Features
Autonomous mission dispatch with milestones and parallel workers
Pulse supervision for scheduled checks and automated PR merging
Domain-specific agents for code, ops, marketing, legal, etc.
Token-efficient context compression with .agents folder
Worktree-based parallel development with isolated branches
Cross-model review for high-risk operations
Built-in secret handling and supply-chain security scans
Budget tracking and token cost optimization
Imported skills and session learnings
Integration with 30+ third-party services
Slash commands and MCP tooling
Observability signals for stuck workers and CI failures
Support for OpenAI GPT-5.5, GPT-5.4 mini, Anthropic, Google, local models
OpenCode integration with model-account pools
TOON-ready context for 20-60% token reduction
Role-based agent assignment (PM, architect, engineer, QA)
Structured output generation (requirements, design, code)
Data Interpreter for data analysis tasks
SELA module for self-evolving agents
Multi-agent collaboration and workflow orchestration
Meta-programming support for custom agent behaviors
Modular and extensible architecture
Built-in demo projects and case studies
MIT License fully open-source
Flow orchestration for complex agent pipelines
Integration with GitHub Actions and CI/CD
Community-driven with GitHub and Discord
