Paseo
Paseo is an open-source, self-hosted daemon that enables users to orchestrate multiple AI coding agents in parallel on their own infrastructure. It provides a unified interface across desktop, iOS, Android, web, and CLI, allowing developers to manage agents from virtually any device. The platform emphasizes user autonomy and privacy by offering voice control and diff review capabilities, while eliminating telemetry and forced log-ins. The tool is designed for teams and individuals who want to maintain full control over their AI development workflows. By running agents on local machines or private servers, Paseo ensures that code and data remain within the user's environment, addressing concerns about data sovereignty and security. Its multi-platform support makes it convenient for developers who need to monitor and direct agent activities on the go. Paseo is distributed as open source, meaning it can be audited, customized, and extended by the community. The project falls under the AI Agents category and is particularly relevant for developers looking to harness the power of multiple AI agents for coding tasks without relying on cloud-based services or third-party orchestration platforms.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
Paseo solves the challenge of coordinating multiple AI coding agents across different devices while preserving privacy and control. By self-hosting the orchestration daemon, it allows developers to manage parallel agents from desktop, mobile, or CLI without forced log-ins or telemetry, ensuring that code and data remain on their own infrastructure.
Use cases
- Run multiple coding agents in parallel on local machines
- Review diffs and agent outputs from mobile or desktop
- Voice-controlled management of AI coding agents
- Self-hosted orchestration for privacy-conscious teams
- Cross-platform agent management (iOS, Android, web, CLI)
- Automate code generation and refactoring tasks
- Integrate with existing development workflows
Audience
- Developers
- ML Engineers
- Data Scientists
- Startups
- Enterprise
Pros
- Self-hosted for full data control
- No telemetry or forced log-ins
- Multi-platform support (desktop, mobile, web, CLI)
- Voice control convenience
- Parallel agent orchestration
Cons
- Requires self-hosting setup and maintenance
- May have a learning curve
- Limited documentation or community support initially
- No managed cloud option
- Potentially early-stage software
Official website: https://github.com/getpaseo/paseo
Canonical LambdaBase page: https://www.lambdabase.com/tools/paseo