Created by an ex-GitHub, Microsoft & Twitch engineer

KLAUSSY

Run multiple repos. Mix any agents.
In one window.

The multi-agent workspace for professional engineers.

A desktop app for macOS, Windows, and Linux. Run multi-repo coding sessions with any mix of AI agents (Claude, Gemini, Copilot, Codex, Cursor, Cline) side-by-side. Review pull requests with AI, and get blazing-fast local autocomplete that never leaves your machine.

Trusted by engineers at

Microsoft GitHub Twitch Rad AI O'Reilly Media

Source-available under SUL 1.0. Free for personal use and development.
100% free for individual developers; paid license required only for commercial production/redistribution.

Need a different platform? All downloads ↓

Not sure if your Mac is Apple Silicon or Intel? Click the Apple menu → About This Mac. If the Chip row says “Apple M1/M2/M3/M4” you have Apple Silicon. If it says “Intel”, pick the Intel build.

Sessions, your shape.

Stack several on one repo, fan one across many repos, or run a mix of agents inside a single session.

Three sessions — A, B, and C — each pointing to the same repo, api.
Many sessions, one repo. Run parallel sessions on the same repo — a feature here, a hotfix there.
One session fanning out to three repos: api, web, and infra.
One session, many repos. Pull every repo a change touches into one session — same branch everywhere, side by side.
One session fanning out to three agents: Claude Code, Codex, and Gemini.
One session, many agents. Mix any number of agents in a session — Claude Code, Codex, Gemini, Copilot, Cursor, Cline — even different ones on the same repo.

What it does

Any agent, your choice

Run each session on Claude Code, OpenAI Codex, Google Gemini, GitHub Copilot, Cursor, or Cline. Pick a default, switch per terminal, or run the same session in two agents side by side.

Sessions, your way

A session is whatever you need — one repo or many. Pick the repos it touches (even straight from your recent GitHub repos, cloned on demand); each gets the same branch and its own worktree, with any number of agents you choose, even different ones side by side. Run several sessions at once — including more than one on the same repo — and resume any of them later with one click.

Repo-aware agents

On session start, Klaussy maps your repo — its conventions, rules, and import graph (fan-in/out, cycles, endpoint chains) — and gives your agents that context to draw on. Plan, review, debug, and implement runs ground their work in how your codebase fits together, not generic advice. Refreshes as the repo changes.

Auto-debug CI failures

Klaussy connects to your PR's CI; one click pulls the failing job's logs and your agent returns root cause + suggested fix, applied straight to the worktree.

Full PR review surface

Pull in any PR, read the diff with inline comments, run an AI review that breaks into per-finding cards — ignore, implement, or append to PR.

Plan · Debug · Review

Every worktree has a dropdown that spawns a dedicated agent tab running Klaussy's guided Plan flow, a Debug pass, or a multi-phase PR review — same worktree, no context loss.

Inline AI — locally

Tab-autocomplete powered by qwen2.5-coder via Ollama. ~100ms latency. No code leaves your laptop.

Agentic Git Hooks

Klaussy embeds autonomous agents directly into your local Git workflow. Built-in pre-commit and pre-push hooks run local agent checks over your staged diffs, auto-detecting correctness landmines, silent failures, leaked secrets, and debug leftovers. By automating the verification of your code, planning, and commits, Klaussy acts as a local guardrail ensuring your branch stays clean and stable.

Built-in editor

Monaco editor with LSP diagnostics. Edit and commit straight from the diff panel. AI-generated commit messages optional.

See it in action

One session, every repo, your pick of agents. Here a single session spans two repos side by side — OpenAI Codex on the left, Claude Code on the right — while Klaussy builds a conventions-aware CLAUDE.md so both agents work from your codebase's real structure.

Klaussy running one session across two repos: an OpenAI Codex terminal on the left, a Claude Code terminal in the middle, and a Changes panel on the right showing a freshly generated CLAUDE.md with the repo's architecture, API routes, and tech stack.

AI PR review: each finding is its own card with severity, file:line location, the offending code, and a written critique. Per-finding actions: Ignore, Add to PR, Implement, or open a chat to Ask or Investigate — all run on your selected agent.

The Review tab listing 24 findings as cards; the top one is a Blocker (Correctness) on src/hooks/useSpeechRecognition.js with a code block, a detailed written explanation, and a row of action buttons: Copy, Investigate, Ask, Ignore, Add to PR, and Implement.

Debugging a failing CI check: click Debug on the red row and your agent pulls the job logs, pinpoints the cause, and proposes a fix. Ask follow-ups in the chat, then click Fix this to have the agent apply it in the PR worktree.

Klaussy's Checks tab on a failing 'Lint, format, test, build' run, with a Debug panel showing the agent's analysis and a concrete patch, a follow-up chat composer, and 'Fix this' and 'Open as task' buttons.

