OMEGA
Cross-model memory for AI agents. Local-first. Works with Claude, GPT, Gemini, Cursor, Claw Code, and any MCP client. Your agent's brain shouldn't live on someone else's server, or be locked to one provider.
The Problem
AI coding agents are stateless. Every new session starts from zero. The "solutions" either lock you into one model provider or send your codebase context to their cloud.
- Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already established.
- Repeated mistakes. Without learning from past sessions, agents make the same errors over and over. They don't remember what worked, what failed, or why a particular approach was chosen.
- Cloud memory = someone else's database. Services like Mem0 require API keys and send your data to their servers. When they change pricing, get acquired, or go down, your agent's accumulated intelligence disappears.
- Vendor lock-in. Anthropic's Memory Tool only works with Claude. OpenAI's memory only works with GPT. Switch models, lose your memory.
OMEGA solves this. Memory, coordination, and learning that runs entirely on your machine. Works with every major LLM and coding agent. No cloud. No API keys. No vendor lock-in.
Quick Install
pip install omega-memory[server]
omega setup
omega doctor
Claude Desktop
pip install omega-memory[server]
omega setup --client claude-desktop
This registers OMEGA as an MCP server in Claude Desktop's config. Restart Claude Desktop to activate.
Cursor, Claw Code, Windsurf, Cline, Codex
pip install omega-memory[server]
omega setup --client cursor
Library-only install (no MCP server)
If you only need OMEGA as a Python library for scripts, CI/CD, or automation:
from omega import store, query, remember
store("Always use TypeScript strict mode", "user_preference")
results = query("TypeScript preferences")
This gives you the full storage and retrieval API without running an MCP server (~50 MB lighter, no background process). Hooks still work:
From Source
git clone https://github.com/omega-memory/omega.git
cd omega
pip install -e ".[server,dev]"
omega setup
omega setup will:
- Create
~/.omega/ directory
- Download the ONNX embedding model (~90 MB) to
~/.cache/omega/models/
- Register
omega-memory as an MCP server (Claude Code auto-detected, or specify --client)
- Install session hooks into
~/.claude/settings.json
- Add an OMEGA block to
~/.claude/CLAUDE.md
60-Second Quickstart
OMEGA works through natural language — no API calls, no configuration. Just talk to Claude.
1. Tell Claude to remember something:
"Remember that the auth system uses JWT tokens, not session cookies"
Claude stores this as a permanent memory with semantic embeddings.
2. Close the session. Open a new one.
3. Ask about it:
"What did I decide about authentication?"
OMEGA surfaces the relevant memory automatically:
Found 1 relevant memory:
[decision] "The auth system uses JWT tokens, not session cookies"
Stored 2 days ago | accessed 3 times
That's it. Memories persist across sessions, accumulate over time, and are surfaced automatically when relevant — even if you don't explicitly ask.
Key Features
-
Memory & Learning — Stores decisions, lessons, error patterns, and preferences with semantic search. Claude recalls what matters without you re-explaining everything each session. 25 memory tools including compaction, consolidation, timeline, graph traversal, and context virtualization (checkpoint/resume).
-
Multi-Agent Coordination (omega-pro) — File and branch locking, session management, task queues with dependencies, intent broadcasting, and agent-to-agent messaging. 29 coordination tools that prevent agents from overwriting each other's work.
-
Intelligent LLM Routing (omega-pro) — Classifies tasks and routes to the optimal model. Coding → Claude Sonnet. Quick edit → Llama 8b at 1/60th the cost. 1M token context → Gemini Flash. 5 providers, 4 priority modes, sub-2ms intent classification.
-
Knowledge Base (omega-pro) — Ingest PDFs, markdown, web pages, and text files into a searchable knowledge base with semantic chunking.
-
Entity Registry (omega-pro) — Multi-entity corporate memory with relationships, hierarchies, and entity-scoped memories/profiles/documents.
-
Secure Profile (omega-pro) — AES-256 encrypted personal data storage with macOS Keychain integration.
How OMEGA Compares
| Feature | OMEGA | Anthropic Memory | Mem0 | Zep |
|---|
| Works with any LLM/agent | Yes | Claude only | Yes | Yes |
| Your data stays on your machine | Yes | Partial* | No | No |
| No cloud dependency | Yes | No (needs API) | No | No |
| Semantic search + knowledge graph | Yes | No (file CRUD) | $249/mo | Yes |
| Multi-agent coordination | Yes (pro) | Research preview | No | No |
| Works with Claude Code, Cursor, Claw Code | Yes | Claude only | Partial | No |
| Free & open source | Yes (Apache 2.0) | No | Freemium | Freemium |
Anthropic's Memory Tool stores data client-side but requires Claude API calls for all memory operations. OMEGA runs entirely on-device, including embeddings (ONNX).
Anthropic Memory is for Anthropic. OMEGA is for everyone.
Architecture
Claude Code · Cursor · Claw Code · Any MCP Client
│ │ │ │
└─────────┴─────┬───┴──────────────┘
│ stdio/MCP
┌───────────────▼─────────────┐
│ OMEGA MCP Server │
│ 25 core tools │
└──┬──────────────────┘
│
┌────────▼──────────────┐
│ Core Memory Engine │
│ (semantic search, │
│ embeddings, graphs) │
└─────┬─────────────────┘
│
▼
┌──────────────────────────────────────┐
│ omega.db (SQLite) │
│ memories | edges | embeddings │
└──────────────────────────────────────┘
Single database, modular handlers. Optional modules (coordination, router, entity, knowledge, profile) are available via omega-pro and register into the same server process. No separate daemons, no microservices.
