Show HN: Frontier model pricing became a rip-off, so I built an open-source CLI Kolega Code, an open-source CLI tool for multi-agent coding in the terminal, has been released by developer Kolega AI. The tool features Gigacode orchestration that fans out specialized sub-agents for parallel work, supports model routing, web search, browser automation, and MCP servers, and keeps all state local. It is available via curl or uv/pip install. Multi-agent coding in the terminal. Kolega Code is a local-first terminal coding agent built for work that is too wide for one loop: fan out specialized sub-agents with Gigacode , route different models to different jobs, search the web, drive a browser, and keep sessions, settings, permissions, and credentials on your machine. Most terminal agents are strongest when one model can reason through one task at a time. Kolega Code keeps that familiar workflow, then adds orchestration for broad work: large audits, sweeping migrations, cross-file checks, adversarial reviews, and implementation plans whose pieces can run independently. With Gigacode https://kolega-ai.github.io/kolega-code/gigacode/ , Kolega Code can: Fan out many sub-agents at once. Split a wide codebase review by package, assign independent implementation tasks, or run checks across many directories in parallel. Use real workflow shapes. The agent can generate parallel phases, pipelines, loops, judge panels, and synthesis steps instead of only delegating one task at a time. Keep orchestration visible. Workflow phase headers and progress lines appear in the transcript; the sub-agent inspector shows each agent's live trajectory. Save inspectable artifacts. Each run keeps the generated workflow script, result files, a Markdown transcript, raw JSONL, a resume journal, and debug sub-agent transcripts under Kolega Code's state directory. Run in either mode. In Plan mode, workflow sub-agents stay read-only for parallel investigation. In Build mode, they can use the full coding toolset. Resume interrupted runs. Finished workflow steps are journaled so a deliberate resume does not have to restart the whole fan-out. Use normal chat for focused changes. Turn on Gigacode when the problem is broad enough that one serial agent pass would be the bottleneck. Gigacode orchestration: parallel, pipelined, looped, judged, and synthesized multi-agent workflows with saved artifacts and resume support. Specialized sub-agents: planning, building/coder, investigation, general, and browser agents, with live activity tracking in the TUI. Repo tools: read and search code, create files, apply precise edits, and inspect session changes/diffs. Terminal execution: run shell commands with streamed output and project-level permission controls. Plan/build workflow: use read-only Plan mode for investigation and a reviewable task list, then Build mode to implement. Web search and browsing: DuckDuckGo works by default with no key; Firecrawl, Tavily, and SearXNG are configurable search backends. Kolega Code can also fetch URLs directly and use a Playwright-powered browser agent for interactive sites. MCP servers: connect verified streamable http , sse , and stdio MCP servers including OAuth-enabled HTTP servers as permission-gated tools. Model routing: choose provider/model combinations, set thinking effort, split long-context/fast/thinking roles, and override models per agent role. Interactive or scriptable: use the Textual TUI, queue follow-up prompts while the agent is working, run kolega-code ask , request JSON output, list/export/resume sessions, and diagnose setup with doctor . Extensibility: add agent skills, override prompts with project templates, run lifecycle hooks, and persist project permission rules. Local-first state: sessions, settings, permissions, OAuth tokens, and API-key settings stay on your machine with restrictive permissions where applicable. 1. Install with the script: curl -fsSL https://kolega.dev/install-kolega-code.sh | sh Or with uv https://docs.astral.sh/uv/ or pip : uv tool install kolega-code or: pip install kolega-code Verify the install: kolega-code --version 2. Start a session in your project: kolega-code . 3. Connect a model. Complete the first-run wizard with ChatGPT sign-in or an API key. Later, open the categorized Settings screen from the sidebar or with /settings . Use Shift+Tab to switch between Plan and Build mode, or run /gigacode on when a task is broad enough for fan-out. Resume a previous conversation: kolega-code . --resume latest session kolega-code . --resume