Loom
A production-ready agent framework for building, running, and scaling AI agents across product, cloud, and CLI environments.
Overview
Enterprise agents that operate across real environments
Loom is our agent framework for building intelligent, tool-using systems that can plan, execute, and adapt. It powers agent experiences in-platform, in automation workflows, and in local developer environments.
- Multi-Surface Execution
- Run agents where work happens: in product interfaces, cloud workflows, or local CLI tooling
- Memory and Planning Built In
- Support complex tasks with persistent memory and optional planning for stronger decision quality over time
- Tooling-First Agent Design
- Connect agents to structured tools and workflows so they can deliver practical outcomes, not just chat responses
Key Features
Agent infrastructure built for production, not demos
Loom combines framework flexibility with enterprise control, so teams can move from experimentation to dependable agent operations.
- Robust Frameworks
- Build agents for the runtime that fits your usage needs - on device, in-app, on platform
- Provider Flexibility
- Use OpenAI, Azure OpenAI, Anthropic, and compatible endpoints as well as local models to fit enterprise model strategy and governance needs
- Comprehensive Tools
- In-built tool suite with ability to add your own, covering a wide range of actions both in platform or external systems, that let agents take reliable, auditable actions
- Prompt and Policy Control
- Use template-based prompts, configurable behaviors, and audited traces to enforce consistent agent performance
- Lifecycle Observability
- Capture callbacks, logs, and execution traces for debugging, governance, and continuous improvement
- CLI Harness for Power Users
- Enable advanced scenarios running workflows locally with Loom CLI
Deploy Loom for real enterprise automation
Partner with us to design and deploy agents that integrate with your tools, respect your controls, and deliver measurable business impact.