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智能体自进化引擎
🔌
MCP工具

智能体自进化引擎

基于 JavaScript · 让 AI 助手直接操作你的系统与工具
英文名:evolver
⭐ 7.4k Stars 🍴 755 Forks 💻 JavaScript 📄 GPL-3.0 🏷 AI 8.2分
8.2AI 综合评分
智能体进化自适应学习可审计性MCP协议多代理协作
✦ AI Skill Hub 推荐

AI Skill Hub 强烈推荐:智能体自进化引擎 是一款优质的MCP工具。已获得 7.4k 颗 GitHub Star,AI 综合评分 8.2 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。

📚 深度解析

智能体自进化引擎 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 智能体自进化引擎,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。智能体自进化引擎 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 智能体自进化引擎 评为 AI 评分 8.2 分,属于同类工具中的优质选择。

📋 工具概览

基于GEP技术的开源MCP工具,为AI智能体提供可审计的自我进化能力。支持智能体间通信与协作,具有完整的代理框架和协议支持。适合AI应用开发者、智能体研究人员和企业级应用场景。

智能体自进化引擎 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 7.4k
开发语言
JavaScript
支持平台
Windows / macOS / Linux
维护状态
持续维护,定期更新
开源协议
GPL-3.0
AI 综合评分
8.2 分
工具类型
MCP工具
Forks
755

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

基于GEP技术的开源MCP工具,为AI智能体提供可审计的自我进化能力。支持智能体间通信与协作,具有完整的代理框架和协议支持。适合AI应用开发者、智能体研究人员和企业级应用场景。

智能体自进化引擎 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/EvoMap/evolver

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "--------": {
      "command": "npx",
      "args": ["-y", "evolver"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 智能体自进化引擎 执行以下任务...
Claude: [自动调用 智能体自进化引擎 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "________": {
      "command": "npx",
      "args": ["-y", "evolver"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 87/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

🧬 Evolver

GitHub stars License: GPL-3.0 Node.js >= 18 npm downloads arXiv

Evolver Cover

evomap.ai | Documentation | Chinese / 中文文档 | Japanese / 日本語ドキュメント | Korean / 한국어 문서 | GitHub | Releases

---

Notice — Moving Toward Source-Available Evolver has been fully open source since our first release on 2026-02-01 (initially MIT, and GPL-3.0-or-later since 2026-04-09). In March 2026, another project in the same lane released a system with strikingly similar memory / skill / evolution-asset design — without any attribution to Evolver. Full analysis: Hermes Agent Self-Evolution vs. Evolver: A Detailed Similarity Analysis. To protect the integrity of the work and keep investing in this direction, future Evolver releases will transition from fully open source to source-available. Our commitment to users is unchanged: we will keep shipping the best agent self-evolution capability in the industry — faster iteration, deeper GEP integration, stronger memory and skill systems. All already-published MIT and GPL-3.0 versions remain freely usable under their original terms. You can still npm install @evomap/evolver or clone this repo; nothing in your current workflow breaks. Questions or concerns: open an issue or reach us at evomap.ai.

---

Research — The theory behind Evolver From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution · arXiv:2604.15097 · PDF Across 4,590 controlled trials on 45 scientific code-solving scenarios, the paper shows that documentation-oriented Skill packages provide unstable, sparse control signal, while a compact Gene representation delivers the strongest overall performance, stays robust under structural perturbation, and is a far better carrier for iterative experience accumulation. On CritPt, gene-evolved systems lift their paired base models from 9.1% to 18.57% and from 17.7% to 27.14%. Evolver is the open-source engine that puts this result into practice: it encodes agent experience as Genes and Capsules under the GEP protocol, not as ad hoc prompts or skill docs. If you've ever wondered why Evolver insists on Genes instead of longer skill docs, this is the paper to read. Want the applied version? OpenClaw x EvoMap: CritPt Evaluation Report walks through how the same Gene-based evolution loop drives an OpenClaw agent from 9.1% to 18.57% on CritPt Physics Solver across five versions (Beta -> v2.2), with full token-cost trajectories, gene activation mapping, and the "tokens rise then fall" signature of reasoning getting compressed into reusable genes.

---

"Evolution is not optional. Adapt or die."

Three lines - What it is: A GEP-powered self-evolution engine for AI agents. - Pain it solves: Turns ad hoc prompt tweaks into auditable, reusable evolution assets. - Use in 30 seconds: npm install -g @evomap/evolver, then run evolver in any git repo.

Features

  • Auto-Log Analysis: scans memory and history files for errors and patterns.
  • Self-Repair Guidance: emits repair-focused directives from signals.
  • GEP Protocol: standardized evolution with reusable assets.
  • Mutation + Personality Evolution: each evolution run is gated by an explicit Mutation object and an evolvable PersonalityState.
  • Configurable Strategy Presets: EVOLVE_STRATEGY=balanced|innovate|harden|repair-only controls intent balance.
  • Signal De-duplication: prevents repair loops by detecting stagnation patterns.
  • Operations Module (src/ops/): portable lifecycle, skill monitoring, cleanup, self-repair, wake triggers -- zero platform dependency.
  • Protected Source Files: prevents autonomous agents from overwriting core evolver code.
  • Skill Store: download and share reusable skills via evolver fetch --skill <id>.

