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ai-agents

Active·★ 49·MIT·Updated 2026-10-22

AI Agents is a coordinated multi-agent framework designed for AI-powered software development workflows, providing 21 specialized agents that handle the entire development lifecycle from research to QA. It integrates with popular AI coding tools like Claude Code and GitHub Copilot CLI, enabling structured, multi-step AI workflows with clear accountability and audit trails.

#AI Agents#Multi-Agent System#Software Development#Orchestration#DevOps#CI/CD
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Guides
#Developer Tools
$ Install
$ /install-plugin rjmurillo/ai-agents
↗ Visit site★ GitHub
01

Features

0121 specialized agents for the full software development lifecycle.
02Explicit agent handoff protocols ensuring clear accountability.
03Cross-session memory for knowledge retention and context persistence.
04Automated quality gates for pre-PR validation and CI checks.
05Over 50 reusable skills for common development workflows (e.g., git, PR management, testing).
02

Compatibility

Claude Code CLI
Platform
Verified via docs
GitHub Copilot CLI
Platform
Verified via docs
VS Code
IDE Integration
Verified via docs
Python
Runtime
Verified via docs
03

Quick start

1
$ /install-plugin rjmurillo/ai-agents
04

Use cases

↳End-to-end feature development: Orchestrate research, planning, implementation, QA, and security review for new features.
↳Automated code quality review: Utilize a critic agent to review code for coupling, error handling, and test coverage.
↳Bug investigation and fix: Analyst identifies root cause, architect proposes design, implementer builds fix, followed by QA and security validation.
↳Strategic prioritization: Evaluate candidate features based on effort, risk, compliance, operational burden, and business value.
↳Automated test generation: QA agent writes tests for existing code with specific coverage targets.
05

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rjmurillo /
ai-agents
↗

Multi-agent system for software development

49MIT
Last commit1d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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