omega-memory

GitHub

为AI编程代理提供持久化记忆层,支持跨会话决策继承、错误经验学习及任务断点续传。通过本地语义搜索和上下文重排序,帮助代理记住上下文并避免重复犯错。

openclaw-skill/SKILL.md omega-memory/omega-memory

Trigger Scenarios

需要跨会话保持上下文连续性 希望代理从历史错误或决策中学习 需要暂停并稍后恢复复杂编码任务

Install

npx skills add omega-memory/omega-memory --skill omega-memory -g -y
More Options

Non-standard path

npx skills add https://github.com/omega-memory/omega-memory/tree/main/openclaw-skill -g -y

Use without installing

npx skills use omega-memory/omega-memory@omega-memory

指定 Agent (Claude Code)

npx skills add omega-memory/omega-memory --skill omega-memory -a claude-code -g -y

安装 repo 全部 skill

npx skills add omega-memory/omega-memory --all -g -y

预览 repo 内 skill

npx skills add omega-memory/omega-memory --list

SKILL.md

Frontmatter
{
    "name": "omega-memory",
    "version": "1.0.0",
    "description": "Persistent memory for AI coding agents. Semantic search, auto-capture, checkpoint\/resume across sessions.",
    "requires_env": [],
    "requires_binaries": [
        "python3",
        "pip3"
    ]
}

OMEGA Memory

Persistent memory for AI coding agents. Your agent remembers decisions, learns from mistakes, and picks up where it left off.

Installation

pip3 install omega-memory[server]
omega setup

The omega setup command auto-configures your MCP client (Claude Code, Cursor, Windsurf, or Zed). No API keys needed — runs fully local with CPU-only embeddings.

What It Does

OMEGA gives your agent a persistent memory layer across coding sessions:

  • Decisions & context carry forward — no re-explaining
  • Lessons learned from errors are recalled before you repeat them
  • Checkpoint/resume lets you pause complex tasks and pick up later
  • Semantic search over all stored memories with contextual re-ranking

MCP Tools (12 tools)

Tool Purpose
omega_welcome Session briefing with recent memories and profile
omega_protocol Retrieve operating rules and behavioral guidelines
omega_store Store typed memory (decision, lesson, error, preference, summary)
omega_query Semantic or phrase search with tag filters and re-ranking
omega_lessons Cross-session lessons ranked by access count
omega_profile Read or update the user profile
omega_checkpoint Save task state for cross-session continuity
omega_resume_task Resume a previously checkpointed task
omega_memory Manage a specific memory (edit, delete, feedback, similar, traverse)
omega_remind Set, list, or dismiss time-based reminders
omega_maintain System housekeeping (health, consolidate, compact, backup, restore)
omega_stats Analytics: type breakdown, session stats, weekly digest, access rates

Usage Pattern

At the start of every session:

  1. Call omega_welcome() for context briefing
  2. Call omega_protocol() for operating instructions
  3. Follow the protocol it returns

During work:

  • Before non-trivial tasks: omega_query() to check for prior context
  • After completing tasks: omega_store(content, "decision") to save key outcomes
  • When context is getting full: omega_checkpoint() to save state

Links

Version History

  • 50dffeb Current 2026-07-24 16:27

Same Skill Collection

skills/omega-memory/SKILL.md

Metadata

Files
0
Version
91b17d5
Hash
fa76a0c4
Indexed
2026-07-24 16:27

Главная - Вики-сайт
Copyright © 2011-2026 iteam. Current version is 2.155.2. UTC+08:00, 2026-08-22 15:25
浙ICP备14020137号-1 $Гость$