# Fact0 vs Miro

Fact0 records 0 monthly visits with 0% month-over-month growth and Open Source (MIT); self-hosted, no subscription fees pricing. Miro records 30,749,206 monthly visits with +1.7% growth and Freemium, Contact for Pricing pricing.

| Metric | [Fact0](https://openaitools.app/tool/fact0) | [Miro](https://openaitools.app/tool/miro) |
| :--- | :--- | :--- |
| Website URL | https://fact0.io | https://miro.com |
| Categories | AI Agent | AI Project Management, AI Workflow, Whiteboard AI, AI Diagram Generator |
| Pricing Model | Open Source (MIT); self-hosted, no subscription fees | Freemium, Contact for Pricing |
| Monthly Visits | 0 | 30,749,206 |
| MoM Growth Rate | 0% | +1.7% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 20,179,618 |
| Review Score | 4.5 | 4.5 |
| Saved Count | 0 | 40 |
| 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)

## Miro

Miro is a visual collaboration platform built around an infinite, multiplayer canvas. Teams use it to run brainstorming sessions, design sprints, workshops, and retrospectives, sketching ideas as sticky notes, shapes, and freeform drawings that everyone can see and edit at the same time. What began as a digital whiteboard has expanded into an "innovation workspace" where the messy early thinking and the structured plan that follows live in one place.

Structured formats are a large part of that expansion. Miro boards can hold Docs, Tables, Slides, Kanban boards, and Timelines, so a research synthesis can flow straight into a roadmap without switching tools. Thousands of templates and prebuilt playbooks cover common ceremonies, from customer journey mapping to technical architecture diagrams. Deep integrations with Jira, Asana, Linear, ClickUp, Slack, and Microsoft let the canvas stay connected to where work actually gets executed.

AI now runs through the product. Miro can generate diagrams, tables, and summaries from board content, clean up images, and connect external assistants such as Claude, Cursor, or Copilot through an MCP server. Paid plans meter these features with AI credits, and enterprise tiers add SSO, governance controls, and advanced security. Pricing starts with a free tier for small teams and scales through per-member plans to custom enterprise agreements.

**Pricing & Plans:** Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support.

- **Infinite collaborative canvas:** An infinite multiplayer board where cursors, comments, and live editing let remote and hybrid teams work in the same space simultaneously.
- **Structured formats on the canvas:** Docs, Tables, Slides, Kanban, and Timelines live alongside freeform drawing so a workshop can turn directly into a structured plan.
- **AI diagramming and synthesis:** Generate diagrams, tables, and summaries, remove image backgrounds, and connect external AI assistants through the MCP server.
- **Templates and playbooks:** 6,000-7,000+ templates for brainstorming, workshops, roadmapping, and process mapping give teams a running start.
- **Integrations and two-way sync:** Connect 250+ tools such as Jira, Asana, Linear, Slack, and Microsoft, with two-way sync available for planning workflows.

**Strengths:** Best-in-class infinite canvas that scales from a quick brainstorm to large workshops; Structured Docs, Tables, Slides, and Kanban reduce tool switching; Huge integration and template ecosystem including two-way Jira and Linear sync; Strong enterprise security, SSO, and admin controls for large organizations

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

## Frequently Asked Questions

### How do Fact0 and Miro compare in monthly traffic?

Fact0 has 0 monthly visits, while Miro has 30,749,206. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fact0 has a month-over-month growth rate of 0%; Miro has +1.7%.

### 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. Miro: Freemium, Contact for Pricing. Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support.

## 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 | [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) |
| 3 | [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) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Whimsical](https://openaitools.app/tool/whimsical) | 966,895 | -18.7% | Freemium | Stronger focus on structured mind mapping and flowcharting, but lacks Miro's massive template library and enterprise workshop features. | [.md](https://openaitools.app/tool/whimsical.md) |
| 6 | [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) |
| 7 | [Eraser](https://openaitools.app/tool/eraser) | 534,396 | -23.6% | Freemium, Paid, Contact for Pricing | Excels at generating technical architecture diagrams directly from code, but less suited for freeform creative brainstorming. | [.md](https://openaitools.app/tool/eraser.md) |
| 8 | [Boardmix](https://openaitools.app/tool/boardmix-online-whiteboard) | 447,560 | -6.2% | Freemium | Similar collaborative online whiteboard experience with strong AI diagramming, but offers fewer complex enterprise integration options. | [.md](https://openaitools.app/tool/boardmix-online-whiteboard.md) |
| 9 | [Flowith](https://openaitools.app/tool/flowith) | 324,679 | -27.3% | Contact for Pricing | Features a spatial visual canvas integrated with multi-model chat agents, but less focused on team workshop facilitation. | [.md](https://openaitools.app/tool/flowith.md) |
| 10 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |

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Source: https://openaitools.app/compare/fact0-vs-miro

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