Kortix
Free tierThe AI Command Center for Your Company
Key strengths
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Recent changes
- Plans updated: Free tier: $0/month with 500 credits/month, 1 project, no credit card required. Credits tier: $200/month for 20,000 credits (~1,830 agent-computer hours), unlimited members, unused credits roll over one month. Enterprise: custom pricing with SAML SSO, RBAC, VPC/on-prem, SLA. 1 credit = $0.01; 11 credits = 1 hour of agent compute (2 vCPU / 4 GB / 20 GB).
- Models updated: Model-agnostic: supports Anthropic Claude, OpenAI, Google Gemini, DeepSeek, GLM, and any OpenAI-compatible endpoint; bring your own API key or ChatGPT subscription
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Kortix — Technical Use Cases
1. Automated Engineering Workflows
Connect Kortix to GitHub via its native integration to trigger agents on pull requests, issues, or CI events. Agents run in isolated Linux sandboxes, execute code, and report back — all without shared state between sessions.
2. Cross-System Data Pipelines for Data Science
Use OpenAPI, GraphQL, or raw HTTP integrations to pull data from internal and external APIs. Agents can process, transform, and route data across systems — orchestrated from a single git repo your team owns and versions.
3. IT Automation & Infrastructure Ops
Leverage the CLI and API/SDK to embed Kortix agents into existing scripts, CI/CD pipelines, or infrastructure-as-code workflows. Deploy on VPC or on-prem for full network isolation.
4. Multi-Model Agent Orchestration
Run different agents on different LLM backends simultaneously — e.g., Anthropic Claude for reasoning tasks and a self-hosted OpenAI-compatible endpoint for internal tools — all managed from one platform without re-architecting.
5. Enterprise Security & Compliance Workflows
For regulated environments, deploy Kortix with SAML SSO, RBAC, and VPC/on-prem options (Enterprise tier). Agents operate in per-session isolated sandboxes, limiting blast radius and supporting audit requirements.
6. Slack & Teams Bot Automation
Expose agents directly in Slack or Microsoft Teams channels. Use the API/SDK to programmatically register agents, define triggers, and handle responses — enabling conversational interfaces over complex backend workflows.