Corbell
Active·★ 212·Apache-2.0·Updated 2026-05-23
★ Trending★ RAG / Knowledge Base★ Dev Tooling
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
Corbell creates a living knowledge graph of your multi-repo architecture by analyzing code and design docs. It generates AI-powered design specs that respect your team's established patterns, and facilitates task decomposition and export to project management tools.
#code-analysis#code-embedding#code-intelligence-mcp#knowledge-graph#mcp-server#mcp-servers#python#static-analysis-plugin
01
Features
01Architecture knowledge graph from code and docs
02AI-powered design spec generation
03Architecture constraint enforcement
04Task decomposition and export to Linear/Jira
05MCP (Model Context Protocol) integration
02
Compatibility
Python
Python
Verified via docs
JavaScript
JavaScript
Verified via docs
TypeScript
TypeScript
Verified via docs
Go
Go
Verified via docs
Java
Java
Verified via docs
03
Quick start
1
$ pip install corbell
04
Use cases
↳Generate design documents for new features
↳Review architecture decisions against constraints
↳Export tasks to project management tools like Linear or Jira
05
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Comments
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- RRowan DavisApr 9, 2026
Multi-repo code graph intelligence for spec generation and review is a strong capability.
- SShawn MartinezMar 26, 2026
AI-powered specs that understand cross-repo dependencies are more accurate.
- CCasey BrownMar 20, 2026
Good for teams working on complex systems where specs need to reflect actual code relationships.
- QQuinn GarciaFeb 28, 2026
Code graph analysis catches inconsistencies that manual spec writing misses.