gzoonet/cortex
by Various
Local-first knowledge graph for developers. Watches your files, builds a knowledge graph with LLMs, lets you query across projects.
MCP
gzoonet/cortex
Added 1 June 2026
Overview
A local-first knowledge graph for developers. It watches your files and uses large language models to build a graph of code relationships. You can then query across projects to find connections, dependencies, and contextual information.
Best for
Best for
Developers exploring cross-project code relationships with a preference for local data control
Use cases
- Querying code relationships across multiple projects
- Discovering dependencies and references between files
- Exploring contextual connections without manual tagging
How to use
Install
npm install -g @gzoo/cortex Tools exposed
cloud-firstlocal-firstlocal-onlycortex_askget_statuslist_projectsfind_entityquery_cortexget_contradictionsresolve_contradictionsearch_entitiesingest_fileadd_projectremove_projectsession_brief
Tested with
Claude Code, ChatGPT
Notes
A local-first knowledge graph for developers. It watches your files and uses large language models to build a graph of code relationships. You can then query across projects to find connections, dependencies, and contextual information.
15 stars on GitHub. Last updated 2026-05-25. Licensed MIT.
Use cases
- Querying code relationships across multiple projects
- Discovering dependencies and references between files
- Exploring contextual connections without manual tagging
Pros
- Local-first design keeps your code data on your machine
- Automatically watches file changes to keep the graph updated
- Cross-project queries enable holistic code understanding
Cons
- Very early stage with only 15 GitHub stars, limited community and stability
- Requires an LLM setup (local or API) which can be resource-intensive or costly
- Knowledge graph quality depends on LLM performance and may be inconsistent
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Local-first design keeps your code data on your machine
- Automatically watches file changes to keep the graph updated
- Cross-project queries enable holistic code understanding
Cons
- Very early stage with only 15 GitHub stars, limited community and stability
- Requires an LLM setup (local or API) which can be resource-intensive or costly
- Knowledge graph quality depends on LLM performance and may be inconsistent
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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