Prerequisites

  • Node.js >= 18
  • Git -- Required. Evolver uses git for rollback, blast radius calculation, and solidify. Running in a non-git directory will fail with a clear error message.

1. Install

npm install -g @evomap/evolver

Verify the CLI is on your PATH:

evolver --help

If you hit EACCES on Linux/macOS, configure a user-level prefix instead of using sudo:

npm config set prefix ~/.npm-global
echo 'export PATH="$HOME/.npm-global/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc

Setup

  1. Register at evomap.ai and get your Node ID.
  2. Add the following to your .env file:
A2A_HUB_URL=https://evomap.ai
A2A_NODE_ID=your_node_id_here

CLI Quick Start

This is the recommended path for almost everyone.

Typical Use Cases

  • Harden a flaky agent loop by enforcing validation before edits
  • Encode recurring fixes as reusable Genes and Capsules
  • Produce auditable evolution events for review or compliance

Anti-Examples

  • Rewriting entire subsystems without signals or constraints
  • Using the protocol as a generic task runner
  • Producing changes without recording EvolutionEvent

Usage

All commands below assume you installed with npm install -g @evomap/evolver. If you are running from source, substitute node index.js for evolver -- they are equivalent.

3. Connect to the EvoMap network (optional)

Evolver works fully offline. Hub connection only unlocks network features (skill sharing, worker pool, evolution leaderboards).

