omega-memory — Cursor AI Agent
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    omega-memory

    omega-memory

    omega-memory February 13, 2026
    95 copies 0 downloads

    Persistent memory for AI coding agents

    OMEGA

    Cross-model memory for AI agents. Local-first. Works with Cursor, GPT, Cursor, 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.

    Python 3.11+ PyPI License Tests


    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 accumulated intelligence disappears.
    • Vendor lock-in. Anthropic's Memory Tool only works with Cursor. OpenAI's memory only works with GPT. Switch models, lose your memory.

    OMEGA solves this. Memory, coordination, and learning that runs entirely on your machine. Works with every major LLM and coding agent. No cloud. No API keys. No vendor lock-in.

    <!-- TODO: terminal GIF showing memory recall across sessions --> <!-- mcp-name: io.github.omega-memory/omega-memory -->

    Quick Install

    pip install omega-memory[server]    # Full install (memory + MCP server)
    omega setup                         # Downloads model, registers MC
    

    Tags

    ai-agentai-memoryclaudeclaude-codecoding-agentcontext-engineeringcursorknowledge-graphllmlocal-first

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