Kortix
by Suna · Open-source AI agent platform run from a git repo you own
BenchRank score
Screenshots of Kortix
Homepage
Overview
Kortix is an open-source platform for running AI agents across a company. Agents, skills, memory, connector config and triggers are held as files in one git repo, and each session boots its own isolated Linux machine, does the work, and lands it on main as a change request you read as a diff. Sessions can be started from the web, Slack, Teams, mobile, CLI, API, cron or webhooks.
- Best for
- Teams wanting an open-source, self-hostable platform for AI agents wired into their own tools and models
- Pricing
- Self-hosting is free and open source; managed cloud is stated as $40 per seat per month plus usage.
- Runs on
- iOSAndroidmacOSLinuxSelf-hostedCLI
Strengths and trade-offs
Strengths
- Open source; self-host, VPC, on-prem, or managed cloud
- Agents, skills, memory and config are files in a git repo you own
- Model-agnostic — your own keys or any OpenAI-compatible endpoint
- 3,000+ app connectors, plus MCP, OpenAPI, GraphQL and raw HTTP
Trade-offs
- SOC 2 Type I and Type II are both listed as in progress
- Managed cloud is $40/seat/month plus usage, so model costs sit on top
- Git, YAML and CLI-centred setup assumes engineering skills in the team
- Only one headline price is published; no tier breakdown on the page
Pricing
Published plans and prices from Kortix’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 Kortix 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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