Features
Autonomous agent creation with planning, reasoning, and execution
Modular components: Admin, Workers, Planner, LLM, Action, Memory, VectorStore
Integration with various LLMs (e.g., GPT-4) for agent intelligence
Memory management for retaining context across interactions
Tool/action integration for external system interaction
Use-case templates: Movie Recommender, JobSearch, Blog Writing, News Agent, Itinerary Planner
Open-source framework with extensibility for custom agents
Support for multi-agent coordination via Admin and Workers
Built-in vector store for efficient data retrieval
Flexible agent architecture: sequential, parallel, dynamic communication patterns
Automated and manual agent configuration generation
Streamlined integration to avoid infinite loops
Documentation with getting started guide and quickstart
Autonomous vulnerability scanning and PR generation
PR review for quality, security, and best practices
Legacy COBOL to Java migration with testing
Incident triage and root cause analysis
Agent Canvas: manage multiple agents in one workspace
Cloud agents run even when your machine is off
Schedule recurring tasks via cron or event triggers
Trigger workflows from GitHub, Slack, PagerDuty
Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
Isolated sandbox execution on VM or cloud
Fine-grained access control and budget guardrails
Audit trails for enterprise compliance
Self-hosted deployment in your VPC
Open-source SDK for custom agent development
In-chat model switching with saved LLM profiles
