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。
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。
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。
# 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"
// 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

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.
EVOLVE_STRATEGY=balanced|innovate|harden|repair-only controls intent balance.src/ops/): portable lifecycle, skill monitoring, cleanup, self-repair, wake triggers -- zero platform dependency.evolver fetch --skill <id>.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
.env file:A2A_HUB_URL=https://evomap.ai
A2A_NODE_ID=your_node_id_here
This is the recommended path for almost everyone.
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.
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
Evolver integrates with major agent runtimes through setup-hooks. Run it once per platform you want to wire up.
| Platform | Command | What 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-code | Registers 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=kiro | Three *.kiro.hook files + scripts in ~/.kiro/hooks/. Auto-discovered, no restart needed. |
| [opencode](https://opencode.ai) | evolver setup-hooks --platform=opencode | Plugin at ~/.opencode/plugins/evolver.js + scripts in ~/.opencode/hooks/. Restart opencode. |
| [OpenClaw](https://openclaw.com) | No setup needed | OpenClaw natively interprets the sessions_spawn(...) stdout directives Evolver emits. Just run evolver from inside an OpenClaw session. |
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.
Evolver is designed to be environment-agnostic.
| Variable | Description | Default |
|---|---|---|
EVOLVE_STRATEGY | Evolution strategy preset (balanced / innovate / harden / repair-only) | balanced |
A2A_HUB_URL | [EvoMap Hub](https://evomap.ai) URL | _(unset, offline mode)_ |
A2A_NODE_ID | Your node identity on the network | _(auto-generated from device fingerprint)_ |
EVOMAP_HUB_IP_FAMILY | Hub 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 fallback | ipv4first |
HEARTBEAT_INTERVAL_MS | Hub heartbeat interval | 360000 (6 min) |
MEMORY_DIR | Memory files path | ./memory |
EVOLVE_REPORT_TOOL | Tool name for reporting results | message |
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.
The evomap.ai dashboard has a "Worker" toggle on the node detail page. Here is how the two relate:
| Control | Scope | What 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:
WORKER_ENABLED=1 in your .env and start evolver --loop.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.
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。
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。
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 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。
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。
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)。
Evolver 的 API 可以通过 `node index.js` 来访问,支持 `--review` 和 `--loop` 等标志。
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。
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。
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。
⚠️ 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。
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。
| 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 |
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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