# Gumloop vs Hakutaku

Gumloop records 379,557 monthly visits with -21.1% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Hakutaku records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Gumloop](https://openaitools.app/tool/gumloop) | [Hakutaku](https://openaitools.app/tool/hakutaku) |
| :--- | :--- | :--- |
| Website URL | https://www.gumloop.com | https://hakutaku.co |
| Categories | AI Workflow, No-Code&Low-Code, AI Agent, AI Web Scraping | AI Knowledge Management, AI Knowledge Base, AI Search Engine, AI Productivity Tools |
| Pricing Model | Freemium, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 379,557 | 0 |
| MoM Growth Rate | -21.1% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 125,579 | 0 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Gumloop

Gumloop positions itself as "agent infrastructure" for teams that want AI to execute work rather than just answer questions. You describe a task in plain language, pick a model, attach the connectors your company already uses (Slack, HubSpot, Salesforce, Gmail, Gong, and hundreds more), and the agent runs it — on a schedule, on a trigger, or in a shared chat where colleagues can @mention it. Everything the agent can do is mirrored from what a human would do, including logging into sites with a saved credential, clicking through interfaces, uploading files, and pulling data back out.

A big part of the pitch is governance. Gumloop puts credentials in a vault agents can use without ever seeing, records every browser session step by step with passwords masked, and gives admins role-based access, audit logs, AI spend insights, and per-agent model controls. Multiple providers — Anthropic, OpenAI, Google, xAI and open models — are available side by side, so teams can route cheap work to cheap models and hard reasoning to frontier ones.

Pricing is usage-based with a credit system layered on top of a seat-free plan structure. The Pro tier starts at $37/month and bundles 20,000 credits, unlimited agents and unlimited seats, plus an orchestration fee on top of usage; Enterprise adds custom pricing, VPC options, SSO/SCIM, connector policies and dedicated support. There is a 14-day free trial to start.

**Pricing & Plans:** 14-day free trial; Pro starts at $37/month including 20,000 credits with unlimited agents and seats plus an orchestration fee on usage; Enterprise is custom-priced with contact sales.

- **No-code agent builder:** Describe the outcome you want and let teammates who understand the problem assemble the agent — no scripting or learning curve required.
- **400+ connectors and app triggers:** Wire agents into Slack, HubSpot, Salesforce, Gmail, Gong, NetSuite, Shopify and hundreds more tools, then fire them on schedules, webhooks or events.
- **Real browser with a credential vault:** Agents sign in with saved logins or 1Password, browse from trusted connections, clear CAPTCHAs, and hand the live session to a human when needed.
- **Any model, side by side:** Run 35+ models from Anthropic, OpenAI, Google, xAI and open-source providers, or bring your own API keys, with per-agent access control.
- **Enterprise governance by default:** Session recordings with masked passwords, audit logs, SCIM/SAML, role-based access, AI spend insights and custom data-retention rules.

**Strengths:** Genuinely no-code: non-engineers can ship working agents without touching Python or JSON; Very broad connector library plus a real browser, so agents can reach tools that have no API; Strong enterprise controls — credential vault, masked session recordings, audit logs, RBAC, SSO; Model-agnostic with BYO API keys, which helps control cost and avoid lock-in

**Limitations:** Credit-plus-orchestration-fee pricing can be hard to forecast at high volume; The platform is evolving fast from workflows toward agents, so some docs and legacy features may feel transitional; Unlimited seats means real cost scales with usage rather than headcount, which surprises some buyers; Advanced governance (VPC, policies, dedicated support) sits behind custom Enterprise pricing

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

## Hakutaku

Hakutaku addresses a specific and familiar organisational bottleneck: the things that matter most live in the heads of two or three people, usually the founder's, so the team asks questions all day and nothing moves until that person replies. Hakutaku's answer is to build a clone of that judgment — one that learns how the person decides and answers the team in their place, so the founder remains the founder but stops being the bottleneck.

The mechanism has four parts. Ingestion pulls in meetings, documents and the tools the company already runs, with a Transcript feature recording and transcribing meetings. An ontology converts messy material into named entities — people, clients, projects, decisions and rules — explicitly including decisions that were rejected. A knowledge graph then holds the most recent decision on every subject along with what it replaced. Finally a harness of agents, which Hakutaku calls yokais, consults the graph before responding, and also learns from how the team uses it and from the agents the team builds. Those agents surface in Hakutaku's own chat, in its Agent Builder, and inside Claude or ChatGPT via MCP.

