by ory · MCP Server · ★ 194
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Claude reads entire files to find what it needs. Lumen gives it a map. Lumen is a 100% local semantic code search engine for AI coding agents. No API keys, no cloud, no external database, just open-source embedding models (Ollama or LM Studio), SQLite, and your CPU. A single static binary and your own local embedding server. The payoff is measurable and reproducible: across 9 benchmark runs on 9 languages and real GitHub bug-fix tasks, Lumen cuts cost in every single language — up to 39%. Output tokens drop by up to 66%, sessions complete up to 53% faster, and patch quality is maintained in every task. All verified with a transparent, open-source benchmark framework that you can run yourself.
| Stars | 194 |
| Forks | 20 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 65.976774771677/100 |
| Open Issues | 11 |
| Last Updated | 2026-05-20 |
| Created | 2026-02-27 |
| Platforms | claude-code, codex, gemini, go, mcp |
| Est. Tokens | ~1661k |
These tools work well together with lumen for enhanced workflows:
Looking for a lumen alternative? If you're comparing lumen with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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lumen is Reduce Claude Code, Codex, OpenCode wall clock and token use by 50% with open source, local semantic search. Works for small and large codebases and monorepos! Enterprise-ready and fully compliant via. It is categorized as a MCP Server with 194 GitHub stars.
lumen is primarily written in Go. It covers topics such as agentic-coding, claude, claude-ai.
You can find installation instructions and usage details in the lumen GitHub repository at github.com/ory/lumen. The project has 194 stars and 20 forks, indicating an active community.
The top alternatives to lumen on Agent Skills Hub include Overture, ask-user-questions-mcp, claude-delegator. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.