Hezo
Hezo is a platform for creating and managing hierarchical teams of AI agents that autonomously execute real work. Users can define roles such as CEO, captains, and specialist agents, then assign tasks that are automatically decomposed and delegated across the team. Agents coordinate in parallel, producing deliverables like code, documents, and reports while streaming progress in a real-time chat interface. The platform includes a Coach feature that learns from completed tasks to write durable prompt rules, improving agent performance over time. A task board shows all work in flight and history, and sensitive actions require human approval. Hezo integrates with external chat apps like Slack, Telegram, and Discord, and supports multiple AI model providers with per-agent spending caps. For data privacy, Hezo can be self-hosted as a single binary with an embedded Postgres database, giving users full ownership of their data.
- Category
- AI Workflow
- Pricing
- Free
Problem solved
Hezo automates complex, multi-step workflows by coordinating specialized AI agents within a structured team hierarchy. It eliminates the manual overhead of task delegation, monitoring, and quality improvement, enabling users to offload entire projects to an AI workforce that self-improves over time.
Use cases
- Automating software development tasks across planning, coding, and testing
- Managing social media marketing campaigns with brand-aware content generation
- Conducting investment research and generating living portfolio reports
- Building custom AI agent teams for any business or personal workflow
- Streamlining content production with human-in-the-loop approval
- Integrating AI agent collaboration into existing team chat tools
Audience
- Developers
- ML Engineers
- Data Scientists
- Business Users
- Startups
Pros
- Hierarchical agent teams enable complex task delegation and coordination
- Coach feature continuously improves agent prompts based on past results
- Real-time chat and task board provide transparent oversight of AI work
- Self-hosted option ensures full data privacy and ownership
- Supports multiple AI model providers with configurable spending limits
Cons
- Requires technical expertise to set up and maintain self-hosted instances
- AI model usage incurs external provider costs even though the platform is free
- Steep learning curve for non-technical users to design effective agent teams
- Limited documentation and community support as a relatively new project
- Heavy reliance on external AI services; offline or privacy-sensitive use may be limited
Official website: https://hezo.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/hezo