Zeroshot
Open-source task automation and interactive agents for multi agent, agent loops, agent orchestration.
What does this agent do, and when should you use it?
The repository describes Zeroshot as: Your autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod because of non-negotiable feedback from independent reviewers. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI with trivial setup. This profile is a source-based catalog entry; an independent FARS review is still pending.
Your autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod because of non-negotiable feedback from independent reviewers. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI with trivial setup.
- Prototype a personal or team task-automation workflow.
- Test the documented interaction and tool-use model.
- Assess whether its deployment model fits local operations.
What are this agent's strengths and limitations?
- Public source and README are available for inspection.
- Focused on multi agent, agent loops, agent orchestration.
- Setup, model-provider support, and maturity must be confirmed against the current release.
- No independent FARS score has been assigned yet.
How do you install or deploy this agent?
Follow the current installation instructions in the [repository README](https://github.com/the-open-engine/zeroshot#readme). Requirements and provider setup vary by release.
How do you use this agent?
Start with the examples and quickstart in the [repository documentation](https://github.com/the-open-engine/zeroshot#readme), then test the workflow with limited permissions and non-sensitive data.