ontomics
Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.
从代码库中提取领域知识,将LLM令牌消耗减少20倍,智能体搜索时间减少10倍——收集概念、命名约定和词汇,并使其可通过MCP查询。
How to install
git clone https://github.com/EtienneChollet/ontomics ~/.claude/skills/ontomics About
ontomics ontomics gives any coding agent **instant knowledge** of your codebase. One tool call instead of 19. ~20x fewer tokens. https://github.com/user-attachments/assets/01afa8a0-1bc2-4686-94d7-965fef7610c3 Visualization for the voxelmorph project -- a library for unsupervised learning in image registration Benchmark Tested with Claude Sonnet — same question, with and without ontomics. "What does 'transform' mean in this codebase?" on voxelmorph (full transcript): | | With ontomics | Without | |----------------|---------------|------------| | Tool calls | 1 | 19 | | Tokens | ~3.7k | ~76k | |…
Recommendation signals
Meta
- License
- MIT
- Language
- Rust
- GitHub stars
- 42
- mo. downloads
- –
- Last push
- 2026-04-17
- Created
- 2026-03-27
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令
- Sources
- curated:punkpeye/awesome-mcp-servers
- Topics
- agentic-coding, ai-coding, claude-code, codex, coding-agents, domain-knowledge, mcp, mcp-server, model-context-protocol, rust, semantic-search, tree-sitter
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