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omega-memory MCP Server

omega-memory/omega-memory

Score: 87.8 ↑ 3.2% Rank #539 Search & RAG
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Persistent memory for AI coding agents

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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

Python Apache-2.0
ai-agentclaudeclaude-codellmmcpmemorymodel-context-protocolpersistent-memorycursorknowledge-graphsemantic-searchwindsurfai-memorycoding-agentcontext-engineeringlocal-firstmcp-server

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 223

223 stars → growing community

Freshness 25% 5d ago

Last commit 5d ago → actively maintained

Issue Health 25% 95%

37/39 issues closed → responsive maintainer

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 32
Description Brief
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Matched Queries

topic:mcptopic:mcp-servertopic:model-context-protocol

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 accumulate
Read full README on GitHub →

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