Store and retrieve persistent memory for AI coding agents with local-first architecture. Ranked #1 on LongMemEval benchmarks, enabling agents to maintain context across sessions without external dependencies.
io.github.omega-memory/core
Local install
STDIO
No auth required
How models use it and what it is built for.
Store and retrieve persistent memory for AI coding agents with local-first architecture. Ranked #1 on LongMemEval benchmarks, enabling agents to maintain context across sessions without external dependencies.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Omega Memory Core.
Paste any of these into Agent Studio after connecting Omega Memory Core.
Common questions about connecting and running Omega Memory Core.
What is Omega Memory and how does it work?
Omega Memory is a persistent memory system for AI coding agents that stores and retrieves context locally without external services. It ranked #1 on the LongMemEval benchmark, meaning it effectively maintains long-term context for agent tasks.
Is Omega Memory local-first or cloud-based?
Omega Memory is local-first, meaning all data is stored and processed on your machine. This eliminates external dependencies and keeps your coding context private.
How do I install and run Omega Memory?
Install using `uvx omega-memory@0.9.3`. The server runs over stdio transport, making it easy to integrate with MCP-compatible tools and AI agents.
What makes Omega Memory better than alternatives?
Omega Memory achieved the #1 ranking on LongMemEval, a benchmark for evaluating long-term memory retention in AI systems. Its local-first design also avoids latency and privacy concerns of cloud-based solutions.
Can I use Omega Memory across multiple coding sessions?
Yes, that's the core purpose—Omega Memory persists across sessions so your AI agent can recall patterns, decisions, and context from previous work without re-explaining the project.
MCP Playground runs 10,000+ hosted MCP servers — GitHub, Linear, Notion, Stripe, Sentry and more — across Claude, GPT, Gemini, DeepSeek and 40+ AI models. Compare model answers side-by-side, save agent presets, share runs. Zero install.
Open Agent StudioJudges Panel
45 judges that evaluate AI-generated code for security, cost, and quality with built-in AST.
Addozhang Nexus
Query Sonatype Nexus Repository (OSS/Pro) for Maven, Python, and Docker artifacts
Cyanheads MCP Ts Template
TypeScript template for building MCP servers with declarative tooling, observability, and auth.
Chernistry Bernstein
Declarative agent orchestration for engineering teams