The same check expanded to its annotations: every failure parsed out with its file:line, the test name, the error message, and stack frames — so you can see exactly what broke before sending the agent in to debug it.

Klaussy's Checks tab showing 10 annotations for a failing 'Lint, format, test, build' run: a Node.js 20 deprecation warning, a 'Process completed with exit code 1' failure, and several test failures in src/hooks/useSpeechRecognition.test.js each with a 'TypeError: () => mockRecognizer is not a constructor' message and expandable stack frames.

Review the full diff in-app: every changed file with add/remove counts, the unified diff, and inline comment threads you — or your agent — can reply to. The same surface you'd get on GitHub.

The Files tab of a pull request: the left rail lists 38 changed files with per-file plus/minus bars; the main pane shows the .github/workflows/ci.yml diff with an inline comment thread.

Any agent, plus a real editor. Run Claude, Codex, Gemini, Copilot, Cursor, or Cline in the terminal with a built-in Monaco editor and LSP diagnostics right beside it — edit, then commit from the diff panel.

Klaussy with a Gemini CLI session on the left and the built-in code editor open on api.ts — with a minimap and inline diagnostics — on the right.

What you need

  • macOS 12 (Monterey) or later — Apple Silicon or Intel — Windows 10/11, or Ubuntu 22.04+ (other modern Linux distros generally work).
  • At least one agent CLI or IDE extension installed and authenticated — Claude Code, OpenAI Codex, Google Gemini, GitHub Copilot, Cursor, or Cline. Klaussy orchestrates the agent you choose — it doesn't replace it.
  • GitHub CLI (gh) authenticated. Required for PR review features.
  • Ollama (optional). Only needed if you opt into local inline autocomplete. On macOS, Klaussy can install it via Homebrew; on Windows/Linux, install from ollama.com.

Enterprise & Partnerships

Bespoke AI development environments. Built for you.

Need a customized multi-agent coding environment? Our developer team and AI architect team partner directly with companies to build tailored enterprise solutions fitted exactly to your specific workflows, security guidelines, and internal APIs.

Tailored Environments

Extend Klaussy with integrations for your private repositories, internal tools, and proprietary developer systems.

Custom AI Orchestration

Work directly with our AI architects to set up customized multi-agent behaviors, custom model bindings, and security rules.

VPC & Secure Deployment

Host completely locally or inside your private cloud with strict data governance, custom LLM routing, and full security compliance.

FAQ

Does my code get sent to third parties?

When you use an agent, prompts + repo context go to that agent's provider via the CLI you already trust — Anthropic (Claude), OpenAI (Codex), Google (Gemini), GitHub (Copilot), Cursor, or Cline. GitHub operations go through your local gh. Inline autocomplete runs entirely locally via Ollama and qwen2.5-coder:1.5b — nothing per-keystroke leaves your machine. We don't run a server of our own.

Do I need a subscription for the agents?

You need whatever plan each agent CLI you use is configured for — Claude, Codex, Gemini, Copilot, Cursor, and Cline all run on your own accounts. Klaussy doesn't bill separately or charge for AI usage.

Which platforms are supported?

macOS 12+ (Apple Silicon and Intel), Windows 10/11, and Ubuntu 22.04+ (other modern Linux distros generally work). All builds are signed where the platform supports it.

Why the 2 GB download prompt for inline autocomplete?

~500 MB is Ollama's runtime; ~1 GB is the qwen2.5-coder:1.5b model weights. You only see this prompt if you opt in — otherwise a free word-based completer handles Tab.

What happens to my data if I uninstall?

On macOS, remove ~/Library/Application Support/Klaussy and ~/Library/Logs/Klaussy. On Windows, remove %APPDATA%\Klaussy. On Linux, remove ~/.config/Klaussy and ~/.local/share/Klaussy. Ollama and its models persist independently — uninstall it through your package manager and remove ~/.ollama.

Is this open source?

Klaussy Desktop is source-available under the Sustainable Use License (SUL 1.0). You can view, customize, and build the software from source for personal use or development. For custom enterprise integrations, self-hosting, or custom AI routing, contact our team to partner. The bundled open-source components are listed in About → Licenses.

What is the Sustainable Use License (SUL 1.0)?

The Sustainable Use License is a source-available license. It allows individuals and organizations to inspect, modify, and run the code for personal use or development. However, commercial production usage requires a separate agreement, and you cannot use the software to host a competing service.

How do I report a bug or request a feature?

Open an issue on GitHub, or drop it in the Discord. Both get read.

Get Klaussy.

macOS, Windows, Linux. Source-available under SUL 1.0 — free for personal use & development.

Download Klaussy macOS · Windows · Linux