Intentic.dev
Intentic.dev is a workspace for coding agents, designed to let users delegate tasks to multiple AI agents and review their work before approving changes. It provides a visual board where agents run in parallel on separate branches, with lanes for attention, active, and finished tasks. The tool emphasizes human oversight: every change is presented as a diff with a 'Land now' button, ensuring users approve all modifications before they are merged. It is free to use and can run on hardware the user owns, so agents keep running even when the browser is closed. The platform offers a range of capabilities including running multiple agents concurrently, connecting to outside systems such as code repositories and issue trackers, automating agent runs on schedules or events, and hosting on one's own infrastructure. It includes an API and OpenAPI document for programmatic control, supporting integration with existing developer workflows. The project is open source and has a gallery of extensions, allowing developers to build, ship, and offer paid services within the platform. Intentic is built for teams and individuals who want to leverage AI coding agents without losing control. By giving every agent its own branch, it prevents collisions and enables parallel work. The review-first approach means that no code lands without explicit approval, making it suitable for production environments where safety and accountability are critical.
- Category
- AI Agents
- Pricing
- Free
Problem solved
Intentic solves the problem of managing multiple AI coding agents safely and efficiently. It provides a centralized workspace where agents work on isolated branches, report status on a board, and require human approval before any code change is landed. This reduces the risk of conflicts and gives developers a clear overview of agent activities.
Use cases
- Running multiple coding agents in parallel on the same repository
- Reviewing and approving AI-generated code changes
- Automating coding tasks based on schedules or external events
- Connecting agents to issue trackers and code hosting platforms
- Building custom extensions or services for agent workflows
- Managing agent infrastructure on self-hosted hardware
Audience
- Developers
- ML Engineers
- Data Scientists
- Startups
- Enterprise
Pros
- Free to use
- Parallel agent execution with isolated branches
- Human approval required before landing changes
- Can be self-hosted on user's hardware
- API and extension ecosystem
Cons
- Requires integration with models and accounts
- No clear onboarding for non-developers
- Limited to coding-focused agents
- Potential complexity in configuring many agents
- Open source project may have changing APIs
Official website: https://intentic.dev/
Canonical LambdaBase page: https://www.lambdabase.com/tools/intentic-dev