Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants.
The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations against datasets, and conducting side-by-side model output comparisons.
The system covers a broad range of operational capabilities, including cron-based task scheduling, multi-tenant workspace isolation, and human-in-the-loop review workflows. It also manages long-term memory through semantic search and provides automated scaling of compute resources across cloud environments.
A command-line interface is provided for local agent validation, graph packaging, and rapid testing via a local development server.
