为 OpenClaw 注入持久记忆与自进化技能
完全本地化 全量可视化管理 分级模型极致省钱
Persistent memory and self-evolving skills for OpenClaw agents.
100% local storage, full visualization dashboard, and tiered models for cost efficiency.
把 MemOS 带进你的 OpenClawBring MemOS to your OpenClaw workflow
MemOS 为 OpenClaw 注入持久记忆与自进化技能。MemOS equips OpenClaw with persistent memory and self-evolving skills.
记忆、任务、技能全存本机 SQLite，零云依赖。All data stored in local SQLite — zero cloud dependency, complete privacy.
内置管理面板，记忆 / 任务 / 技能完全透明可控。Built-in web dashboard — memories, tasks, and skills fully transparent and controllable.
碎片对话自动归纳为结构化任务，再提炼为可复用技能并持续升级。从「记住」到「学会」，同一个坑不踩两次。Fragmented conversations auto-organized into structured tasks, then distilled into reusable skills that evolve over time. From "remembering" to "mastering" — never repeat the same mistake twice.
Embedding 轻量、摘要中等、技能高质量——按需分配，大幅省钱。Lightweight, mid-tier, and high-quality models layered by purpose — maximum performance at minimum cost.
记忆隔离 + 公共记忆 + 技能共享。多个 Agent 各有私域记忆，又能共享知识与技能，协同进化。Memory isolation + public memory + skill sharing. Each agent has private memories while sharing knowledge and skills for collective evolution.
一键迁移 OpenClaw 内置记忆，智能去重、断点续传、实时进度。你过往的记忆不会丢失，再续前缘。One-click migration from OpenClaw built-in memories. Smart dedup, resume anytime, real-time progress. Your past memories, never lost.
碎片对话自动归组为结构化任务（目标 → 步骤 → 结果），再由 LLM 评估提炼为可复用技能。遇到相似场景时自动升级——更快、更准、更省 Token。从「能记住」到「会做」，同一个坑不踩两次。任务与技能支持编辑、删除、重试等完整管理。Fragmented conversations are auto-organized into structured tasks (goal → steps → result), then LLM evaluates and distills them into reusable skills. Skills auto-upgrade on similar scenarios — faster, more accurate, lower cost. From "remembering" to "mastering" — never repeat the same mistake. Full CRUD for tasks and skills.
Task: "部署 Nginx 反向代理" completed Goal: 配置反向代理到 Node.js Steps: 1. nginx conf 2. upstream 3. SSL 4. reload Result: ✓ HTTPS 正常 Evaluating: shouldGenerate=true conf=0.85 → SKILL.md + scripts → quality 8.5/10 ✓ "nginx-proxy" v1 created // 再次执行时自动升级 Upgrade: extend → added WebSocket ✓ v2 (score: 9.0)
每个 Agent 拥有独立的私域记忆，互不可见。但通过「公共记忆」和「技能共享」机制，Agent 之间能够共享决策、经验与能力。一个 Agent 学会的技能，可以发布为公共技能，其他 Agent 搜索并安装后即可复用。多智能体不再各自为战，而是协同进化、共同进步。Each agent has isolated private memory, invisible to others. But through public memory and skill sharing, agents can share decisions, experiences, and capabilities. Skills learned by one agent can be published for others to discover and install. Multi-agent systems no longer work in silos — they evolve collaboratively, growing together.
Agent Alpha: memory_search("deploy config") → sees own + public memories only memory_write_public("shared deploy config") skill_publish("nginx-proxy") ✓ now public Agent Beta: skill_search("nginx deployment") → Found: nginx-proxy (public) skill_install("nginx-proxy") ✓ installed
内置 Web 管理面板——记忆、任务、技能、分析、日志、导入、设置共 7 页。任务以对话气泡还原，技能支持版本对比与下载，日志页可查看工具调用输入输出与耗时。Built-in dashboard — 7 pages: memories, tasks, skills, analytics, logs, import, and settings. Task details as chat bubbles. Logs show tool call I/O and duration.
多轮对话组织为完整知识单元，检索效率大幅提升。Multi-turn dialogues organized into reusable knowledge units.
实战操作指南，相似任务直接调用，跳过摸索。Battle-tested procedural guides, invoked automatically on similar tasks.
新经验触发 Skill 升级（refine/extend/fix）。New experiences trigger automatic skill upgrades (refine / extend / fix).
