DecapodLabs/decapod
Decapod is the daemonless, local-first control plane agents call on demand to converge on human intent, shape context before inference, enforce boundaries, and deliver proof-backed completion across concurrent multi-agent work. 🦀
This project helps software development teams ensure that AI coding agents produce code aligned with human intent and project policies. It acts as a governance layer, taking developer intent and project rules as input, and producing verifiable artifacts that prove the agent's work meets specified criteria. The primary users are software developers who leverage AI agents for code generation and want to maintain control and quality.
176 stars and 1,362 monthly downloads.
Use this if you use AI coding agents and need a reliable way to ensure their generated code is accurate, adheres to project standards, and is provably complete.
Not ideal if you do not use AI agents for code generation or if your workflow does not require strict, verifiable governance over AI-produced code.
Stars
176
Forks
18
Language
Rust
License
MIT
Category
Last pushed
Mar 10, 2026
Monthly downloads
1,362
Commits (30d)
0
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