Polos is an open-source runtime designed for running AI agents in production environments. It addresses challenges developers face when deploying agents, such as sandboxed execution, workflow durability, approval processes, trigger management, and observability. The platform allows users to focus on writing the agent logic, while Polos manages the operational complexities of running agents reliably and securely at scale.
Key features include isolated execution environments using Docker and E2B, with built-in tools for executing commands, reading, writing, editing files, pattern matching, and web search. Polos supports human-in-the-loop approval flows for any tool call, enabling teams to provide approvals via Slack, a UI, or the terminal. Agents can be paused without consuming compute resources during the approval process. Workflow durability is achieved through auto-retry mechanisms, log replay, concurrency control, and prompt caching, which can reduce API costs by 60–80%. The platform offers built-in triggers such as webhook URLs, HTTP APIs, cron schedules, and event-driven actions, with integrations for GitHub and Slack that require no additional glue code.
Observability is provided through OpenTelemetry tracing, a complete execution history, and a visual dashboard for debugging and replaying workflows. Polos is compatible with any large language model accessible via the Vercel AI SDK or LiteLLM, and supports frameworks such as CrewAI, LangGraph, and Mastra. Developers can use either Python or TypeScript to define agents and workflows.
Example use cases highlighted include agents that review code via GitHub webhooks, data analysts that connect to data warehouses and require approval before sharing results, and research agents that crawl multiple sources and checkpoint progress for durability. Polos is aimed at developers and teams who need to ship robust, production-ready AI agents with reliable execution, cost efficiency, and comprehensive monitoring. The project is fully open source and maintained by Gypsum AI, Inc.
Polos sits in PulseGate's Autonomous agents & workflows category. Developers need a robust runtime to deploy, manage, and observe AI agents in production environments. It is built as an open-source project for AI developers and agent framework builders. Polos is open source under the Apache-2.0 license. It runs on the command line, and it can be self-hosted.
Polos first shipped in 2026. Development happens publicly on GitHub with 35 stars. Key capabilities include sandboxed execution, durable workflows, and approval flows. It exposes integrations via a public API.
Latest indexed changes and source events
Other apps tracked under the same category.
