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ontomics
Supports UIby EtienneChollet
Extract domain knowledge and behavioral logic from codebases to reduce LLM token use by 20x and accelerate agentic search.
0 stars
Works in:CodexClaude
Exposes:ToolsResources
What it does
Builds a semantic index of a project's domain, clustering related symbols into concepts and detecting naming conventions. It allows AI agents to understand the 'vocabulary' of a codebase and find behaviorally similar logic, moving beyond simple keyword search to true domain awareness.
Tools
query_concept: Find variants and related occurrences of a domain term.locate_concept: Identify key signatures and files associated with a concept.describe_symbol: Get signatures, docstrings, and relationships for functions or classes.trace_concept: Track how a concept flows through the codebase via call chains.list_concepts: List top domain concepts by frequency.list_conventions: Identify detected naming patterns and prefixes.find_similar_logic: Find functions with behaviorally similar implementations using embeddings.describe_logic: Get behavioral descriptions and cluster membership for a function.compact_context: Assemble optimized tiered context for LLM consumption.ontology_diff: Compare domain concepts between git references.
Installation
Install via npm:
npm install -g @ontomics/ontomics
For Claude Desktop, add to config:
{
"mcpServers": {
"ontomics": {
"command": "ontomics"
}
}
}
Supported hosts
Claude Code, Codex, OpenClaw, pi-coding-agent, Claude Desktop
Quick install
npm install -g @ontomics/ontomicsInformation
- Pricing
- free
- Published
- 5/14/2026
- stars
- 0
Categories
Choose your AI client and follow the steps below.
Codex
mcp config entry for 'ontomics'openclaw
openclaw mcp set ontomics '{"command":"ontomics"}'Claude Desktop
JSON entry: { "mcpServers": { "ontomics": { "command": "ontomics" } } }





