omega-memory/omega-memory

Overview

Omega Memory provides persistent memory for AI coding agents using Python. It allows agents to store and retrieve context across sessions, enabling long-term awareness of projects and tasks.

Best for

Best for
Developers building custom AI coding agents that need persistent context

Use cases

• Maintain agent memory across multiple code sessions
• Store project-specific context for consistent coding assistance
• Enable agents to recall past decisions and code patterns

How to use

Install

pip install omega-memory[server]    # Full install (memory + MCP server)

Tools exposed

• omega_store
• omega_query
• omega_welcome
• omega_profile
• omega_delete_memory
• omega_edit_memory
• omega_list_preferences
• omega_health
• omega_backup
• omega_lessons
• omega_feedback
• omega_clear_session
• omega_similar
• omega_timeline
• omega_consolidate
• omega_traverse
• omega_compact
• omega_checkpoint
• omega_resume_task
• omega_remind

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, ChatGPT

Notes

Omega Memory provides persistent memory for AI coding agents using Python. It allows agents to store and retrieve context across sessions, enabling long-term awareness of projects and tasks.

148 stars on GitHub. Last updated 2026-05-25. Licensed Apache-2.0.

Use cases

• Maintain agent memory across multiple code sessions
• Store project-specific context for consistent coding assistance
• Enable agents to recall past decisions and code patterns

Pros

• Open source with a permissive license
• Lightweight Python implementation easy to integrate
• Designed specifically for coding agent workflows

Cons

• Small user community and limited third-party integrations
• Documentation and examples may be sparse
• Requires Python environment and manual setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.