
The AI workspace where teams and agents get work done together
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.

Self-hosted audit history and execution replay for AI agents

Open-source workspace to build, deploy and govern AI agents
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | fact0.io | sim.ai |
| 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 (0) | 140.95K (140,953) |
| MoM Traffic Delta | 0 (0%) | +24.09K (+20.6%) |
| Primary Market & Share | 🌐 Global (—) | 🇮🇳 India (26.1%) |
| Direct Visits / mo | 0 | 73.83K |
| User Rating | 4.5 | 4.6 |
| Supported Platforms | Website | Website |

Self-hosted audit history and execution replay for AI agents
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.
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.
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.
Check the consistency of stored events against their hashes and preceding links, with capture gaps reported visibly rather than hidden.

Open-source workspace to build, deploy and govern AI agents
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.
Sync and auto-update documents from Notion, Google Drive, Confluence, Slack, GitHub and SharePoint so agents ground answers in current company knowledge.
Agents read and write structured data in Sim Tables and keep files and artifacts organized in one shared store across runs.
Trace every agent run block by block with success rate, latency, execution cost and failure details for debugging and reporting.

The AI workspace where teams and agents get work done together

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