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Local-First Agent Intelligence

Sovereign Intelligence
for AI Agents.

The LLM is rented. The intelligence is owned. OMEGA runs entirely on your machine.

Get Pro · $19/mo

14-day money-back · cancel anytime · Apache-2.0 core stays free

$ pip install omega-memory && omega setup
Or try Core free →
Works withClaude CodeCursorWindsurfOpenClawObsidian

Apache-2.0 · Local-first · Python 3.11+

Your memory across every provider.
On your machine.

Switch LLMs. Switch editors. Your agent's memory stays. Sovereign, local, yours.

Get OMEGA Pro · $19/mo

14-day money-back guarantee · Cancel anytime · Apache-2.0 core stays free

$ pip install omega-memory && omega setup
Or try Core free →

95.4%

LONGMEMEVAL

50ms

RETRIEVAL

AES-256

ENCRYPTED

Claude Code
Cursor
Windsurf
Cline
Zed
OpenClaw
Codex
Claude Desktop
Antigravity
Obsidian

Benchmark

0.0%

95.4% on LongMemEval · 50ms retrieval · zero cloud dependency

The only memory system proven on both LongMemEval and MemoryStress.

OMEGA
95.4%
Mastra OM
94.87%
Zep / Graphiti*
71.2%
No Memory
49.6%

LongMemEval (ICLR 2025) is the standard benchmark for AI memory systems. 500 questions testing extraction, reasoning, temporal understanding, and abstention.

OMEGA uses category-tuned prompts (different answer prompts per question type); Mastra does not. Different methodologies, not directly comparable. Tested with GPT-4.1 + OMEGA v1.0.0. Full methodology and source available in the repo. *Zep/Graphiti score from their published evaluation. Mastra OM score (gpt-5-mini actor) from their published research.

Sovereign Frontier

Memory + Dreaming + Audit. On your machine.

Cloud-only memory cannot make these promises. Court-admissible history, sovereign federation between nodes, autonomous hygiene with cryptographic proof of every consolidation. The composite substrate that compounds the moat instead of duplicating it.

P315

P3.15 · Signed Audit Chain

4 tools

Court-admissible memory lineage.

  • Ed25519 keypair lives on your machine, never leaves. Merkle tree over the immutable memver_ chain, signed at every export
  • Three-layer offline verifier (~200 lines): recompute leaves, rebuild root, check signature. Inclusion proofs for selective disclosure
P316

P3.16 · Federated Exchange

6 tools

Sovereign nodes that exchange signed subsets.

  • Two OMEGA instances trade memory subsets with verifiable origin. Trust allowlist gates incoming peers by Ed25519 fingerprint
  • Merge-time dedup on (content_hash, entity_id) is idempotent. Every imported row carries a federation_origin lineage block
P210

P2.10 · Autonomous Dreaming

4 tools

Memory that maintains itself.

  • Per-store scheduled consolidation. Local analyzers (Ollama supported) propose mutations, you approve or auto-apply against policy
  • Every applied dream appends to the signed memver_ chain. actor_kind=dream distinguishes scheduled hygiene from manual edits
P317

P3.17 · Typed Memory

3 tools + 4 schemas

Domain primitives for predictive workloads.

  • Pydantic v2 schemas (Calibration, Forecast, Anchor, Outcome). extra="forbid" fails typos at the boundary, not downstream
  • Foundation for the next wave of Sosa Research predictive products. First consumer: Meridian forecasting platform

Customers leave OMEGA tomorrow and the signed artifacts still verify. The math is yours, not ours. Vendor-trust elimination.

Your moat

Rent the LLM. Keep the intelligence.

Every firm has access to the same AI models. The edge is the institutional knowledge your agents accumulate. That knowledge compounds locally, on your machine, and it never leaves.

Σ

Institutional Finance

  • Strategy decisions, risk parameters, and trade rationale persist across sessions and analysts
  • Multi-agent coordination for research, risk, and execution pipelines with shared institutional context
  • Earnings transcripts, 10-Ks, and research PDFs indexed as retrievable knowledge
  • Contradiction detection flags when live parameters drift from documented constraints
⊚

Compliance & Audit

  • Court-admissible signed audit chain — Ed25519 + Merkle over an immutable version chain, verifiable offline forever
  • Per-leaf inclusion proofs for selective disclosure. Hand over one decision without revealing the rest
  • AES-256-GCM encryption at rest. Right-to-erasure redact preserves the audit chain instead of breaking it
  • Runs entirely on-premise. No third-party data processing agreements. Air-gap compatible
⌘

Software Engineering

  • Multi-repo context that follows you across projects and editors
  • Debug patterns and fixes recalled by semantic similarity, not exact keywords
  • Code review lessons compound. Same mistake never explained twice
  • Cross-session decisions prevent contradictory architecture changes

Get started faster

Get the setup guide and weekly tips for building agents that remember.

The problem

Four problems. One root cause.

×

Knowledge resets to zero

Every session starts blank. Last quarter’s analysis, risk constraints, strategy rationale — gone.

