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pinoox/neuromesh

The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants

⭐ 72 stars
⑂ 4 forks
Rust
momentum ▲ 128.0
created 2026-08-22
on radar since 2026-08-28
antigravityclaude-codecodecode-analysiscode-intelligencecodexcontext-managementcursordeveloper-toolsgemini-cligraph-algorithmsgraph-visualizationkilo-codeknowledge-graphmcpmcp-servermodel-compressionmodel-context-protocolslimemoldwindsurf
View on GitHub ↗Homepage ↗

About neuromesh

How does nature pack two metres of DNA into a nucleus without deleting a single letter? Not by throwing genes away — by folding.

NeuroMesh does the same thing to your repository: a neural graph in RAM, reversible one-line folds, and an evidence packet instead of three thousand-line files dumped into Cursor or Claude.

Local-first MCP · Cursor · Codex · OpenCode · MiMo CLI · Antigravity · VS Code · Claude · Kilo · Trae · Windsurf · Zed

The pain · The idea · Galaxy · Install · Connect · Docs · Site

You ask a simple question in a large project. The editor copies two or three thousand-line files and ships them to the model.

1. Tokens you never needed — dollar cost on every turn 2. Seconds of fake loading while the window fills with helpers you will not touch 3. Lost in the middle — the model drowns in unrelated bodies and invents bugs

Today’s workarounds all leak in a different place:

Approach What goes wrong :--- :--- Vector RAG Chunks smash functions. The shape of the code disappears. “Just attach the files” The model sees everything and understands nothing. A static code graph Better map — then it still pastes full files into the prompt.

NeuroMesh is the missing step: route first, then fold. The graph is for finding the path. The packet is what the model actually reads.

Nature does not delete DNA to fit a nucleus. It supercoils.

NeuroMesh treats the syntax tree like a genetic strand in RAM:

From the project README.

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