MetaGO Agent Harness 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。
What it is
@metago-ai/algorithms is the algorithmic backbone of the MetaGO Agent Harness. 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/engine@2.1.0 (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
| Layer | Name | Tools | Algorithms | Trigger Categories |
|---|
| L1 | 通用入口层 (General Entry) | 3 | 9 | 3 |
| L2 | 检索发现层 (Retrieval & Discovery) | 4 | 18 | 4 |
| L3 | 高频专用层 (High-Frequency Specialized) | 30 | 540 | 4 |
| L4 | 族级工具层 (Family Tools) | 20 | 360 | 3 |
| Total | — | 57 | 927 | 14 |
The 14 trigger categories
| # | Category | Layer | Trigger condition |
|---|
| 1 | Algorithm execution | L1 | Agent needs to execute an algorithm |
| 2 | Algorithm retrieval | L1 | Agent needs to find an algorithm by name/family/capability |
| 3 | Statistics | L1 | Agent needs server statistics |
| 4 | Family listing | L2 | Agent needs to list algorithm families |
| 5 | Algorithm search | L2 | Agent needs semantic search over algorithms |
| 6 | Info lookup | L2 | Agent needs detailed info on a specific algorithm |
| 7 | Proactive suggestion | L2 | Agent needs algorithm recommendations for a task |
| 8 | Coupling calculation | L3 | Task involves relationship strength / coupling degree |
| 9 | Value assessment | L3 | Task involves multi-dimensional value scoring |
| 10 | Distance metrics | L3 | Task involves similarity / distance between vectors |
| 11 | Correlation analysis | L3 | Task involves statistical correlation |
| 12 | Dimensionality reduction | L3 | Task involves PCA / SVD / feature reduction |
| 13 | Security audit | L3 | Task involves vulnerability / security assessment |
| 14 | Frequency processing | L3 | Task involves frequency-domain analysis |
Install
npm install @metago-ai/algorithms
Use as MCP server
Trae / Claude Code / Cursor / any MCP client
Add to your MCP client config:
{
"mcpServers": {
"metago-algorithms": {
"command": "node",
"args": ["node_modules/@metago-ai/algorithms/index.js"]
}
}
}
Standalone
npx @metago-ai/algorithms
node node_modules/@metago-ai/algorithms/index.js
L1 — General Entry (3 tools)
execute — Execute any algorithm by name with parametersexecute_sync — Synchronous algorithm executionget_statistics — Server statistics (tool count, algorithm count, layer distribution)
list_algorithms — List all 927 algorithms with metadatalist_families — List 14 algorithm familiessearch_algorithms — Semantic search over algorithm descriptionsget_algorithm_info — Detailed info on a specific algorithm
coupling_calculate · coupling_clustering · coupling_trend · normalize_couplingbuild_coupling_matrix · sort_coupling_scores · is_superconductive · cooccurrence_frequency
value_assess · build_value_vector · evaluate_bidirectional
euclidean_distance · manhattan_distance · chebyshev_distancecosine_similarity · dice_coefficient · jaccard_coefficient
pearson_correlation · spearman_correlation · kendall_tau · covariance
extract_pca · simplified_svd · reduce_dimension
security_assess · audit_check · bias_detect
frequency_process · time_analyze · time_decay_cooccurrence
fuzzy_string_match · semantic_similarity · weighted_cosine
reasoning_chain · logic_reason · conflict_resolve
detect_asymmetry · record_symmetric · identify_strong_pairs · identify_weak_pairs
memory_operate · learning_learn · creation_create · evolution_evolvedecision_decide · dialog_manage · idea_generate · proactive_suggest
Engine dependency
This package is hard-driven by @metago-ai/engine@2.1.0:
- 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
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