goon vs no-mistakes
Go-based AI workflow automation compared
goon is a self-hosted daemon and CLI for running software tasks and configurable workflows, while no-mistakes gates Git pushes through AI-assisted validation. goon covers ongoing task execution and integrations; no-mistakes focuses on checks, fixes, and PR preparation before changes reach a remote.
goon: Run Self-Hosted AI Workflows as a Daemon
goon is a Go-based, self-hosted daemon for running AI workflows, from software tasks and pull requests to scheduled reports and monitoring. It supports human approval through a web UI, terminal, or Telegram, with configurable workflow stages and persistent memory.
no-mistakes: Gate Git Pushes with AI Validation
no-mistakes intercepts Git pushes, runs an AI-driven validation pipeline in a disposable worktree, and forwards changes only after local checks pass. It is for developers and teams who want agent-assisted review and clean pull requests built into their push workflow.
| goon | no-mistakes | |
|---|---|---|
| Language | Go | Go |
| License | MIT | MIT |
| Stars | 3 | 8.8k |
| Forks | 0 | 958 |
| Last analyzed | Oct 17, 2026 | Oct 12, 2026 |
Key differences
- goon can poll Jira or GitHub Issues and run scheduled workflows; no-mistakes starts with a Git push sent to its gate.
- goon supports custom workflow stages, project memory, and approval through web, Telegram, or terminal; no-mistakes validates changes in a disposable worktree and offers a terminal UI.
- goon supports OpenAI, Anthropic, Gemini, and Ollama with per-role model routing; no-mistakes supports coding-agent options with ordered fallbacks, provided a pipeline agent is runnable.
- goon can run continuously as a daemon or handle one-off CLI tasks; no-mistakes is a local Git proxy and CLI for gating pushes.
- Both use Go and the MIT license; the provided facts list goon at 3 stars and 0 forks, and no-mistakes at 8.7k stars and 937 forks.
Choose goon if you…
- need a self-hosted worker for software tasks, scheduled automations, or custom workflows.
- want Jira or GitHub Issues intake, persistent local project memory, and multiple approval interfaces.
- want to route different workflow roles across supported LLM providers.
Choose no-mistakes if you…
- want to validate Git changes before forwarding them to a configured remote.
- need checks and AI-assisted fixes to run in a disposable worktree, away from your original working tree.
- want a gated push flow that can also open a PR and monitor CI.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.