“deployment”

Open-source agent harness that runs the model loop for you, with MCP tools, skills, sandboxing, approvals and a chat UI.

JavaScript and TypeScript framework of interoperable components for building LLM apps and agents, with LangGraph.js and Deep Agents above it.

Python framework for real-time voice and vision agents that process video with pluggable models and processors over WebRTC.

Python framework for MCP-based agents with composable workflow patterns, MCP server creation and Temporal-backed durable execution.

Python framework for durable AI agents built as dataflows that resume after crashes, retry safely and record each step.

Python framework for autonomous agents that work in a sandboxed workspace, and task agents with tools and MCP support.

Python framework for data labeling agents that learn skills from a ground-truth dataset through iterative feedback.