AI Skill Hub 强烈推荐:进化智能代理 是一款优质的MCP工具。AI 综合评分 8.0 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。
进化智能代理 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。
进化智能代理 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/AgentToolkit/altk-evolve
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"------": {
"command": "npx",
"args": ["-y", "altk-evolve"]
}
}
}
# 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 进化智能代理 执行以下任务... Claude: [自动调用 进化智能代理 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", "altk-evolve"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
REST API endpoints (GET /api/entities/public, publish/unpublish routes) and UI controls are not yet implemented.
git clone https://github.com/agenttoolkit/altk-evolve.git cd altk-evolve uv venv --python=3.12 && source .venv/bin/activate uv sync --package altk-evolve
Prerequisites: - Python 3.12 or higher - uv (recommended) or pip
From Source ```bash
cd frontend/ui npm ci && npm run build cd ../..
From PyPIbash pip install altk-evolve
**Choose your installation:**
- `altk-evolve` bundles `altk-evolve-core[server,cli,fastembed,tracing]` at the same version.
- `altk-evolve-core` contains the Python implementation without server/CLI dependencies,
an embedding runtime, or a Phoenix server. Libraries should depend on core and select the extras they need.
- Add `[server]` for the HTTP/MCP server and its telemetry exporters, or `[cli]`
for the command-line interface. `[telemetry]` provides the SDK and OTLP exporter
independently; both `[server]` and `[tracing]` include it. Core retains the OpenTelemetry API so host applications
can supply their own telemetry providers.
- All extras belong to core. Existing `altk-evolve[pgvector]`, `[pii-semantic]`, and
other extras forward to core while retaining the convenience defaults.
- Install `altk-evolve-core[phoenix]` (or `altk-evolve[phoenix]`) only to run the
local Phoenix server. Remote tracing uses the separate `arize-phoenix-otel` package.
Both packages use the same `altk_evolve` imports and `evolve` / `evolve-mcp` commands;
only core owns those files. Core-only filesystem storage works without an embedding
runtime. Features that embed text require `[fastembed]` or `[sentence-transformers]`.
**Embedding migration:** FastEmbed is now the default provider. To retain the
previous runtime, install `altk-evolve-core[sentence-transformers]` and set
`EVOLVE_EMBEDDING_PROVIDER=sentence_transformers`. Validate retrieval quality before
switching an existing vector store to another runtime; changing models requires
re-embedding stored vectors.
**Source development and releases:** The root project is core. Use
`uv sync --package altk-evolve` for the convenience bundle, or select root extras
explicitly. After changing the version or extras, run
`uv run --no-project python scripts/sync_convenience.py` and `uv lock`.
`uv build --all-packages` builds both distributions. Releases publish core first,
then the exactly matching convenience package through the same trusted publisher.
**Optional Backend Dependencies:**
The default filesystem backend uses simple text matching and requires no additional dependencies. For semantic vector similarity search, install one of these backends:
For PostgreSQL with pgvector support (recommended for production):bash uv sync --extra pgvector
For Milvus support (optimized for large-scale vector search):bash uv sync --extra milvus ```
See the Backend Configuration Guide for detailed comparison and setup instructions.
Evolve automatically tracks the origin of every guideline it generates or stores. Every guideline entity contains metadata identifying its source: - creation_mode: Identifies how the guideline was created (auto-phoenix via trace observability, auto-mcp via trajectory saving tools, or manual). - source_task_id: The ID of the original trace or task that inspired the guideline, providing full auditability.
See the Low-Code Tracing Guide for more details.
For direct OpenAI usage:
export OPENAI_API_KEY=sk-...
For LiteLLM proxy usage and model selection (including global fallback via EVOLVE_MODEL_NAME), see the configuration guide.
Hosts can mount the scoped REST router with their own client and authentication dependencies. Evolve owns retention schedules and worker execution, using Kubernetes-compatible cron, timezone, concurrency, deadline, and suspension fields. Use evolve retention schedules to manage schedules and start/stop to enable or suspend them. The Evolve service owns background execution.
The public retention service is available as client.retention(namespace_id, agent_id=...); CLI, REST, MCP, and scheduling share its operations and scope checks.
一个有趣的MCP项目,具有自我迭代改进能力
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。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
总体来看,进化智能代理 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 | altk-evolve |
| 原始描述 | 开源MCP工具:Self improving agents through iterations。⭐94 · Python |
| Topics | agent-learningai-agentspython |
| GitHub | https://github.com/AgentToolkit/altk-evolve |
| License | Apache-2.0 |
| 语言 | Python |
收录时间:2026-07-02 · 更新时间:2026-07-03 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端