Better Agent
Better Agent is an open-source, local web-based workspace designed to run and supervise AI agent sessions natively using models like Claude, Codex, and Gemini. It enables users to create and manage multiple agents that can work on tasks in parallel, delegating subtasks across agents for efficient collaboration. The platform provides a persistent state layer, so all agent sessions, conversations, and intermediate outputs are saved and can be resumed after restarts or interruptions. A built-in approval system allows users to review and authorize agent actions before they are executed, adding a critical safety layer for autonomous workflows. The workspace also includes file system access, enabling agents to read, write, and modify project files directly, and features a web UI for real-time supervision and fine-grained control over each agent. The tool is tailored for local deployment, giving users full ownership of their data and execution environment, with no reliance on external cloud services.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
Better Agent solves the challenge of orchestrating and overseeing multiple AI agents in a local environment while maintaining state across sessions, enabling parallel task execution, and providing manual review checkpoints. Without such a framework, multi-agent setups often become brittle, lose context on restart, and lack user oversight, making them unsuitable for complex or long-running projects.
Use cases
- Running parallel AI coding assistants on different project modules
- Orchestrating multi-step research or content generation with approval gates
- Resuming interrupted agent tasks without losing progress or context
- Supervising autonomous file editing and project scaffolding agents
- Prototyping multi-agent collaboration patterns locally
- Managing persistent conversational AI sessions for iterative refinement
- Delegating sub-tasks to specialized agents (e.g., code generator vs. reviewer)
Audience
- Developers
- ML Engineers
- Researchers
- Hobbyists
Pros
- Open-source and fully self-hosted for data privacy
- Supports multiple AI backends (Claude, Codex, Gemini) natively
- Enables parallel agent delegation with a unified supervision UI
- Persistent sessions survive crashes and restarts
- Approval workflow prevents unwanted autonomous actions
Cons
- Requires manual local setup and management of API keys
- Limited to AI models with compatible APIs
- Early-stage project with potentially limited community support
- Parallel agent execution may consume significant local resources
- Lacks cloud-hosted option for instant onboarding
Official website: https://github.com/ofekron/better-agent
Canonical LambdaBase page: https://www.lambdabase.com/tools/better-agent