agentao is an open-source governed agent runtime designed for running AI agents locally with a focus on privacy and embeddability. It supports multimodal agents, integrates with MCP, and is suitable for developers building private, local-first AI solutions.
In the Frameworks & runtimes space, agentao takes a focused approach. It focuses on running and managing AI agents locally with privacy and governance controls. agentao is an open-source project aimed at AI developers and researchers. The project is open source (MIT). It ships for the command line, and it can be self-hosted.
agentao first shipped in 2026. The project is developed in the open on GitHub with 81 stars and 315 commits in the last 90 days. Key capabilities include agent runtime, local execution, and privacy-first. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do