✓

Knowledge compounds

Decisions, analysis, and constraints persist. Each session builds on every one before it.

tap to reveal
⇆

Agents work blind

Research, risk, and execution agents with no shared context. Duplicated work, contradictory actions.

≡

Agents coordinate

Shared memory, file claims, intent broadcasting. Multi-agent pipelines without chaos.

tap to reveal
↻

Intelligence is disposable

Same corrections, same constraints re-explained. Institutional knowledge never accumulates.

→

Intelligence is permanent

Patterns, lessons, and institutional knowledge accumulate. Day 365 is irreplaceable.

tap to reveal
☁

Someone else’s server

Cloud memory services store your accumulated context on infrastructure you don’t control. Your IP flows upstream.

⌂

Your machine, your moat

SQLite, local embeddings, zero API keys. The LLM is rented. The intelligence is owned.

tap to reveal

How institutional knowledge compounds

Four stages between raw context and permanent edge.

Most tools stop at stage one. OMEGA runs all four.

Every memory flows through the same four stages. No manual tagging. No cloud calls. Each stage makes the next one smarter.

01

Stage 01: Capture

Zero effort

Every decision remembered automatically.

  • Decisions, corrections, and constraints are captured during normal work. Nothing falls through the cracks
  • High-value knowledge is prioritized. Noise is filtered at ingestion, not after
02

Stage 02: Understand

Semantic matching

Finds what matters, not just what matches.

  • Understands meaning, not keywords. A question about "portfolio risk" surfaces last quarter’s constraint discussion automatically
  • Runs entirely on your machine. No data leaves your infrastructure, ever
03

Stage 03: Evolve

Self-refining

Knowledge that sharpens over time.

  • Duplicate insights merge. Related knowledge consolidates. Your institutional memory gets cleaner the longer it runs
  • Stale decisions retire automatically. Contradictions are flagged before they cause damage
04

Stage 04: Retrieve

Instant recall

The right context, in under 50ms.

  • Three search strategies run in parallel and blend results. The most relevant knowledge surfaces first
  • Irrelevant or low-confidence matches are suppressed. Your agents only act on knowledge that matters

Every stage runs on your machine. No cloud. No external calls. The LLM is rented. The intelligence is owned.

Questions

Frequently asked. questions about OMEGA memory for AI agents

Every day your agents run with OMEGA, your institutional knowledge compounds. A competitor can clone any software overnight. They cannot replicate 12 months of accumulated decisions, constraints, corrections, and domain context. The moat isn’t the tool. It’s the time.

Mem0 is cloud-first. It requires an API key and sends your data to their servers. Your accumulated institutional context lives on infrastructure you don’t control. Graph features cost $249/mo. OMEGA runs entirely on your machine: memory, multi-agent coordination, and learning. Embeddings are computed locally with ONNX, graph relationships are included free, and your IP never leaves your infrastructure. OMEGA scores 95.4% on LongMemEval; Mem0 hasn’t published a score.

Yes. OMEGA Pro ships up to 134 MCP tools covering memory, coordination, autonomous dreaming, signed audit, federated exchange, typed memory, and more. AES-256-GCM encryption at rest, intelligent forgetting with audit trails, court-admissible signed audit chain, and multi-agent coordination with file claims and deadlock detection. Tested across thousands of sessions. 95.4% on LongMemEval (ICLR 2025) at 50ms retrieval. Tunable surface lets you load only what you use.

No. OMEGA uses a local ONNX embedding model (bge-small-en-v1.5) and SQLite for storage. Zero API keys, zero cloud dependencies, zero external calls. Your data never leaves your machine. No third-party data processing agreements required.

Minimal. Embedding a memory takes ~8ms on CPU. Queries return in under 50ms. The SQLite database and ONNX model add about 100MB to disk. OMEGA runs as a lightweight subprocess managed by your editor via MCP.

Any MCP-compatible client: Claude Code, Cursor, Windsurf, OpenClaw, Obsidian, Cline, and more. Works with any MCP-compatible agent framework your team deploys. Setup takes two commands.

Yes. OMEGA runs entirely on your machine with zero cloud dependencies. Your data never leaves your infrastructure. AES-256-GCM encryption at rest, full audit trails with provenance tracking, and intelligent forgetting with configurable retention policies. No third-party data processing agreements required. See our FINRA 2026 compliance guide at omegamax.co/compliance/finra-2026.

Yes. OMEGA Pro includes a knowledge base that indexes PDFs, documents, and structured data as retrievable memories. Earnings transcripts, research papers, 10-Ks, and internal documentation become part of your agent’s persistent intelligence, searchable by semantic similarity.

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Start compounding today.

Up to 134 tools. Court-admissible audit. Sovereign federation. Every day you wait is institutional knowledge you don't accumulate.

Get Pro · $19/mo

14-day money-back guarantee · Cancel anytime · Apache-2.0 core stays free

$ pip install omega-memory && omega setup
Or try Core free →

Apache 2.0 · Foundation Governed · Local-first · Python 3.11+