saigontechnology/AgentCrew
View on GitHub ↗Chat application with multi-agents system supports multi-models and MCP
215 ★41 forksPythonUpdated 20d ago
What you need to know
Build a crew of focused AI specialists that code, research, architect, review and automate — used from a desktop app, terminal, one-shot jobs, A2A server or HTTP API, with an @AgentName handoff syntax and per-agent tools.
Install
curl -LsSf https://agentcrew.dev/install.sh | bash # macOS/Linux powershell -ExecutionPolicy ByPass -c "irm https://agentcrew.dev/install.ps1 | iex" # Windows pip install agentcrew-ai # any platform
Usage
- •agentcrew chat # desktop GUI
- •agentcrew chat --console # terminal mode
- •agentcrew job --agent 'CodeAssistant' 'Review for security issues' ./src/**/*.py # CI/batch
- •@Architect / @Coding / @Reviewer hand off subtasks between agents in one conversation
Key features
- ✓Multi-agent orchestration with the @AgentName handoff syntax and full context carry-over
- ✓11+ provider options including subscription-based (OpenCode Go, GitHub Copilot, ChatGPT Codex) and fully offline custom models (Ollama)
- ✓Per-agent tool enablement: code analysis, file editing, web search, browser automation, command execution, memory and MCP tools
- ✓Speaks Console/GUI, A2A (HTTP+JSON-RPC) and ACP (WebSocket) protocols; multi-instance agent networks
Best for
Teams that want a multi-specialist agent crew for feature development, research and automation from a single interface.
Platforms: macOS · Linux · WindowsClients: Desktop GUI · Terminal · HTTP API
Reviewed 2026-08-11
Topics
ai-agentsai-assistantanthropic-claudemcp-clientmodel-context-protocolmulti-agent-systemsterminal-apptool-use
- Stars
- 215★
- Forks
- 41
- Language
- Python
- License
- Apache-2.0
- Created
- 2025-02-26
- Last push
- 2026-08-15