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capa
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capa

Active·★ 725·MIT·Updated 2026-10-20
★ Trending

CAPA is a package manager designed for AI coding agents, allowing developers to declare skills, tools, and rules in a single `capabilities.yaml` file. It then automatically deploys these configurations to over 35 different AI agent platforms, ensuring consistent and optimized setups.

capa sits in the Dev Tooling category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Centralized `capabilities.yaml` for managing agent content across 35+ AI agents.. A representative use case is Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms.. The listed license is MIT. GitHub stars are currently 725. Relevant tags include AI Agent Management, Configuration Management.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#AI Agent Management#Configuration Management#Development Tool#Package Manager#CLI Tool#Agent Orchestration#Developer Productivity
$ Install
$ curl -LsSf https://capa.infragate.ai/install.sh | sh
↗ Visit site★ GitHub
01

Features

01Centralized `capabilities.yaml` for managing agent content across 35+ AI agents.
02Automated deployment of rules, hooks, and tools into the native formats required by various agents.
03Optimized inference leading to 19-40% cheaper costs, achieved through lazy-loading and per-agent MCP servers.
04Granular tool access for sub-agents with filtered MCP endpoints, ensuring they only see necessary tools.
05Version-controlled configurations via `capabilities.lock`, ensuring reproducible setups across development environments.
02

Why choose it

+Centralized `capabilities.yaml` for managing agent content across 35+ AI agents.
+Automated deployment of rules, hooks, and tools into the native formats required by various agents.
+Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms.
+Supports 9 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

macOS
Platform
Verified via docs
Linux
Platform
Verified via docs
Windows
Platform
Verified via docs
Cursor
AI Agent
Verified via docs
Claude Code
AI Agent
Verified via docs
Codex
AI Agent
Verified via docs
05

Quick start

1
$ curl -LsSf https://capa.infragate.ai/install.sh | sh
06

Use cases

↳Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms.
↳Initializing new projects with a predefined set of agent capabilities and configurations.
↳Bootstrapping existing projects to bring their current capabilities under CAPA's centralized management.
↳Directly executing defined tools, sub-agents, and subcommands via a unified `capa sh` CLI interface.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
infragate /
capa
↗

One capabilities.yaml wires skills, tools, rules, sub-agents, MCP servers, and plugins into Cursor, Claude Code, Codex, Windsurf, GitHub Copilot, and 30+ other AI coding agents

725MIT
Last commit3d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
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