OMEGA — Landing Page Copy
Drop-in ready sections for website or GitHub Pages. Each section is self-contained.
Hero Section
Your AI Has Amnesia. OMEGA Fixes It.
Every new session is a blank slate. Your AI agent doesn't remember your preferences, your architecture decisions, or the bug you spent three hours debugging yesterday.
OMEGA is the persistent memory and coordination layer for AI agents. Local-first, privacy-respecting, and the most complete AI memory platform available — 73 MCP tools spanning memory, multi-agent coordination, routing, and entity management in one package.
No cloud required. No Neo4j. One pip install.
Get Started | Benchmarks | GitHub
The Pain
Developers lose ~200 hours per year re-explaining context to their AI tools.
You've built a mental model of your codebase — architecture decisions, naming conventions, that tricky race condition in the queue processor. But every time you start a new session, your AI starts from zero.
You become the memory bridge: translating, re-explaining, re-establishing context. Every. Single. Session.
The numbers tell the story:
- 200 hours/year lost to context re-establishment per developer
- 30-40% productivity loss without persistent memory
- $1K-5K/month in token costs from context stuffing
- 66% cite "almost right but not quite" as their #1 AI frustration
- 43% → 33% — developer trust in AI accuracy is falling, not rising
"Like supervising a junior developer with short-term memory loss"
The Proof
Competitive accuracy. Unmatched breadth. Zero funding.
LongMemEval (ICLR 2025) is the standard benchmark for AI memory — 500 questions testing extraction, reasoning, temporal understanding, knowledge updates, and abstention.
| System | LongMemEval | Local-First | Multi-Agent | Tools | Funding |
|---|---|---|---|---|---|
| Hindsight | 91.4% | Yes | No | ~15 | — |
| Emergence | 86.0% | No | No | ~5 | — |
| Supermemory | 85.2% | No | No | ~10 | $2.6M |
| Mastra OM | 84.23% | No | No | ~10 | — |
| OMEGA | 76.8% | Yes | 28 tools | 73 | $0 |
| Zep/Graphiti | 71.2% | No | No | ~15 | — |
| Mem0 | — | No | No | ~5 | $24M |
Other systems specialize in memory accuracy. OMEGA is the only one that combines memory, coordination, routing, and privacy in a single local-first package — and it still outperforms graph-based systems like Zep without requiring Neo4j.
Three Things That Change Everything
1. Your AI Remembers — Automatically
OMEGA captures decisions, lessons, and preferences through hooks — no manual effort. When you start a new session, your AI already knows:
- Your coding conventions and preferences
- Architecture decisions from last week
- The debugging approach that worked for that async bug
- Which files you were editing when context was lost
Context virtualization lets you checkpoint mid-task and resume in a new session with full working memory. No more "where was I?"
2. Your Agents Work as a Team
Multi-agent is the future, but <10% of deployments succeed. The failure mode is always the same: agents stepping on each other.
OMEGA's 28 coordination tools provide:
- File claims — no edit conflicts
- Branch guards — protected branch enforcement
- Task management — formal work decomposition
- Peer messaging — direct agent-to-agent communication
- Deadlock detection — automatic alerts when agents block each other
No other memory system treats multi-agent coordination as a first-class concern. This capability alone has zero competitors in the MCP ecosystem.
3. Your Data Never Leaves Your Machine
Everything runs locally. SQLite database, ONNX embeddings on CPU, encrypted profiles via your system keychain.
- No cloud database required
- No API keys for core memory
- No Neo4j infrastructure
- ~31MB startup footprint
- Optional Supabase sync when you choose
77% of enterprise leaders cite data privacy as their #1 concern with AI. OMEGA eliminates that concern entirely.
One System, Not Twelve
| Capability | OMEGA | Best Alternative |
|---|---|---|
| Persistent Memory | 27 tools | Mem0 (~5 tools) |
| Multi-Agent Coordination | 28 tools | Nobody |
| Multi-LLM Routing | 10 tools | Nobody |
| Entity Management | 8 tools | Nobody |
| Document Ingestion | Yes | Varies |
| Context Virtualization | Yes | Letta (partial) |
| Local-First + Encrypted | Yes | Hindsight (partial) |
| Total MCP Tools | 73 | ~15 (best) |
Other tools give you a piece. OMEGA gives you the whole system.
What Developers Say
"Every new session is reset to the same knowledge as a brand new hire" — Pete Hodgson
"Auto-compacting just obliterates important context" — Developer feedback on existing tools
"Autonomy without memory doesn't scale" — The New Stack
Getting Started
pip install omega-memory
omega setup
That's it. OMEGA configures Claude Code hooks automatically. Your next session will include a welcome briefing with your stored memories, active context, and any pending tasks.
Works with: Claude Code, Cursor, Windsurf, and any MCP-compatible client.
Requires: Python 3.11+, ~31MB RAM at startup.
The Ecosystem
OMEGA is built for the MCP ecosystem — the fastest-adopted standard in AI tooling history.
- 10,000+ MCP servers in the ecosystem
- 97M monthly SDK downloads
- Linux Foundation governance
- Every major AI provider has adopted MCP
Memory and coordination are the missing infrastructure layers. The capabilities MCP doesn't standardize yet. OMEGA fills that gap.
Open Source. Community-First.
Apache 2.0 license. Foundation governance via Kokyo Keisho Zaidan.
- 19,000 lines of source code
- 20,000 lines of tests
- 1,592 passing tests
- Zero ruff warnings
- 73 MCP tools across 5 modules
Built by developers, for developers. No venture strings attached.
Star on GitHub | Read the Docs | Join the Community
OMEGA — Because your AI should remember.