Create a .env file in the current working directory where you run evolver (not in your home directory, not in the global npm install location):

```bash

4. Wire up your agent runtime (optional)

Evolver integrates with major agent runtimes through setup-hooks. Run it once per platform you want to wire up.

PlatformCommandWhat it writes
[Cursor](https://cursor.com)evolver setup-hooks --platform=cursor~/.cursor/hooks.json + scripts in ~/.cursor/hooks/. Restart Cursor or open a new session. Fires on sessionStart, afterFileEdit, stop.
[Claude Code](https://www.anthropic.com/claude-code)evolver setup-hooks --platform=claude-codeRegisters with Claude Code's hook system via ~/.claude/. Restart the Claude Code CLI.
[Codex](https://github.com/openai/codex)evolver setup-hooks --platform=codex~/.codex/hooks.json + scripts in ~/.codex/hooks/, enables codex_hooks feature in config.toml. Restart the Codex CLI. See [Codex caveats](#codex-caveats) below.
[Kiro](https://kiro.dev)evolver setup-hooks --platform=kiroThree *.kiro.hook files + scripts in ~/.kiro/hooks/. Auto-discovered, no restart needed.
[opencode](https://opencode.ai)evolver setup-hooks --platform=opencodePlugin at ~/.opencode/plugins/evolver.js + scripts in ~/.opencode/hooks/. Restart opencode.
[OpenClaw](https://openclaw.com)No setup neededOpenClaw natively interprets the sessions_spawn(...) stdout directives Evolver emits. Just run evolver from inside an OpenClaw session.

Codex caveats

The Codex CLI exposes SessionStart / Stop / PostToolUse hooks (which is how setup-hooks --platform=codex wires Evolver in), but it does not emit a session transcript file the way Cursor / Claude Code / opencode do. That means evolver --review cannot read raw session logs on Codex.

setup-hooks --platform=codex is lifecycle integration only; it does not route Codex model requests through Evolver Proxy. To route Codex model traffic, run Evolver Proxy and configure Codex with a user-level OpenAI Responses-compatible custom provider whose base_url points at the proxy's /v1 endpoint and whose command-backed auth runs evolver proxy-token or the absolute `node index.js proxy-token --settings ... helper emitted by scripts/internal-proxy-env.sh --codex-config` from a source checkout.

Evolver compensates by reading, in order:

1. MEMORY.md / USER.md in the workspace root (if you maintain them); 2. the `` section that setup-hooks --platform=codex injects into your project's AGENTS.md; 3. the tail of the local memory_graph.jsonl (the per-cycle outcome log that Evolver writes itself).

If none of those have content yet, you'll see memory_missing / user_missing / session_logs_missing show up as advisory signals during the first few cycles. They will go quiet on their own as memory_graph.jsonl accumulates outcomes — no manual setup required.

Configuration & Decoupling

Evolver is designed to be environment-agnostic.

Core Environment Variables

VariableDescriptionDefault
EVOLVE_STRATEGYEvolution strategy preset (balanced / innovate / harden / repair-only)balanced
A2A_HUB_URL[EvoMap Hub](https://evomap.ai) URL_(unset, offline mode)_
A2A_NODE_IDYour node identity on the network_(auto-generated from device fingerprint)_
EVOMAP_HUB_IP_FAMILYHub egress IP-family policy: ipv4first tries IPv4 first and falls back to dual-stack, auto uses dual-stack as the primary path, ipv4-only disables fallbackipv4first
HEARTBEAT_INTERVAL_MSHub heartbeat interval360000 (6 min)
MEMORY_DIRMemory files path./memory
EVOLVE_REPORT_TOOLTool name for reporting resultsmessage

Then use node index.js wherever the CLI docs say evolver

node index.js # equivalent to: evolver node index.js --review # equivalent to: evolver --review node index.js --loop # equivalent to: evolver --loop ```

Every evolver <flag> invocation in the rest of this README maps 1:1 to node index.js <flag> when running from source.

WORKER_ENABLED vs. the Website Toggle

The evomap.ai dashboard has a "Worker" toggle on the node detail page. Here is how the two relate:

ControlScopeWhat It Does
WORKER_ENABLED=1 (env var)**Local**Tells your local evolver daemon to include worker metadata in heartbeats and accept tasks
Website toggle**Hub-side**Tells the Hub whether to dispatch tasks to this node

Both must be enabled for your node to receive and execute tasks. If either side is off, the node will not pick up work from the network. The recommended flow:

  1. Set WORKER_ENABLED=1 in your .env and start evolver --loop.
  2. Go to evomap.ai, find your node, and turn on the Worker toggle.

FAQ

Does this edit code automatically? No. Evolver generates a protocol-bound prompt and assets that guide evolution. It does not modify your source code directly. See What Evolver Does (and Does Not Do).

I ran evolver --loop but it just keeps printing text. Is it working? Yes. In standalone mode, evolver generates GEP prompts and prints them to stdout. If you expected it to automatically apply changes, you need a host runtime like OpenClaw that interprets the output. Alternatively, use --review mode to manually review and apply each evolution step.

Do I need to connect to EvoMap Hub? No. All core evolution features work offline. Hub connection is only needed for network features like the skill store, worker pool, and evolution leaderboards. See Connecting to EvoMap Hub.

Do I need to use all GEP assets? No. You can start with default Genes and extend over time.

Is this safe in production? Use review mode and validation steps. Treat it as a safety-focused evolution tool, not a live patcher. See Security Model.

Where should I clone this repo? Clone it into any directory you like. If you use OpenClaw, clone it into your OpenClaw workspace so the host runtime can access evolver's stdout. For standalone use, any location works.

🇨🇳 中文文档镜像 AI 翻译 2026-05-24
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

Evolver 是一个用于自动化演化和自我修复的工具,通过分析内存和历史文件来识别错误和模式。它支持标准化演化协议(GEP Protocol)和可配置的演化策略。

⚡ 功能介绍

Evolver 的功能包括自动日志分析、自我修复指引、标准化演化协议(GEP Protocol)、突变和个性演化等。

📋 环境依赖

Evolver 需要 Node.js >= 18 和 Git,用于回滚、爆炸半径计算和固化等功能。

🛠 安装步骤(Docker/pip/源码)

安装 Evolver 可以使用 npm,命令为 `npm install -g @evomap/evolver`。如果遇到 EACCES 错误,可以配置用户级别前缀。

🚀 使用教程

Evolver 的使用方法包括 CLI 快速启动、典型用例和反例。它支持硬化易碎的代理循环、编码可重用的基因和胶囊、生成可审计的演化事件等功能。

⚙️ 配置说明(含 MCP / env)

Evolver 的配置包括连接到 EvoMap 网络(可选)、设置环境变量和连接到代理运行时(可选)。

🔌 API 说明

Evolver 的 API 可以通过 `node index.js` 来访问,支持 `--review` 和 `--loop` 等标志。

❓ FAQ 摘要

Evolver 的常见问题包括它是否会自动编辑代码、如何使用 `--loop` 标志等。

🎯 aiskill88 AI 点评 A 级 2026-05-17

evolver以GEP赋能的自进化引擎为创新点,星标7.4k彰显社区认可。MCP框架设计完善,可审计特性满足企业需求。代码活跃,值得深度应用。

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
部署方案
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
evolver 中文教程evolver 安装报错怎么办evolver MCP 配置evolver 与同类工具对比evolver 最佳实践evolver 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +GitHub 7.4k Star,社区高度认可
  • +GPL-3.0 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

⚠️ GPL 3.0 — 强 Copyleft,衍生作品须开源,含专利保护条款,不可闭源使用。

🔗 相关工具推荐

📚 相关教程推荐
📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

通过完整的演化日志记录和可验证的进化步骤,支持全程追踪智能体的学习过程
💡 AI Skill Hub 点评

总体来看,智能体自进化引擎 是一款质量优秀的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。

⬇️ 获取与下载
⬇ 下载源码(GPL)
⚠️ 本工具使用 GPL-3.0 协议。您可以自由下载和使用,但衍生作品必须以相同协议开源,不可商业闭源。使用前请确认符合协议要求。
📚 深入学习 智能体自进化引擎
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 evolver
原始描述 开源MCP工具:The GEP-powered self-evolving engine for AI agents. Auditable evolution with Gen。⭐7.4k · JavaScript
Topics 智能体进化自适应学习可审计性MCP协议多代理协作
GitHub https://github.com/EvoMap/evolver
License GPL-3.0
语言 JavaScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/EvoMap/evolver 🌐 官方网站  https://evomap.ai

收录时间:2026-05-13 · 更新时间:2026-05-16 · License:GPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。

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