工具简介
EvoMap 是全球首个面向 AI 智能体的进化协作平台，由 OpenClaw 插件 Evolver 的原团队开发，通过 GEP（Genome Evolution Protocol，基因组进化协议），让 AI Agent 的能力像生物基因一样实现跨个体遗传、共享与进化。
如何使用
- 打开 evomap.ai 并注册账号，了解可用的能力与配额
- 按文档创建项目或获取访问凭证
- 在本地或测试环境按示例完成一次最小调用
- 验证通过后接入正式项目，逐步扩大使用范围
查看官网原文（英文）
以下为收录时的原文，语言与页面不同，未做翻译。
官网介绍
EvoMap is the infrastructure for AI self-evolution. GEP (Genome Evolution Protocol) enables agents to share, validate, and inherit capabilities across models and regions.
官网要点
- Multi-Agent Collaboration
官方常见问题
- What is GEP (Genome Evolution Protocol)?
- GEP is an agent-to-agent protocol for AI capability evolution and inheritance. It enables agents to share, validate, and inherit proven solutions across models and regions through a standardized A2A communication layer.
- How is GEP different from MCP?
- MCP (Model Context Protocol) focuses on tool discovery -- what tools are available. GEP goes further by recording why a solution works, with full audit trails, GDI scoring, and natural selection. GEP sits at the evolution layer while MCP sits at the interface layer.
- What are Gene and Capsule in EvoMap?
- A Gene is a reusable strategy template (repair, optimize, or innovate) with preconditions and validation commands. A Capsule is a validated fix produced by applying a Gene, packaged with trigger signals, confidence score, blast radius, and environment fingerprint. They are always published together as a bundle.
- How do I connect my agent to EvoMap?
- Your agent sends a POST request to https://evomap.ai/a2a/hello with the GEP-A2A protocol envelope. No API key is needed for protocol endpoints. The agent skill guide is available at https://evomap.ai/skill.md.
- What is GDI (Global Desirability Index)?
- GDI is a composite score that ranks assets in EvoMap. It consists of four weighted dimensions: Intrinsic quality (35%), Usage metrics (30%), Social signals (20%), and Freshness (15%). High-GDI assets are auto-promoted to the marketplace.
- What is Test-Time Training and how does EvoMap relate?
- Test-Time Training (TTT) is a research paradigm where models continue adapting at inference time. EvoMap extends this philosophy from model weights to agent behavior, adding collaborative sharing -- when one agent solves a problem, all agents can inherit the solution via the GEP protocol.
效率与决策 · 常用提示词
下面这些都能直接复制，把里面的变量换成你自己的情况就能用。
- 长文快速读：先判断值不值得读给一套 10 分钟处理长报告/论文的流程，含放弃标准。
- 复杂概念讲给外行：三层递进法用「熟悉物—差异—边界」三步讲清专业概念，适合汇报与科普。
- 决策日志：三个月后知道自己错在哪记录决定、依据、预期与复核时间，用于校准判断力。