MetaGO Algorithms

io.github.metago-ai由 GitHub 帳號 metago-ai 發布v1.0.2更新於 Nov 3, 2026

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

概覽

AI 產生的概覽

本機 MCP 伺服器,提供 57 個工具、背後是 927 個確定性演算法,涵蓋耦合度、價值評分、距離、相關性與降維。

可以做什麼
  • 依名稱與參數執行任意演算法或同步執行,並讀取伺服器統計資訊
  • 列出、搜尋、檢視演算法及其族,並取得針對任務的演算法建議
  • 計算耦合分數、耦合矩陣、分群、趨勢與共現頻率
  • 進行多維價值評分並建立價值向量
  • 計算距離與相似度(歐氏、曼哈頓、切比雪夫、餘弦、Dice、Jaccard)以及相關性(Pearson、Spearman、Kendall、共變異數)
  • 以 PCA 與 SVD 降維,執行安全與偏差檢查,並處理頻域與時間資料
適用情境
適合需要可重現數值分析而非自由推理的情境:向量間的相似度與距離、相關性統計、特徵降維、耦合或價值評分,以及快速找出適合某任務的演算法。
執行需求
以 stdio 本機程序執行;需安裝 npm 套件 @metago-ai/algorithms,並以 node 或 npx 啟動。未宣告驗證、環境變數或請求標頭。README 稱其依賴 @metago-ai/[email protected]。
安裝前請注意
README 稱所有工具由外部引擎驅動,包含記憶、演化與決策檢核元件,並能產生新演算法與技能檔案;使用前應了解該引擎在本機儲存或寫入什麼。部分工具名為記憶、學習、演化與決策操作,需確認是否會保存狀態。未要求任何憑證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 MetaGO Algorithms,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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

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

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v1.0.2最新Sep 27, 2026

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