Skip to main content

Loom MCP — AI 编程的肌肉记忆,从你自己的代码库检索-组装新项目

Project description

loom-mcp

AI 编程的肌肉记忆 —— 一个持续学习的代码组装 MCP server。

把你写过的代码自动收录为可复用组件,下次碰到类似需求,AI 直接从你自己的组件库里挑着用,越用越强。

安装

需要 uv。在 Claude Code / Cursor 等 MCP agent 里配:

// .mcp.json
{ "mcpServers": { "loom": { "command": "uvx", "args": ["loom-mcp"] } } }

或:claude mcp add loom -- uvx loom-mcp

首次运行自动在 ~/.loom/ 初始化个人组件库(内置种子候选)。

工具

  • loom_propose(idea_json) — 对想法返回每个能力 seam 的 2-3 个候选 + 架构取舍
  • loom_plan_from_choices(idea_json, choices_json) — 选择 → 装配计划
  • loom_get_files(plan_json) — 物化成完整 create-t3-app 项目文件
  • loom_ingest(paths, seam_hint?, description?) — 收录你写的代码进组件库

工作流

说想法 → propose 给候选梯度(agent 帮你挑,不确定才问)→ get_files 返回完整项目 → 写盘 + pnpm install + 填 .env + pnpm dev。写完新代码 loom_ingest 收录,越用越强。

全程本地、零网络、零 key(检索/物化不调 LLM)。信任飞轮:常用的候选浮顶,久不用的沉底。

详见 项目主页

许可

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

loom_memory_mcp-0.2.1.tar.gz (209.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

loom_memory_mcp-0.2.1-py3-none-any.whl (240.7 kB view details)

Uploaded Python 3

File details

Details for the file loom_memory_mcp-0.2.1.tar.gz.

File metadata

  • Download URL: loom_memory_mcp-0.2.1.tar.gz
  • Upload date:
  • Size: 209.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for loom_memory_mcp-0.2.1.tar.gz
Algorithm Hash digest
SHA256 e062364150b417f31865d5b52334590e7b7469fc3e5ef23ded165e5b41179907
MD5 eee61563f686151a8253c10c8cccae0e
BLAKE2b-256 50973e7cdb29dc9dc7bd2347e006b7c24a1fea78ae07e58e4abb7330864ba7d5

See more details on using hashes here.

File details

Details for the file loom_memory_mcp-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: loom_memory_mcp-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 240.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for loom_memory_mcp-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0c6e13494cf6d104f2f0e696ea6837a1e1396334898c59b40a1c73fb155ed852
MD5 241cc14aba156c0891ef26b12f977804
BLAKE2b-256 b30858bdb3e16245ea45cd4c044f1d9b47af14af96bff72f878957e52ea0fe68

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page