
Open-source framework for building predictable, authenticated AI agents in regulated environments
Portia AI is an open-source developer framework for building predictable, stateful, and authenticated AI agent workflows. Built around three pillars — predictability, controllability, and authentication — it enables teams to deploy safe, reliable AI agents in regulated industries like finance and healthcare. The SDK generates structured multi-agent plans, manages execution states, authenticates users into external tools (Google, Slack, Zendesk, GitHub, and 1000+ more), and directs LLMs when human input is required. Backed by General Catalyst with 5.1M in funding, Portia combines an open-source Python SDK with a cloud platform offering prebuilt tools with out-of-the-box authentication.
Generates explicit, inspectable multi-agent plans before execution — making AI agent behavior predictable and auditable
Securely authenticate users into external tools like Google, Slack, Zendesk, and GitHub with OAuth flows handled automatically
Track and manage agent execution states with pause, resume, and human-in-the-loop intervention capabilities
Cloud platform offers prebuilt integrations with cloud and MCP tools, each with out-of-the-box authentication
Works with OpenAI, Anthropic, Mistral, and custom LLM instances for flexibility across providers
Agents automatically request human input when encountering decisions that require user judgment or approval
Designed for regulated environments with predictable behavior, audit trails, and controlled agent actions
Python SDK available on GitHub and PyPI for full transparency and customization of agent workflows