# Fact0 vs Sim AI

Fact0 records 0 monthly visits with 0% month-over-month growth and Open Source (MIT); self-hosted, no subscription fees pricing. Sim AI records 140,953 monthly visits with +20.6% growth and Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 pricing.

| Metric | [Fact0](https://openaitools.app/tool/fact0) | [Sim AI](https://openaitools.app/tool/sim-ai) |
| :--- | :--- | :--- |
| Website URL | https://fact0.io | https://www.sim.ai |
| Categories | AI Agent | AI Agent, AI Workflow, AI Knowledge Base, AI Developer Tools |
| Pricing Model | Open Source (MIT); self-hosted, no subscription fees | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 |
| Monthly Visits | 0 | 140,953 |
| MoM Growth Rate | 0% | +20.6% |
| Primary Market | Global | India |
| Direct Visits | 0 | 73,826 |
| Review Score | 4.5 | 4.6 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Fact0

Fact0 addresses a practical gap in agent engineering: once an AI agent runs autonomously, it is hard to say precisely what it did. Fact0 installs locally via Docker Compose (a Go API, a Next.js dashboard and PostgreSQL) and creates one owner and one workspace without any cloud account. You then instrument your agent through the Python SDK or connect the Claude Code plugin, and every supported span — prompts, tool calls, tool results, assistant text, handled failures — is written to your own database.

Inspection is a first-class feature. A graph view shows the path through a run, a timing waterfall shows ordering, and each recorded step exposes the captured value beside it so you can expand, copy or download the raw content. Replay reconstructs saved execution events at your own pace; importantly, replay replays the record and does not re-run the agent, so you are always looking at what genuinely happened.

Fact0 is deliberately honest about its limits. It is experimental software under best-effort maintenance, with one owner and one workspace in the current release. Audit verification proves that the checked records are consistent with their hashes and preceding links, and export verification checks signed file bytes against a separately trusted public key — but neither proves complete capture, truthful source data or protection from an administrator replacing the whole history. Missing or unsupported content is marked partial or unavailable rather than silently omitted.

**Pricing & Plans:** Free and open source under the MIT license. You self-host with Docker Compose, so there are no Fact0 subscription fees or per-seat pricing; you only bear your own infrastructure costs. There is no hosted billing or team-invitation offering, and no SLA.

- **Local-first capture:** Run the API, dashboard and PostgreSQL in your own environment via Docker Compose, then point your agent at the local instance with an API key. Data and signing keys stay with your installation.
- **Two entry points, one history:** Record Python agents through the SDK (execution spans, tool results, supported model content, audit events) and Claude Code sessions through the collector plugin, then inspect both in the same workspace.
- **Execution graphs and replay:** Follow a run through a graph, a timing waterfall and recorded spans, then step through saved events at your own pace. Replay reconstructs the record without re-running the agent.
- **Hash-chained audit records:** Check the consistency of stored events against their hashes and preceding links, with capture gaps reported visibly rather than hidden.
- **Signed evidence exports:** Download authenticated PDF reports and evidence ZIPs, and verify the signed PDF and verification JSON against a separately trusted instance public key.

**Strengths:** Open source under the MIT license and fully self-hosted, so sensitive prompts and source code never leave your infrastructure; Unusually transparent documentation that states capture limitations and what audit verification actually proves; Docker Compose setup with a one-owner, one-workspace model makes getting started quick and scriptable; Covers both Python agents and Claude Code in a single inspection workspace

**Limitations:** Explicitly experimental with best-effort maintenance, so it is not suited to production-critical reliance; Not a hosted service: no cloud account, no team invitations, no SLA, and none of the operational support a managed product provides; Capture completeness depends entirely on your instrumentation and supported hooks; absent content is only marked partial or unavailable

[Profile (Markdown)](https://openaitools.app/tool/fact0.md)

