MetaGO Algorithms

io.github.metago-ai由 GitHub 账号 metago-ai 发布v1.0.2更新于 Nov 3, 2026

927 deterministic algorithms as 57 MCP tools: coupling, value, distance, correlation, reduction.

概览

AI 生成的概览

本地 MCP 服务器,提供 57 个工具、背后是 927 个确定性算法,覆盖耦合度、价值评分、距离、相关性与降维。

可以做什么
  • 按名称和参数执行任意算法或同步执行,并读取服务器统计信息
  • 列出、搜索、查看算法及其族,并获取针对任务的算法推荐
  • 计算耦合分数、耦合矩阵、聚类、趋势与共现频率
  • 进行多维价值评分并构建价值向量
  • 计算距离与相似度(欧氏、曼哈顿、切比雪夫、余弦、Dice、Jaccard)以及相关性(Pearson、Spearman、Kendall、协方差)
  • 用 PCA 和 SVD 降维,执行安全与偏差检查,并处理频域与时间数据
适用场景
适合需要可复现数值分析而非自由推理的场景:向量间的相似度与距离、相关性统计、特征降维、耦合或价值评分,以及快速查找适合某任务的算法。
运行要求
以 stdio 本地进程运行;需安装 npm 包 @metago-ai/algorithms,并用 node 或 npx 启动。未声明认证、环境变量或请求头。README 称其依赖 @metago-ai/[email protected]。
安装前请注意
README 称所有工具由外部引擎驱动,包含记忆、进化与决策校验组件,并能生成新算法和技能文件;使用前应了解该引擎在本地存储或写入什么。部分工具名为记忆、学习、进化与决策操作,需确认是否会持久化状态。未要求任何凭据。

安装

在 SourceWeft 中

  1. 打开 控制台中的 MetaGO Algorithms,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

@metago-ai/algorithms — 927 算法 MCP 服务器

MetaGO Intelligent Lifeform 的算法核心 — 57 工具 / 927 算法 / 14 触发大类 / 4 层架构,Engine V2.1.0 硬驱动。

[npm] [License: MIT] [Tools] [Algorithms] [Engine]


What it is

@metago-ai/algorithms is the algorithmic backbone of the MetaGO Intelligent Lifeform. It exposes 57 MCP tools backed by 927 algorithms across 14 trigger categories, organized in a 4-layer architecture. Every tool is hard-driven by @metago-ai/[email protected] (KMWI memory + evolution engine + skill generator).

This is not a library of math functions. It is a Model Context Protocol (MCP) server that gives any MCP-compatible AI agent (Trae, Claude Code, Codex, Cursor, etc.) real-time access to coupling calculation, value assessment, distance metrics, correlation analysis, dimensionality reduction, security audit, frequency processing, and 7 more trigger categories.

Architecture — 4 layers / 14 trigger categories

LayerNameToolsAlgorithmsTrigger Categories
L1通用入口层 (General Entry)393
L2检索发现层 (Retrieval & Discovery)4184
L3高频专用层 (High-Frequency Specialized)305404
L4族级工具层 (Family Tools)203603
Total—5792714

The 14 trigger categories

#CategoryLayerTrigger condition
1Algorithm executionL1Agent needs to execute an algorithm
2Algorithm retrievalL1Agent needs to find an algorithm by name/family/capability
3StatisticsL1Agent needs server statistics
4Family listingL2Agent needs to list algorithm families
5Algorithm searchL2Agent needs semantic search over algorithms
6Info lookupL2Agent needs detailed info on a specific algorithm
7Proactive suggestionL2Agent needs algorithm recommendations for a task
8Coupling calculationL3Task involves relationship strength / coupling degree
9Value assessmentL3Task involves multi-dimensional value scoring
10Distance metricsL3Task involves similarity / distance between vectors
11Correlation analysisL3Task involves statistical correlation
12Dimensionality reductionL3Task involves PCA / SVD / feature reduction
13Security auditL3Task involves vulnerability / security assessment
14Frequency processingL3Task involves frequency-domain analysis

Install

bash
npm install @metago-ai/algorithms

Use as MCP server

Trae / Claude Code / Cursor / any MCP client

Add to your MCP client config:

json
{  "mcpServers": {    "metago-algorithms": {      "command": "node",      "args": ["node_modules/@metago-ai/algorithms/index.js"]    }  }}

Standalone

bash
npx @metago-ai/algorithms# ornode node_modules/@metago-ai/algorithms/index.js

Tool list (57 tools)

L1 — General Entry (3 tools)

  • execute — Execute any algorithm by name with parameters
  • execute_sync — Synchronous algorithm execution
  • get_statistics — Server statistics (tool count, algorithm count, layer distribution)

L2 — Retrieval & Discovery (4 tools)

  • list_algorithms — List all 927 algorithms with metadata
  • list_families — List 14 algorithm families
  • search_algorithms — Semantic search over algorithm descriptions
  • get_algorithm_info — Detailed info on a specific algorithm

L3 — High-Frequency Specialized (30 tools)

Coupling (8 tools)
  • coupling_calculate · coupling_clustering · coupling_trend · normalize_coupling
  • build_coupling_matrix · sort_coupling_scores · is_superconductive · cooccurrence_frequency
Value Assessment (3 tools)
  • value_assess · build_value_vector · evaluate_bidirectional
Distance Metrics (6 tools)
  • euclidean_distance · manhattan_distance · chebyshev_distance
  • cosine_similarity · dice_coefficient · jaccard_coefficient
Correlation (4 tools)
  • pearson_correlation · spearman_correlation · kendall_tau · covariance
Dimensionality Reduction (3 tools)
  • extract_pca · simplified_svd · reduce_dimension
Security & Audit (3 tools)
  • security_assess · audit_check · bias_detect
Frequency & Time (3 tools)
  • frequency_process · time_analyze · time_decay_cooccurrence

L4 — Family Tools (20 tools)

Fuzzy & Semantic (3 tools)
  • fuzzy_string_match · semantic_similarity · weighted_cosine
Reasoning (3 tools)
  • reasoning_chain · logic_reason · conflict_resolve
Asymmetry & Symmetry (3 tools)
  • detect_asymmetry · record_symmetric · identify_strong_pairs · identify_weak_pairs
Negentropy (1 tool)
  • negentropy_measure
Intuition (1 tool)
  • intuition_gauge
Lifeform Operations (8 tools)
  • memory_operate · learning_learn · creation_create · evolution_evolve
  • decision_decide · dialog_manage · idea_generate · proactive_suggest

Engine dependency

This package is hard-driven by @metago-ai/[email protected]:

  • KMWI Memory — 4-layer memory (Knowledge → Memory → Wisdom → Intuition) backs algorithm state
  • EvolutionEngine — 5-stage meta-evolution can generate new algorithms on demand
  • DecisionLock — 4-gate verification before every algorithm output
  • SkillGenerator — generates new algorithm SKILL.md files from internal patterns

License

MIT © 2026 易霄 / 元构光年(成都)人工智能科技有限公司

Links

来源:packages/algorithms/README.md,提交 de8479e

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.0.2最新Sep 27, 2026

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