Hexabot
by Hexabot · Self-hosted AI workflow automation with chat, actions and memory
BenchRank score
Screenshots of Hexabot
Homepage
Overview
Hexabot is a self-hosted platform for building AI agents and workflows that trigger from chat, forms, schedules or events and then call models, tools, APIs and back-office systems. Flows are modelled as a visual graph or as portable YAML with typed contracts, alongside memory, retrieval and MCP integration points. You scaffold a project with the CLI and run the stack yourself.
- Best for
- Teams that want to self-host AI chat and workflow automation on their own infrastructure.
- Pricing
- Free self-hosted Community plan, then $19/month (Starter), $59/month (Pro) and $149/month (Unlimited) for licence keys, with a custom quote for Enterprise.
- Runs on
- Self-hostedCLI
Strengths and trade-offs
Strengths
- Self-hosted: data, models and memory stay on your infrastructure
- No billing by message volume or workflow execution
- No plan limit on projects or integration connections
- Flows as a visual graph or portable YAML for version control
Trade-offs
- Community tier caps you at 1 user and 10 workflows
- Self-hosting only; you run and maintain the infrastructure
- Source-available under FCL-1.0-ALv2, not an OSI open-source licence
- Unlimited is fair-use, and seats and activations are still capped
How Hexabot markets itself
A structured read of the promise, proof and page design on Hexabot’s captured homepage.
Homepage capture
“Self-Hosted AI Workflow Automation Platform”
- Angle: Open source / ownership
- Hero: Typography only
Pricing
Published plans and prices from Hexabot’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Hexabot pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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