A workflow that allows you to plan upfront, approve once and forget the terminal. The agent builds through each milestone autonomously — a PR appears when it's done, not a question.
The standard coding agent conversation powered by our open source model orchestration. Interact more closely with the agent and stir it exactly in the direction you want.
On first run, kimchi setup detects existing Claude Code and OpenCode installations MCP servers, skills, configuration and offers to migrate in one prompt.
The orchestrator classifies each task and routes to the best model specialized sub-agents run security audits, tests, and analysis in isolated parallel contexts. Turn multi-model off to lock a single provider.
After each milestone, a high-reasoning model scores the output against the original intent catching regressions, half-done work, and silent failures before they compound. Use Opus, Kimi, or whatever model you trust most for the job.
Run /teleport to provision a persistent sandbox pre-loaded with your tools, skills, and agent state. Close the lid — the session keeps running. Reconnect via /sessions or VS Code Remote SSH.
All the power of the CLI harness but inside a visual kanban UI. Chat with an agent to set up tasks, then watch them run in parallel.
Spin up coding agents that run remotely in the cloud. Kick off long tasks from anywhere and pick up the results when they're done — no local machine required.
Coding-specific reports in the Kimchi console. Usage, cost, and performance broken down by user, tag, API key, and team not just aggregates, but the drill-down your finance team actually needs.
Use AI freely without worrying about runaway bills or end-of-month surprises. Define spend caps per API key, per user, per team, or across the whole org — and stay in control.
"We expected some savings switching to Kimchi coding agent. We didn't expect 12x. 62% of our token volume now costs what 12% used to."ANDREI TEMNEANU · IVOX.RO