Sim is an open-source AI workspace positioned as a unified platform for enterprises to build, deploy, and manage AI agents. It enables teams to create, monitor, and govern every agent running in the business within a collaborative space, with centralized control over access permissions, spending, and data.
Main capabilities:
- Agent building: Agents can be created and deployed in three ways: through chat conversations, a visual canvas, or code.
- Integrations and models: It offers 1000+ integrations, supports all mainstream LLMs, and can connect blocks, models, and integrations to compose agent logic.
- Memory and data: It provides each agent with trusted memory from synced sources, stores structured data that agents read and update between runs, and keeps team-uploaded content and agent outputs in shared storage.
- Run tracing: It traces each agent run block by block, including failures.
- Governance and security: It supports SSO and SCIM (connecting identity providers for login and automated member provisioning), permission groups (controlling the models, integrations, and tools available to each group), spending controls (setting organization and per-member usage limits and tracking costs by workspace), audit records (recording security-related changes and tracking every run), and data retention (setting the retention period for run data per workspace).
- Deployment methods: It supports self-hosting, allowing Sim to run in your own cloud environment via Docker or Kubernetes.
- Terminal and code integration: Sim can be used from Claude Code or the terminal to build, run, and manage agents.
Use cases: Suitable for enterprise teams that need to centrally build, distribute, and govern multiple AI agents, especially in scenarios focused on access control, cost management, and data compliance.
Limitations and compliance: The materials mention SOC 2 Type II, ISO 27001, and GDPR, with details in the Sim Trust Center. Other specific limitations are not currently provided.
