neuromesh
Active·★ 93·MIT·Updated 2026-09-26
NeuroMesh is a local-first context engine that intelligently processes codebases into a graph, routing AI prompts to relevant symbols. It addresses the 'lost in the middle' problem by sending a compact 'folded evidence packet' instead of large file dumps, significantly improving LLM efficiency and accuracy.
#LLM Context Management#Code Graph#Prompt Engineering#IDE Integration#Code Folding#Developer Tools#AI Efficiency#Context Engine
01
Features
01Codebase Graph Indexing
02Intelligent Prompt Routing to Relevant Symbols
03Reversible Code Folding for Context Efficiency
04Feedback-driven Context Optimization
05Multi-language Support
02
Compatibility
Rust
Core Language
Verified via docs
Python
Language
Verified via docs
TypeScript
Language
Verified via docs
Go
Language
Verified via docs
Java
Language
Verified via docs
C#
Language
Verified via docs
03
Quick start
1
$ curl -fsSL https://raw.githubusercontent.com/pinoox/neuromesh/main/install.sh | bash
2
$ neuromesh doctor
3
$ neuromesh connect
4
$ neuromesh index
04
Use cases
↳Optimizing LLM token usage for code-related queries.
↳Enhancing AI model accuracy and relevance within large codebases.
↳Providing precise, folded context for IDEs and LLM agents.
↳Dynamically expanding code context on demand.
↳Improving multi-agent system efficiency by shipping less, relevant context.
05
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