cli is an agent orchestration repository at entireio/cli; maintainers describe it as: Entire CLI hooks into your Git workflow to capture AI agent sessions as you work. Sessions are indexed alongside commits, creating a searchable record of how code was written in your repo. Its recorded primary language is Go. License metadata lists MIT. GitHub metadata shows about 4,457 stars. The project homepage is https://entire.io.
License
MIT
Stars
4,594
Homepage
https://entire.io/Features
- Recorded summary for cli: Entire CLI hooks into your Git workflow to capture AI agent sessions as you work. Sessions are indexed alongside commits, creating a searchable record of how code was written in your repo.
- cli uses Go as its recorded primary language, which helps with stack-fit review.
- cli helps evaluate coordination, planning, or task-decomposition patterns in agent systems.
- cli supports investigation of retrieval, embedding, or knowledge-grounded application flows.
- cli can inform repeatable automation, scheduled execution, or operations workflow design.
- cli lists MIT license metadata; review obligations before redistribution or hosted use.
Use Cases
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for cross-system process automation and operations efficiency
- Build internal AI workflow prototypes with cli
- Validate cli in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
FAQ
Start from the repository summary (Entire CLI hooks into your Git workflow to capture AI agent sessions as you work. Sessions are indexed alongside commits, creating a searchable record of how code was written in your repo.), then verify maintenance status, integration boundaries, and whether its agent orchestration, retrieval and knowledge workflows, workflow automation focus matches the intended workflow. Repository: https://github.com/entireio/cli. Stars: about 4,457. License: MIT. Language: Go.
cli is best treated as a repository-level component or reference implementation for agent orchestration, retrieval and knowledge workflows, workflow automation. Good evaluation scenarios include: Evaluate cli when the need is agent orchestration and the repo summary matches: Entire CLI hooks into your Git workflow to capture AI agent sessions as you work. Sessi... Compare the Go implementation in cli before choosing a similar internal architecture. Use cli to test agent coordination patterns with a concrete open-source codebase.
