omni-cortex 1.6.0

Give Claude Code a perfect memory - auto-logs everything, searches smartly, and gets smarter over time

Omni Cortex MCP

A universal memory system for Claude Code that combines activity logging with intelligent knowledge storage.

What Is This?

For AI/ML experts: A dual-layer context system with activity provenance, hybrid semantic search (FTS5 + embeddings), and temporal importance decay. Think of it as Git + Elasticsearch + a knowledge graph for AI context.

For developers: It gives Claude Code a persistent, searchable memory that auto-logs everything and gets smarter over time. Like a senior developer's institutional knowledge—searchable, organized, and always available.

For everyone: It makes your AI assistant actually remember things. No more re-explaining your project every session.

Why Not Just Use CLAUDE.md or Basic Memory?

Feature	Claude Code	CLAUDE.md	Basic MCP	Omni-Cortex
Persists between sessions	❌	✅	✅	✅
Auto-logs all activity	❌	❌	❌	✅
Hybrid search (keyword + semantic)	❌	❌	❌	✅
Auto-categorizes memories	❌	❌	❌	✅
Importance decay + access boosting	❌	❌	❌	✅
Session history & context	❌	❌	❌	✅
Memory relationships	❌	❌	❌	✅
Cross-project search	❌	❌	❌	✅
Visual dashboard	❌	❌	❌	✅

The difference: Basic solutions are like sticky notes. Omni-Cortex is like having a trusted long-term employee who remembers everything, files it automatically, and hands you exactly what you need.

Features

• Zero Configuration: Works out of the box - just install and run setup
• Dual-Layer Storage: Activity logging (audit trail) + Knowledge store (memories)
• 18 MCP Tools: Full-featured API for memory management, activity tracking, session continuity, and cross-project search
• Semantic Search: AI-powered search using sentence-transformers (optional)
• Hybrid Search: Combines keyword (FTS5) + semantic search for best results
• Full-Text Search: SQLite FTS5-powered keyword search with smart ranking
• Auto-Categorization: Automatic memory type detection and tag suggestions
• Session Continuity: "Last time you were working on..." context
• Importance Decay: Frequently accessed memories naturally surface
• Auto Activity Logging: Automatically logs all tool calls via hooks

Installation

Quick Install (Recommended)

# Install the package
pip install omni-cortex

# Run automatic setup (configures MCP server + hooks)
omni-cortex-setup

That's it! Omni Cortex will now:

• Automatically log all Claude Code tool calls
• Provide memory tools (cortex_remember, cortex_recall, etc.)
• Create a per-project database at .omni-cortex/cortex.db

With Semantic Search

For AI-powered semantic search capabilities:

pip install omni-cortex[semantic]
omni-cortex-setup

From Source

git clone https://github.com/AllCytes/Omni-Cortex.git
cd omni-cortex
pip install -e ".[semantic]"
python -m omni_cortex.setup

Manual Configuration

If you prefer manual setup, add to ~/.claude.json:

{
  "mcpServers": {
    "omni-cortex": {
      "command": "python",
      "args": ["-m", "omni_cortex.server"]
    }
  }
}

And optionally configure hooks in ~/.claude/settings.json for activity logging:

{
  "hooks": {
    "PreToolUse": [{
      "type": "command",
      "command": "python -m omni_cortex.hooks.pre_tool_use"
    }],
    "PostToolUse": [{
      "type": "command",
      "command": "python -m omni_cortex.hooks.post_tool_use"
    }]
  }
}

Uninstall

omni-cortex-setup --uninstall
pip uninstall omni-cortex

Tools

Memory Tools (6)

Tool	Description
cortex_remember	Store information with auto-categorization
cortex_recall	Search memories (modes: keyword, semantic, hybrid)
cortex_list_memories	List memories with filters and pagination
cortex_update_memory	Update memory content, tags, or status
cortex_forget	Delete a memory
cortex_link_memories	Create relationships between memories

Activity Tools (3)

Tool	Description
cortex_log_activity	Manually log an activity
cortex_get_activities	Query the activity log
cortex_get_timeline	Get a chronological timeline

Session Tools (3)

Tool	Description
cortex_start_session	Start a new session with context
cortex_end_session	End session and generate summary
cortex_get_session_context	Get context from previous sessions

Utility Tools (3)

Tool	Description
cortex_list_tags	List all tags with usage counts
cortex_review_memories	Review and update memory freshness
cortex_export	Export data to markdown or JSON

Global Tools (3)

Tool	Description
cortex_global_search	Search memories across all projects
cortex_global_stats	Get global index statistics
cortex_sync_to_global	Manually sync to global index

Memory Types

Memories are automatically categorized into:

• general - General notes and information
• warning - Cautions, things to avoid
• tip - Tips, tricks, best practices
• config - Configuration and settings
• troubleshooting - Debugging and problem-solving
• code - Code snippets and algorithms
• error - Error messages and failures
• solution - Solutions to problems
• command - CLI commands
• concept - Definitions and explanations
• decision - Architectural decisions

Storage

• Per-project: .omni-cortex/cortex.db in your project directory
• Global: ~/.omni-cortex/global.db for cross-project search

Configuration

Create .omni-cortex/config.yaml in your project:

schema_version: "1.0"
embedding_enabled: true
decay_rate_per_day: 0.5
freshness_review_days: 30
auto_provide_context: true
context_depth: 3

Web Dashboard

A visual interface for browsing, searching, and managing your memories.

Features

• Memory Browser: View, search, filter, and edit memories
• Ask AI: Chat with your memories using Gemini
• Real-time Updates: WebSocket-based live sync
• Statistics: Memory counts, types, tags distribution
• Project Switcher: Switch between project databases

Quick Start

# Backend (requires Python 3.10+)
cd dashboard/backend
pip install -e .
uvicorn main:app --host 0.0.0.0 --port 8765 --reload

# Frontend (requires Node.js 18+)
cd dashboard/frontend
npm install
npm run dev

Open http://localhost:5173 in your browser.

Ask AI Setup (Optional)

To enable the "Ask AI" chat feature, set your Gemini API key:

export GEMINI_API_KEY=your_api_key_here

See dashboard/README.md for full documentation.

Documentation

• Tool Reference - Complete documentation for all 18 tools with examples
• Configuration Guide - Configuration options and troubleshooting
• Teaching Materials (PDF):
  • docs/OmniCortex_QuickStart.pdf - 3-page quick start guide
  • docs/OmniCortex_FeatureComparison.pdf - Comparison with basic memory MCPs
  • docs/OmniCortex_Philosophy.pdf - Design principles and inspiration
  • docs/OmniCortex_CommandReference.pdf - All tools with parameters

Regenerating PDFs

To regenerate the teaching material PDFs:

# Requires reportlab
pip install reportlab

# Generate all 4 PDFs
python docs/create_pdfs.py

The PDFs use a light theme with blue/purple/green accents. Edit docs/create_pdfs.py to customize colors or content.

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black src tests
ruff check src tests

Security

Omni Cortex v1.0.3 has been security reviewed:

• All SQL queries use parameterized statements
• Input validation via Pydantic models
• Model name validation prevents code injection
• YAML loading uses safe_load()

License

MIT