run", "cortex-mcp"]
    }
  }
}

Tools

Tool

Description

remember_fact

Store a single atomic fact with automatic deduplication

save_memory

Compact a full session into structured, searchable memories

recall

Hybrid semantic + keyword search across all stored memories

list_memories

Chronological listing with optional filters

forget

Soft-delete a memory by ID (retained for audit)

correct_memory

Replace an incorrect memory with a corrected version

verify_memory

Explicitly mark a memory as verified

get_agents

List all agents that have written memories

get_stats

Operational health snapshot (counts, DB size, expiry)

cortex_ping

Health check — verify the server is running


How Memory Works

Session ends
    │
    ▼
save_memory / remember_fact
    │
    ├── Exact dedup (SHA-256 hash)
    ├── Near-dedup (cosine similarity ≥ 0.95)
    ├── Embed (BAAI/bge-small-en-v1.5, 384-dim)
    └── Write to SQLite + FTS5 index
                │
                ▼
            recall(query)
                │
                ├── FTS5 pre-filter (top 200 candidates)
                ├── BM25 keyword rank
                ├── Cosine semantic rank
                └── RRF fusion → top_k results

Configuration

All settings are environment variables with the CORTEX_ prefix:

Variable

Default

Description

CORTEX_DB_PATH

~/.cortex/cortex.db

SQLite database path

CORTEX_EMBED_MODEL

BAAI/bge-small-en-v1.5

Sentence embedding model

CORTEX_TOP_K_DEFAULT

5

Default recall result count

CORTEX_DEDUP_THRESHOLD

0.95

Near-duplicate cosine threshold

CORTEX_LOG_LEVEL

INFO

Log level (DEBUG/INFO/WARNING/ERROR)


Requirements

  • Python 3.11+

  • uv (recommended) or pip


License

MIT

A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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