The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
AgentCrew
Chat application with multi-agents system supports multi-models and MCP
Install
pip install agentcrew-aiInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →AgentCrew
Your team of AI specialists for coding, research, and automation. Build a crew of focused agents that code, research, architect, review, and automate. Use them from a desktop app, terminal, HTTP API, or CI pipeline.
Why AgentCrew?
AgentCrew lets you build a team of specialists, each with the right tools and personality for the job.
- An Architect that weighs trade-offs before a line of code is written.
- A Coder that implements cleanly — no scope creep, no over-engineering.
- A Reviewer that catches what others miss.
- A Researcher that cross-references multiple sources before drawing conclusions.
- A Browser Operator that navigates web apps, fills forms, and clicks through workflows.
Agents hand off work to each other when a task needs a different specialty. You stay in control, orchestrating the team from one interface.
When AgentCrew fits: You have a complex task that benefits from multiple perspectives — building a feature from design to deployment, researching and writing a report, or automating a multi-step workflow.
When a single assistant is enough: You need one focused conversation with no tool access or multi-agent orchestration.
Quick Start
1. Install (10 seconds)
macOS / Linux
curl -LsSf https://agentcrew.dev/install.sh | bash
Windows
powershell -ExecutionPolicy ByPass -c "irm https://agentcrew.dev/install.ps1 | iex"
pip (any platform)
pip install agentcrew-ai
2. Add an API key — or skip this step entirely
Most tools need a paid API key. AgentCrew supports several options that don't require one:
Subscription-based (no API key needed):
# OpenCode Go — curated open-source models (GLM, Kimi, MiMo, Qwen)
agentcrew chat --provider opencode_go
# ChatGPT Plus / Pro (uses Codex models)
agentcrew chatgpt-auth
agentcrew chat --provider openai_codex
# GitHub Copilot subscribers
agentcrew copilot-auth
agentcrew chat --provider github_copilot
Pay-as-you-go API keys:
export DEEPINFRA_API_KEY="your-key" # DeepInfra — open models (LLaMA, Qwen, etc.)
export OPENAI_API_KEY="sk-proj-..." # OpenAI GPT-4o
export GEMINI_API_KEY="AIza..." # Google Gemini — free tier available
Or store keys in ~/.AgentCrew/config.json:
{
"api_keys": {
"OPENAI_API_KEY": "sk-proj-..."
}
}
Custom providers:
Custom providers such as Ollama, llama.cpp, and LM Studio are configured in
the same ~/.AgentCrew/config.json file.
See Custom LLM Providers for the full
schema, llama.cpp configuration, model capabilities, and sampling options.
All supported providers:
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