agent-teams-ai
by 777genius · TypeScript · AGPL-3.0
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/Open
Overview
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode(200+ models, 75+ LLM providers, free models no auth). Build your AI company with multiple teams.
agent-teams-ai is a credible open-source option worth evaluating, maintained by 777genius with 1,419 GitHub stars. It targets the Framework layer of the agent stack — where reusable skills, MCP servers, and tool integrations accelerate production workflows.
Tagged with agent-teams, agent-to-agent, ai, ai-agents, ai-assistant, ai-tools, and more, this skill fits naturally into modern agent architectures that combine LLMs, tools, and memory.
Key Features
- Composable chains, graphs, and agent loops
- Built-in tool registry and memory modules
- Observability with tracing and evaluation
- Multi-model support and provider abstraction
- Deployment templates for APIs and background workers
- Large community and frequent releases
Use Cases
- Greenfield agent apps with standardized architecture
- Migrating scripts into maintainable agent graphs
- A/B testing prompts and tools with observability
- Enterprise deployments with audit requirements
Integration
Primary integration surface: Agent frameworks (LangChain, LangGraph, CrewAI, custom loops).
Implementation language: TypeScript — check the repo for package install instructions.
Official homepage: https://agentteams.live
Most skills support environment variables for API keys and configurable endpoints.
For MCP servers, add the server config to your client JSON and restart the host application.
Who It's For
Developers building framework-heavy agent features who want open-source building blocks.
Teams standardizing on MCP or shared tool libraries across multiple agent products.
Indie hackers and startups optimizing time-to-ship for agent MVPs.
Technical evaluators comparing alternatives before committing to a stack.
Getting Started
- Clone or install from https://github.com/777genius/agent-teams-ai.
- Read the README for prerequisites (Node, Python, Docker, API keys).
- Import the package into your agent framework and register tools.
- Run the provided example or quickstart script to verify connectivity.
- Iterate on prompts and tool schemas using the project's test utilities.
- Pin versions in production and monitor upstream releases for breaking changes.
Community & Trust Signals
1,419 GitHub stars indicate growing community interest.
License: AGPL-3.0. Verify compatibility with your product's distribution model.
Last repository activity: June 2026.
Review open issues and PR velocity to gauge maintainer responsiveness.
Star and watch the repo to track releases and security advisories.
Topics
Strengths
- Strong fit for framework workflows in agent applications
- 1,419+ stars — proven adoption
- AGPL-3.0 licensed
- Well-categorized (agent-teams, agent-to-agent, ai)
Considerations
- Verify API costs and rate limits when connecting to paid LLM providers
- Test in a sandbox before granting production credentials or network access
- Upstream breaking changes may require periodic upgrades
- Align data handling with your privacy and compliance requirements