Sim

Sim

Sim is an open-source AI workspace for teams to build, deploy, and manage AI agents, connecting 1,000+ integrations and every major LLM to automate work visually, conversationally, or with code.

Sim is ai tools software teams evaluate for content & marketing. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Contact for pricing API 70/100
#368 in AI Agents (368 tools)
Just launched
28081 directory views this week

Quick Overview

Best for: Content & Marketing

What it does

AI Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Content & Marketing

Pricing snapshot

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Next step

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Sim

Sim is the open-source AI workspace where teams build, deploy, and manage AI agents. It is designed for technical and non-technical teams to compose agent logic in a visual builder or by describing tasks in plain English, connect to data and tools, run agents across multiple models and integrations, and monitor every run. The platform highlights that it connects 1,000+ integrations and supports every major LLM, is trusted by over 100,000 builders, SOC2 compliant, and production-ready for teams of every size.

Open-source workspace for AI agents and workflows Discussion | Link

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Key Features

1,000+ Integrations

A single catalog of 1,000+ integrations (examples listed include Slack, HubSpot, Salesforce, Notion, GitHub, Gmail, Jira, Linear, Supabase, Stripe) so agents can act across the tools teams already use.

Run on Every Major LLM

Supports every major model provider (page lists OpenAI, Anthropic, Google, DeepSeek, xAI, Cerebras, Groq, Sakana AI) so agents can use a range of models.

Visual Workflow Builder

Compose agent logic with a visual builder or describe workflows in plain English; wire blocks, models, and integrations into agent logic and run agents in parallel.

Semantic Context & Memory

Stores data semantically in tables, files, and knowledge bases that agents read from to ground answers in a user's own data.

Monitoring & Observability

Live traces, full logs, and real cost visibility for each run so teams can see what ran and why.

Open Source & Team-Ready

Described as open-source and production-ready for teams of every size; used by over 100,000 builders and SOC2 compliant.

Pricing

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Use Cases

Sales lead enrichment and routing

Automatically enrich new leads with company data and post results into a sales channel (example: post enriched lead to #sales).

Support triage and escalation

Triage incoming support messages, draft replies, escalate urgent issues to engineering channels, and insert tickets into tracking tables.

Cross-tool automation

Create agents that act across Slack, CRM, ticketing, and other tools to automate end-to-end workflows spanning multiple systems.

Integrations

Slack

Enable agents to send and receive messages, post to channels, and act in Slack workflows.

HubSpot

Connect CRM workflows and enrich lead data for sales automation.

Salesforce

Integrate with Salesforce to read/write CRM data as part of agent workflows.

Notion

Use Notion as a source or destination for agent content and knowledge.

GitHub

Integrate with GitHub for code, issues, and repository interactions.

Gmail

Send, receive, and triage emails as part of agent workflows.

Jira

Create and update issues and route tickets via agent logic.

Linear

Integrate issue tracking and escalate items to engineering workflows.

Supabase

Use Supabase as a data backend for agent context and storage.

Stripe

Integrate payments-related workflows into agents.

Benefits

Open-source workspace for building, deploying, and managing AI agents.
Wide connectivity: plug into 1,000+ integrations to operate across existing tools and stacks.
Model flexibility: run agents on every major LLM listed on the site.
Observability: live traces, logs, and cost visibility for each agent run.
Enterprise readiness: described as production-ready, SOC2 compliant, and trusted by over 100,000 builders.

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Sign up or request a demo via the website.
  2. 2 Step 2: Connect integrations and provide context by adding your data (tables, files, knowledge bases).
  3. 3 Step 3: Build an agent using the visual builder or by describing the workflow in plain English, then run and monitor the agent with live traces and logs.

Support

Docs

Docs, Guides and API reference are available on the website for implementation and API usage.

Contact sales

The site provides a 'Contact sales' option and a 'Request a demo' flow for enterprise inquiries.

Blog & Changelog

Blog, Library, and Changelog resources available on the site for updates, how-tos, and release notes.

API

Available: Yes
Documentation:

Docs, Guides and API reference available on the website

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