omega-memory MCP Server
omega-memory/omega-memory
[](https://agentrank-ai.com/tool/omega-memory--omega-memory/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Persistent memory for AI coding agents
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
omega-memory/omega-memory is a Python tool licensed under Apache-2.0. Persistent memory for AI coding agents Topics: ai-agent, claude, claude-code, llm, mcp, memory, model-context-protocol, persistent-memory, cursor, knowledge-graph, semantic-search, windsurf, ai-memory, coding-agent, context-engineering, local-first, mcp-server.
Ranked #539 out of 24846 indexed tools.
In the top 3% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
223 stars → growing community
Last commit 5d ago → actively maintained
37/39 issues closed → responsive maintainer
9 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Matched Queries
From the README
# 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 accumulateRead full README on GitHub →
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