Sim vs Vellum
Sim is the open-source AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. Here is how Sim compares to Vellum on platform architecture, AI capabilities, integrations, pricing, security, and support. Every fact below is sourced and dated.
Sim is an open-source AI workspace for building, deploying, and managing AI agents. This page compares Sim to Vellum across platform architecture, AI capabilities, integrations, pricing, security and compliance, observability, and support, using sourced, dated facts for buyers evaluating both platforms.
What is Sim?
Sim is the open-source AI workspace where teams build, deploy, and manage AI agents, connecting 1,000+ integrations and every major LLM to automate real work visually, conversationally, or with code.
What is Vellum?
Vellum is an enterprise AI development platform for building, evaluating, and deploying LLM prompts, workflows, and agents.
Sim vs Vellum: feature-by-feature comparison
Sim standout features
AI Copilot / Chat agent-building surface
Chat builds and manages work across the workspace; in-editor Copilot edits a single workflow.
A workspace-wide natural-language surface (Chat) that can build workflows, manage data, and take actions across integrations, plus an in-editor Copilot scoped to building and editing a single workflow directly.Hybrid semantic + keyword knowledge base
Combines vector and full-text search with configurable chunking across 11 file formats.
Built-in RAG with pgvector embeddings and a generated tsvector column for combined vector + full-text search, plus a token-based chunker with configurable chunk size/overlap and 11 supported file formats (csv, doc, docx, html, json, md, pdf, pptx, txt, xlsx, yaml).Native MCP client and server
Call external MCP servers as tools, or expose Sim workflows as an MCP server.
A dedicated MCP block lets any workflow call external MCP servers as a tool, and a serve/workflow-servers API surface lets Sim expose its own workflows as MCP servers.Fork a workspace into dev, qa, and prod environments
Fork, diff, and promote environments with mandatory credential remapping.
Fork a whole workspace into a dev/qa/prod-style child environment, preview a diff, and promote changes bidirectionally. Credential and env-var remapping is required on every promote, so secrets never cross environments silently.Human-in-the-loop approvals with durable resume
Pause a run for human approval and resume later via a durable snapshot link.
A dedicated block pauses a run and waits for a human-submitted approval form, backed by persisted execution snapshots so the run can resume later via a link, even after a server restart.Self-hostable under Apache 2.0
Fully open source with Docker Compose and Helm deployment options.
Fully open source (Apache 2.0), with Docker Compose files and a Helm chart for Kubernetes deployment, alongside a managed cloud-hosted option.Live multiplayer canvas editing
Real-time cursors, selections, and synced edits on the same canvas.
Real-time cursors, selection broadcasting, and synced concurrent edits over a dedicated realtime backend, so a team can build the same workflow together at the same time.Documented Vellum limitations
Brand/product ambiguity as of mid-2026
Public site now foregrounds a consumer product over the enterprise platform.
Vellum's homepage, pricing page, security docs, and several product pages now serve content for a new consumer 'Personal Intelligence' assistant (an open-source, MIT-licensed Mac app) instead of the original enterprise workflow, evaluations, and prompt-engineering platform. That makes enterprise-specific details, like environment promotion, version-control depth, tracing, alerting, and integration counts, harder to verify from the public site alone.Enterprise BYOK policy no longer verifiable
Pricing page now shows a different consumer product; enterprise BYOK policy unconfirmed.
Vellum's pricing page has been replaced by a consumer 'Personal Intelligence' pricing model (subscription plus pay-as-you-go credits); the original enterprise LLM-cost-pass-through pricing this claim describes, including any bring-your-own-API-key policy, is no longer published at this URL.Enterprise SLA no longer verifiable
SLA status unverifiable after the /enterprise page pivoted to the consumer product.
The /enterprise page has been repurposed for Vellum's consumer product and no longer represents its (formerly documented) enterprise LLMOps offering, so SLA absence can no longer be verified against genuine enterprise-tier content at this URL.No native spreadsheet-style data tables
No documented table/spreadsheet feature; CSV upload and extraction only.
No Vellum documentation describes a native, spreadsheet-like data-table object with persistent rows/columns, keyboard navigation, or per-row writes from workflows; the closest documented tabular handling is uploading CSV/XLS files and extracting or generating structured output within workflow nodes, unlike Sim, which has a built-in Tables feature.Bottom line
Choose Sim if you want an open-source, self-hostable AI workspace that treats AI agents as first-class citizens: native multi-LLM support, real-time multiplayer editing, environment promotion (dev/qa/prod), human-in-the-loop approvals, and enterprise governance (SSO, credential-level permissions, audit logs) built in rather than bolted on.
Choose Vellum if you specifically need HIPAA compliance with a signable BAA: Vellum is HIPAA compliant and enterprise customers can sign a Business Associate Agreement for handling protected health information, corroborated by a third-party Drata case study. Sim does not currently offer HIPAA compliance (both platforms hold SOC 2 Type 2).
Frequently asked questions
Sim is an open-source AI workspace where teams build, deploy, and manage AI agents visually, conversationally, or with code. Vellum is an enterprise AI development platform for building, evaluating, and deploying LLM prompts, workflows, and agents. Teams considering a switch typically weigh licensing (Sim is Apache 2.0 and self-hostable), pricing model, and how AI-native the platform's agent-building experience is.