
Kortix
by Suna · Open-source AI agent platform run from a git repo you own
72.7 — BenchRank score out of 100
Screenshots of Kortix
Homepage Pricing page
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
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 80 out of 100
- API quality
- 25 out of 100
- Documentation
- 65 out of 100
- Agent friendliness
- 100 out of 100
- Pricing transparency
- 100 out of 100
- Changelog
- 100 out of 100
- Marketing site structure
- 75 out of 100
- Operational trust
- 60 out of 100
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
- 55 out of 100
- Maintenance
- 100 out of 100
This doesn’t look right — report a problem with Kortix’s score
Alternatives in AI Development Platforms
Ranked 1
84.6 — BenchRank score out of 100Mem0
Mem0 · Hosted memory layer for AI agents, with Python and Node SDKs
Best for: Developer teams adding persistent memory to AI agents through a hosted API, with a free tier
Ranked 2
84 — BenchRank score out of 100Nango
Nango · Code-first integration platform covering 900+ APIs
Best for: Product teams building many third-party API integrations into a SaaS product or AI agent
Ranked 3
82.4 — BenchRank score out of 100Supermemory
Supermemory · Memory and retrieval layer for AI agents
Best for: Developers giving AI agents persistent memory and retrieval through a single hosted API.