The product is deliberately positioned as a decision layer rather than a generic assistant: the site states plainly that it is not a chatbot, not a RAG wrapper and not AI consulting with slides. Hakutaku is based in São Paulo, Brazil, publishes its plan at R$200 per month, and routes companies needing bespoke integration, a dedicated agent or on-premises deployment to a conversation with the team. Access is currently through a closed beta and a three-minute pre-assessment with a waitlist.

**Pricing & Plans:** Hakutaku publishes a single plan at R$200 per month. Companies requiring custom integration, a bespoke agent or an on-premises deployment are invited to contact the team for pricing, so larger deals are quote-based. Onboarding currently runs through a three-minute pre-assessment and a waitlist during the closed beta, and no card is required to start.

- **Ingestion from meetings, documents and tools:** Meetings, documents and the tools a team already uses are ingested continuously, so the clone learns from the same material the team works with. A Transcript feature records and transcribes meetings.
- **An ontology of people, clients and decisions:** Everything is turned into a named thing — people, clients, projects, decisions and rules — including the decisions that were considered and rejected, which usually carry the most context.
- **A decision graph with version history:** The knowledge graph stores the latest decision on each subject along with whatever it superseded, so answers reflect current policy rather than stale documents.
- **Agents that consult the graph first:** The 'yokai' agents check the graph before answering, and are reachable inside Hakutaku chat, through the Agent Builder, and from Claude or ChatGPT via MCP.
- **Learns from how the team actually asks:** The clone improves from usage — from the agents you assemble and from the way your team phrases requests to it over time.

**Strengths:** Targets a concrete, high-value problem: removing the founder as the decision bottleneck; Decision graph keeps version history, so answers reflect the latest decision rather than stale docs; Works inside tools teams already use — Claude and ChatGPT via MCP, plus its own chat and Agent Builder; Clearly documented non-goals, which helps set expectations before adoption

**Limitations:** Currently in closed beta with a waitlist, so immediate self-serve access is not guaranteed; Published pricing is in Brazilian reais and the site is primarily in Brazilian Portuguese, which limits clarity for non-Brazilian buyers; The founder-clone concept depends on sustained ingestion of meetings and documents, so value accrues only after consistent usage; Enterprise needs such as bespoke integrations or on-premises deployment require contacting the team and are quote-based

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

## Frequently Asked Questions

### How do Gumloop and Hakutaku compare in monthly traffic?

Gumloop has 379,557 monthly visits, while Hakutaku has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Gumloop has a month-over-month growth rate of -21.1%; Hakutaku has 0%.

### How does pricing compare?

Gumloop: Freemium, Paid, Contact for Pricing. 14-day free trial; Pro starts at $37/month including 20,000 credits with unlimited agents and seats plus an orchestration fee on usage; Enterprise is custom-priced with contact sales. Hakutaku: Contact for Pricing. Hakutaku publishes a single plan at R$200 per month. Companies requiring custom integration, a bespoke agent or an on-premises deployment are invited to contact the team for pricing, so larger deals are quote-based. Onboarding currently runs through a three-minute pre-assessment and a waitlist during the closed beta, and no card is required to start.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | Executes autonomous multi-step web browser tasks, offering stronger general agentic execution than Gumloop's structured node pipelines. | [.md](https://openaitools.app/tool/manus.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Connects thousands of popular apps with robust traditional automations, but offers less native AI agent flexibility than Gumloop. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Provides powerful open-source node-based workflow automation, giving you more self-hosting control and flexibility than Gumloop. | [.md](https://openaitools.app/tool/n8n.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 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Provides a visual builder for custom AI agents and workflows, similar to Gumloop's automation capabilities. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 6 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | Builds recurring automated business workflows connected to enterprise applications, mirroring Gumloop's integration focus. | [.md](https://openaitools.app/tool/creao.md) |
| 7 | [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) |
| 8 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Combines AI task management with workflow automation, offering a more collaborative workspace than Gumloop's data pipeline focus. | [.md](https://openaitools.app/tool/taskade.md) |
| 9 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | Focuses specifically on cloud web scraping and lead generation automation rather than general AI agent workflows. | [.md](https://openaitools.app/tool/phantombuster.md) |
| 10 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Delivers enterprise-grade security and governance for automated workflows, but requires more deliberate setup than Gumloop. | [.md](https://openaitools.app/tool/tines.md) |

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Source: https://openaitools.app/compare/gumloop-vs-hakutaku

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
