kodo coordinates installed coding agents so developers can leave a defined task running for hours. It runs locally on macOS, Linux and Windows and is open source under the MIT license. It's aimed at work with a clear goal that can progress without frequent human decisions.
An orchestrator assigns implementation to workers and can call separate architect and tester agents to assess the results. Work spans multiple cycles and context windows, with automatic checkpoints and logs that let interrupted runs resume. Supported backends include Claude Code, Cursor, OpenAI Codex, Gemini CLI, Kimi and Kiro. Teams can mix backends and include specialist reviewers for areas such as security or interface design.
Alongside implementation, kodo has a testing mode that exercises user workflows and error cases, then writes regression tests and fixes confirmed bugs. Its code review mode examines unnecessary complexity, usability problems and architecture, fixes clear issues, and flags ambiguous findings for a decision. A live dashboard and log viewer help developers inspect ongoing and past runs.
Local orchestration doesn't mean local inference: kodo can coordinate through an installed CLI backend or use the Gemini or Anthropic API, which sends orchestrator requests to a cloud service. API use requires a key, and workers use their backend's account arrangements.
Verification has a concrete limit: the orchestrator decides when to request and accept review, so a success status doesn't enforce independent approval. Agents run with full permissions and can access files beyond the project directory.
Claim this page and we'll verify you by hand. kodo gets the verified badge, and you can upgrade the listing to be featured on localhosted. Proud to be listed? Put our badge on your site.
Want more people to find kodo?Promote it
Something wrong or outdated on this page?
106Updated 2 weeks ago
macOS · Windows · Linux · Web#Agent Skills#Code execution#Git integration
Albert coordinates Claude Code agents for developers who want to hand off a coding goal across several tasks. Its harness and dashboard run locally on Windows, macOS or Linux, and it requires an installed, signed-in Claude Code account. It assigns work to Haiku, Sonnet or Opus according to the task and continues until the goal is complete or it reaches a requested review checkpoint.
127.4KUpdated 15 hours agoApache-2.0
macOS · Windows · Linux#Code execution#Git integration#Human approval
403Updated 10 hours agoApache-2.0
macOS · Windows · Linux#Agent Skills#Code execution#Git integration
441Updated 3 months ago
Windows · Linux#Agent Skills#Code execution#Git integration
Foreman is a local terminal app for developers who want Claude Code agents to carry a feature through planning, implementation and verification. It runs against your repository, with human approval of design documents and the issue queue before autonomous coding begins. The Python project uses the MIT license and is tested on Linux and WSL2. Real agent work requires an authenticated Claude Code CLI.
371Updated 5 months ago
Docker#Agent Skills#Code execution#Git integration
cook coordinates Claude Code, Codex, and OpenCode so developers can give coding tasks repeated reviews or compare competing implementations. It runs as a CLI in a local terminal or CI environment, with a Claude Code skill also available. It requires Node.js and one of the supported coding agents.
712Updated 1 month ago
#Agent Skills#Code execution#Git integration
Pi Messenger connects Pi coding agent sessions working in separate terminals on the same project. It's for developers who want agents to share progress and divide work without editing over one another. Coordination runs through local files, with no separate server or background service.
Codex CLI is an open source coding assistant that runs on your computer and works with local repositories. It's for developers who want to explore code, make changes, and use their existing development tools from the terminal. It runs on macOS, Windows, and Linux under the Apache 2.0 license.
Liza coordinates coding agents through a software delivery workflow with separate authors and reviewers. It's for developers who want to delegate work from specifications through tested, documented code while retaining control over product decisions. Its Go supervisor enforces role boundaries, validation gates and merge authority in code, rather than relying entirely on agents to follow prompts.