## Sim AI

Sim is an open-source AI workspace for companies that need to build, distribute and govern AI agents rather than run isolated prompts. It brings four connected products into one environment: Workflows for designing repeatable agent logic, Knowledge Base for grounding agents in internal documents, Tables for structured data agents can read and update, and Files for shared inputs, outputs and artifacts. A Logs product traces every run for debugging and cost visibility.
Teams can build through conversation in Chat, by arranging blocks on a visual canvas, or by writing code and using the CLI. Integration coverage is broad, with 270+ connectors spanning Slack, GitHub, Gmail, Notion, Salesforce, Jira, Linear, Supabase and Stripe, alongside every major LLM including OpenAI, Anthropic, Google, DeepSeek and xAI models. The Knowledge Base automatically syncs sources such as Notion, Google Drive, Confluence, Slack, GitHub and SharePoint, so agents answer from current content instead of stale snapshots.
Governance is the other half of the product. Administrators set permission groups for models, integrations and tools, define organization and per-member spend limits, retain audit records, and configure workspace data retention. Sim Cloud is available alongside self-hosting via Docker or Kubernetes under the Apache 2.0 license, with enterprise features gated by a license. The company publishes a Trust Center covering SOC 2 Type II, ISO 27001 and GDPR, and counts Rivian and eXp Realty as customers.

**Pricing & Plans:** Free forever on Sim Cloud with 1,000 one-time credits, 1 workspace and 5 GB storage. Pro is $25 per user/month (6,000 credits/month), Max is $100 per user/month (25,000 credits/month), and Enterprise is custom. Sim Cloud credits are worth $0.005 each, and the platform is free to self-host under Apache 2.0.

- **Build agents three ways:** Create agents by describing them in Chat, arranging blocks on a visual canvas, or writing code and CLI commands, and deploy the result without rebuilding it.
- **Knowledge Base with live sync:** Sync and auto-update documents from Notion, Google Drive, Confluence, Slack, GitHub and SharePoint so agents ground answers in current company knowledge.
- **Tables and Files:** Agents read and write structured data in Sim Tables and keep files and artifacts organized in one shared store across runs.
- **Execution logs and cost tracking:** Trace every agent run block by block with success rate, latency, execution cost and failure details for debugging and reporting.
- **Enterprise governance and self-hosting:** Manage SSO and SCIM provisioning, permission groups, model and tool access, spend limits, data retention and Docker or Kubernetes deployment.

**Strengths:** Open source under Apache 2.0 with free Docker and Kubernetes self-hosting; Four plans from Free to Enterprise, so teams can start without a sales call; 270+ integrations and every major LLM in one workspace; Knowledge Base auto-syncs from Notion, Drive, Confluence, Slack, GitHub and SharePoint

**Limitations:** Credit-based Cloud pricing can be harder to forecast than flat seat pricing; Enterprise governance features such as SSO, SOC 2 controls and self-hosted enterprise licensing sit above the Free plan; With 270+ integrations and four plan tiers, first-time setup requires deliberate configuration; Small Free plan limits (1 workspace, 5 GB storage, 30-day log retention) push team use toward paid tiers

[Profile (Markdown)](https://openaitools.app/tool/sim-ai.md)

## Frequently Asked Questions

### How do Fact0 and Sim AI compare in monthly traffic?

Fact0 has 0 monthly visits, while Sim AI has 140,953. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fact0 has a month-over-month growth rate of 0%; Sim AI has +20.6%.

### How does pricing compare?

Fact0: Open Source (MIT); self-hosted, no subscription fees. Free and open source under the MIT license. You self-host with Docker Compose, so there are no Fact0 subscription fees or per-seat pricing; you only bear your own infrastructure costs. There is no hosted billing or team-invitation offering, and no SLA. Sim AI: Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0. Free forever on Sim Cloud with 1,000 one-time credits, 1 workspace and 5 GB storage. Pro is $25 per user/month (6,000 credits/month), Max is $100 per user/month (25,000 credits/month), and Enterprise is custom. Sim Cloud credits are worth $0.005 each, and the platform is free to self-host under Apache 2.0.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Provides vastly superior general workflow automation and node variety, but with slightly less specialized native LLM evaluation tooling. | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 5 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) |
| 6 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Offers an intuitive no-code builder for custom agents, but is a commercial platform without Sim AI's open-source flexibility. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 7 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Offers a more polished visual canvas for RAG pipelines and LLM apps, but requires more setup for external API integrations. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 8 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 9 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Provides enterprise-grade security and robust incident response workflows, but lacks native visual RAG knowledge base management. | [.md](https://openaitools.app/tool/tines.md) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Features a cleaner, more lightweight visual builder with conversational prompting, but has a smaller ecosystem of prebuilt AI components. | [.md](https://openaitools.app/tool/activepieces.md) |

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Source: https://openaitools.app/compare/fact0-vs-sim-ai

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