# Adapt vs Fact0

Adapt records 31,479 monthly visits with -21.2% month-over-month growth and Freemium, Free Trial pricing. Fact0 records 0 monthly visits with 0% growth and Open Source (MIT); self-hosted, no subscription fees pricing.

| Metric | [Adapt](https://openaitools.app/tool/adapt) | [Fact0](https://openaitools.app/tool/fact0) |
| :--- | :--- | :--- |
| Website URL | https://adapt.com | https://fact0.io |
| Categories | AI Agent, AI Data Mining, AI For Data Analytics | AI Agent |
| Pricing Model | Freemium, Free Trial | Open Source (MIT); self-hosted, no subscription fees |
| Monthly Visits | 31,479 | 0 |
| MoM Growth Rate | -21.2% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 26,034 | 0 |
| Review Score | 4.2 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Adapt

Adapt positions itself as the operating layer for companies that want AI agents doing genuine work rather than demos. The company agent is the front end: it answers in Slack, email or a web app, reads from connected systems such as a CRM and mail, and carries out multi-step jobs. Because each run starts from what the previous run learned and uses the access rights of the requesting user, the agent stays inside existing permission boundaries instead of demanding a new security model.

Underneath the agent, Adapt exposes the infrastructure as separate products you can adopt individually or together. Sandboxes are isolated computers that run code outside your application, metered per second and free while parked. Storage keeps files and memories between runs so work compounds instead of resetting, and the model gateway routes requests to Claude, GPT, Gemini or other models through one API — you can switch models in configuration rather than rewriting code, use your own provider keys at no markup, or use Adapt's keys at list price plus a small surcharge.

For organisations that want the outcome without the build, Adapt offers AI Transformation Services: a roadmap for where agents fit, agents and infrastructure built and run on Adapt Cloud, in your VPC or on-premises, and ongoing upgrades, monitoring and incident response. A developer preview open-source company agent is also offered, which signals the platform is aimed at engineering teams as much as business users.

**Pricing & Plans:** Freemium-style entry with a free trial and usage-based components. Sandboxes are metered per second while running and cost nothing when parked; storage is billed on usage; the model gateway charges 0% markup when you bring your own provider API keys and list price plus roughly 5.5% when using Adapt's keys. AI Transformation Services and enterprise deployments are quoted individually.

- **Company agent:** One agent that works across every team's tools and knowledge, answering in Slack, email and the web app and acting with the permissions of the person asking.
- **Sandboxes:** Isolated computers for each agent run, configurable up to 32 vCPU and 32 GiB, billed by the second while active and free when parked.
- **Storage for files and memories:** Files persist after a sandbox stops and memories are recalled by later runs, so agents build on previous work instead of starting from scratch.
- **Model gateway:** Reach Claude, GPT, Gemini and other models through a single OpenAI-style API, switching models in configuration and optionally using your own provider keys at 0% markup.
- **Managed AI transformation services:** Adapt engineers help plan, build and operate agents on Adapt Cloud, in your VPC or on-premises, including monitoring and incident response.

**Strengths:** Agents operate with the asking user's existing permissions, which avoids inventing new access models; Infrastructure is modular, so you can start with one component and add the rest later; Model gateway keeps you vendor-neutral and charges no markup when you supply your own provider keys; Per-second sandbox billing with no charge while parked keeps experimentation costs low

**Limitations:** Per-second compute plus per-request model costs can be harder to forecast than a flat subscription; The open-source company agent is still a developer preview, so some capabilities are early; Setup benefit depends on how well your internal tools and data sources can be connected

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

## 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)

## Frequently Asked Questions

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

Adapt has 31,479 monthly visits, while Fact0 has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Adapt has a month-over-month growth rate of -21.2%; Fact0 has 0%.

### How does pricing compare?

Adapt: Freemium, Free Trial. Freemium-style entry with a free trial and usage-based components. Sandboxes are metered per second while running and cost nothing when parked; storage is billed on usage; the model gateway charges 0% markup when you bring your own provider API keys and list price plus roughly 5.5% when using Adapt's keys. AI Transformation Services and enterprise deployments are quoted individually. 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.

## 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 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [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) |
| 4 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Enterprise AI grounded in your company's own knowledge | [.md](https://openaitools.app/tool/glean.md) |
| 5 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 6 | [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) |
| 7 | [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) |
| 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 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Multiplayer AI where people and agents work side by side | [.md](https://openaitools.app/tool/dust.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/adapt-vs-fact0

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