Portia Labs Build predictable, controllable and authenticated AI agents.

What is Portia Labs?

Portia Labs offers a platform designed for developers to create AI agents that are predictable and controllable. It enables Large Language Models (LLMs) to outline explicit action plans in response to user requests. The system facilitates user authentication and allows for steering the agents during their task execution. Developers can leverage a ready-made tool catalogue to expedite deployment or build custom tool libraries using provided templates.

The platform focuses on managing the entire lifecycle of AI agents. This includes generating structured multi-agent plans with dynamically matched tools, deploying execution agents to run these plans, and enriching the context at each step. It also incorporates mechanisms to pause agents for human or machine input and securely access software on behalf of users through runtime authentication and built-in security features in its cloud offering.

Features

Explicit Planning: Generate structured multi-agent plans with dynamically matched tools or predefined templates.
Controlled Execution: Deploy execution agents to run plans, manage run states, and enrich context.
Agent Direction: Pause agents to solicit structured human or machine input using clarification abstraction.
Runtime Authentication: Securely access software on behalf of users with built-in auth or custom credential handling.
Open Source SDK: Provides flexibility for developers to manage the agent lifecycle.
Cloud Platform: Simplifies agentic deployments at scale with features like state saving, restoration, and logging.
Customizable Tool Library: Build custom tools or use ready-made ones from the catalogue.

Use Cases

Building automated refund agents integrated with payment platforms like Stripe.
Creating agents to manage software development workflows (e.g., interacting with GitHub).
Developing AI assistants that require user authentication for specific tasks.
Implementing complex workflows requiring human intervention or clarification.
Deploying scalable agentic applications with state management and logging.