AI Infrastructure · GitHub ·197 ★

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. 🦀

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Details

Author
DecapodLabs
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
rust
Stars
197
First indexed
2026-05-15
Last active
2026-03-10
Directory sync
2026-05-15
@DecapodLabs

Overview

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. 🦀

Quick start

git

git clone https://github.com/DecapodLabs/decapod

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What decapod can do

inference
  • Inference — inference task automation.

Frequently asked questions

What is 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. 🦀
How do I install decapod?
Use git: `git clone https://github.com/DecapodLabs/decapod`. Full setup details on the source page linked above.
Is decapod open source?
decapod is published on GitHub.
What are alternatives to decapod?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for decapod is sourced from GitHub, published by DecapodLabs.

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