轻量/中等/高质量模型分层配置，极致省钱。Purpose-matched models for maximum cost efficiency.
npm 一键安装，两种配置方式任选。One-command install. Two configuration methods.
macOS / Linux 用户建议先安装 C++ 编译工具（用于 better-sqlite3），Windows 通常可直接安装。
遇到安装问题？查看排查指南 →macOS / Linux users: install C++ build tools first (for better-sqlite3). Windows usually works out of the box.
Install issues? See troubleshooting guide →
# Step 0: 安装编译工具 (macOS / Linux) xcode-select --install # macOS # sudo apt install build-essential # Linux # Windows 用户可跳过此步 # Step 1: 安装插件 & 启动 openclaw plugins install @memtensor/memos-local-openclaw-plugin openclaw gateway start
网页面板：http://127.0.0.1:18799 登录后点「设置」。或编辑 openclaw.json。Web panel: http://127.0.0.1:18799 → Settings. Or edit openclaw.json.
{
"plugins": {
"slots": { "memory": "memos-local-openclaw-plugin" },
"entries": {
"memos-local-openclaw-plugin": {
"config": {
"embedding": {
"provider": "openai_compatible",
"model": "bge-m3",
"endpoint": "https://your-api-endpoint/v1",
"apiKey": "sk-••••••"
},
"summarizer": {
"provider": "openai_compatible",
"model": "gpt-4o-mini",
"endpoint": "https://your-api-endpoint/v1",
"apiKey": "sk-••••••"
},
"skillEvolution": {
"summarizer": {
"provider": "openai_compatible",
"model": "claude-4.6-opus",
"endpoint": "https://your-api-endpoint/v1",
"apiKey": "sk-••••••"
}
},
"viewerPort": 18799
}
}
}
}
}
OpenAI 兼容 API 即插即用，无配置自动降级本地模型。Any OpenAI-compatible API works out of the box. Automatic fallback to local models when no API key is configured.
每轮自动回忆Auto recall each turn
记忆检索Memory search
获取完整记忆Get full memory
上下文邻居Context neighbors
写入公共记忆Write public memory
任务摘要Task summary
技能指南Skill guide
安装技能Install skill
技能发现Skill discovery
公开技能Publish skill
取消公开Unpublish skill
管理面板Dashboard
从 OpenClaw 原生 SQLite 和会话记录中无缝迁移，智能去重、自动摘要、技能生成一气呵成。你和 AI 共同积累的每一段对话，都值得被记住。Seamlessly migrate from OpenClaw's native SQLite and session logs. Smart deduplication, auto-summarization, and skill generation — all in one flow. Every conversation you've built with your AI deserves to be preserved.
自动扫描 OpenClaw 原生记忆文件，一键启动导入，实时显示进度与统计。Automatically scans OpenClaw native memory files. Start import with one click and monitor real-time progress.
向量相似度 + LLM 判断双重去重，相似内容自动合并，不留冗余。Vector similarity combined with LLM judgment for dual-layer deduplication. Similar content is automatically merged with zero redundancy.
支持随时暂停，刷新页面后自动恢复进度。后台持续运行，已处理的自动跳过。Pause anytime and auto-resume on page refresh. Runs in the background, automatically skipping already processed items.
导入后可选生成任务摘要和技能进化，同一 Agent 内串行处理，不同 Agent 之间并行（可配置 1–8 并发度），支持暂停和断点续传。Optionally generate task summaries and evolve skills. Serial within each agent, parallel across agents (configurable 1–8 concurrency), with full pause and resume support.
从记忆导入到智能检索再到可视化管理，一站式体验 MemOS 的核心能力。From memory import to smart retrieval to visual management — explore MemOS's core capabilities in an interactive demo.
从 OpenClaw 原生格式无缝迁移，实时进度与智能去重。Seamlessly migrate from OpenClaw's native format with real-time progress and smart deduplication.
FTS5 全文 + 向量相似度 + RRF 融合 + MMR 重排，多策略混合召回。FTS5 full-text search, vector similarity, RRF fusion, and MMR reranking — multi-strategy hybrid recall for precise results.
七大管理页面：记忆浏览、任务摘要、技能进化、数据分析、日志追踪、记忆导入、在线配置。Seven management pages: memories, tasks, skills, analytics, logs, import, and settings.
完全本地化 · 全量可视化 · 任务与技能自进化 · 多智能体协同 · 记忆迁移100% local · Full dashboard · Task & skill evolution · Multi-agent collaboration · Memory migration