OMEGA runs as an MCP server inside Claude Code. The core package provides 25 memory tools. omega-pro adds coordination, routing, entity, knowledge, and profile tools.
| Tool | What it does |
|---|
omega_store | Store typed memory (decision, lesson, error, summary) |
omega_query | Semantic search with tag filters and contextual re-ranking |
omega_welcome | Session briefing with recent memories and profile |
omega_profile | Read or update user profile |
omega_delete_memory | Delete a specific memory by ID |
omega_edit_memory | Edit the content of a memory |
omega_list_preferences | List all stored user preferences |
omega_health | Detailed health check with memory usage and recommendations |
omega_backup | Export or import memories for backup/restore |
omega_lessons | Cross-session lessons ranked by access count |
omega_feedback | Record feedback on a surfaced memory |
omega_clear_session | Clear all memories for a specific session |
omega_similar | Find memories similar to a given one |
omega_timeline | Memories grouped by day |
omega_consolidate | Prune stale memories, cap summaries, clean edges |
omega_traverse | Walk the relationship graph |
omega_compact | Cluster and summarize related memories |
omega_checkpoint | Save task state for cross-session continuity |
omega_resume_task | Resume a previously checkpointed task |
omega_remind | Set a time-based reminder |
omega_remind_list | List active reminders |
omega_remind_dismiss | Dismiss a reminder |
omega_type_stats | Memory counts grouped by event type |
omega_session_stats | Memory counts grouped by session |
omega_weekly_digest | Weekly knowledge digest with stats and trends |
| Module | Tools | Description |
|---|
| Coordination | 29 | File/branch locking, sessions, tasks, messaging, audit |
| Router | 10 | LLM routing, intent classification, model switching |
| Entity | 8 | Corporate entities, relationships, hierarchies |
| Knowledge | 5 | Document ingestion, semantic search, RAG |
| Profile | 3 | AES-256 encrypted personal data storage |
CLI
| Command | Description |
|---|
omega setup | Create dirs, download model, register MCP, install hooks (--hooks-only to skip MCP) |
omega doctor | Verify installation health |
omega status | Memory count, store size, model status |
omega query <text> | Search memories by semantic similarity |
omega store <text> | Store a memory with a specified type |
omega timeline | Show memory timeline grouped by day |
omega activity | Show recent session activity overview |
omega stats | Memory type distribution and health summary |
omega consolidate | Deduplicate, prune, and optimize memory |
omega compact | Cluster and summarize related memories |
omega backup | Back up omega.db (keeps last 5) |
omega validate | Validate database integrity |
omega logs | Show recent hook errors |
omega migrate-db | Migrate legacy JSON to SQLite |
Advanced Details
Hooks (7 processes, 11 handlers)
All hooks dispatch via fast_hook.py → daemon UDS socket, with fail-open semantics.
| Hook | Matcher | Handlers | Purpose |
|---|
| SessionStart | all | session_start | Welcome briefing, session resume |
| Stop | all | session_stop | Summary |
| UserPromptSubmit | all | auto_capture | Auto-capture lessons/decisions |
| PostToolUse | Edit/Write/NotebookEdit | surface_memories | Surface relevant memories |
| PostToolUse | Bash/Read | surface_memories | Surface relevant memories |
With omega-pro, additional coordination handlers register automatically: session lifecycle, file/branch claim guards, heartbeat, and git push guards.
Storage
| Path | Purpose |
|---|
~/.omega/omega.db | SQLite database (memories, embeddings, edges) |
~/.omega/profile.json | User profile |
~/.omega/hooks.log | Hook error log |
~/.cache/omega/models/bge-small-en-v1.5-onnx/ | ONNX embedding model |
Search Pipeline
- Vector similarity via sqlite-vec (cosine distance, 384-dim bge-small-en-v1.5)
- Full-text search via FTS5 (fast keyword matching)
- Type-weighted scoring (decisions/lessons weighted 2x)
- Contextual re-ranking (boosts by tag, project, and content match)
- Deduplication at query time
Memory Lifecycle
- Dedup: SHA256 hash (exact) + embedding similarity 0.85+ (semantic) + Jaccard per-type
- Evolution: Similar content (55-95%) appends new insights to existing memories
- TTL: Session summaries expire after 1 day, lessons/preferences are permanent
- Auto-relate: Creates
related edges (similarity >= 0.45) to top-3 similar memories
- Compaction: Clusters and summarizes related memories
- Startup: ~31 MB RSS
- After first query (ONNX model loaded): ~337 MB RSS
- Database: ~10.5 MB for ~242 memories
What Gets Modified
omega setup modifies these files outside ~/.omega/:
~/.claude.json — Adds omega-memory MCP server entry~/.claude/settings.json — Adds hook entries~/.claude/CLAUDE.md — Adds a managed <!-- OMEGA:BEGIN --> block
All changes are idempotent.
Troubleshooting
omega doctor shows FAIL on import:
- Ensure
pip install -e ".[server]" from the repo root
- Check
python3 -c "import omega" works
MCP server fails to start:
- Run
pip install omega-memory[server] (the [server] extra includes the MCP package)
MCP server not registered:
claude mcp add omega-memory -- python3 -m omega.server.mcp_server
Hooks not firing:
- Check
~/.claude/settings.json has OMEGA hook entries
- Check
~/.omega/hooks.log for errors
Development
pip install -e ".[server,dev]"
pytest tests/
ruff check src/
Uninstall
claude mcp remove omega-memory
rm -rf ~/.omega ~/.cache/omega
pip uninstall omega-memory
Manually remove OMEGA entries from ~/.claude/settings.json and the <!-- OMEGA:BEGIN --> block from ~/.claude/CLAUDE.md.
Contributing
License
Apache-2.0. See LICENSE.