Entire
entire.io- Category
- Developer Tools
- Rank
- No. 893Tools index
Previous survey · No. 882 ·
- Pricing
- Freemium
- Platform
- web
- Type
- APP
- Builder
- @entireio
- GitHub
- 5.1k stars
- Latest release
- v0.10.7-nightly.202609160626.21155beb4
- Date
About
A new developer platform that enables collaboration between AI agents and human developers. It goes beyond traditional repositories to create an integrated environment for building and growing software projects.
What it does
Entire is a Git-aware command-line recorder for AI-assisted coding sessions. Repository and agent hooks capture prompts, responses, tool activity, touched files, and token usage. Commits turn that material into checkpoints linked to your code while storing the metadata on a separate Git branch. You can inspect, explain, resume, and search earlier sessions.
Why it's ranked here
The design solves a real traceability problem without inserting generated commits into working branches. Broad agent support, worktree isolation, resumable sessions, and layered redaction make it unusually practical. The verdict is still mixed for sensitive or heavily concurrent repositories because transcripts remain repository-visible, attribution is estimated, and documented Git edge cases can disrupt worktree indexes.
What's good
Entire keeps code history readable while preserving the reasoning behind changes. It supports Claude Code, Codex, Gemini CLI, OpenCode, Cursor, Factory AI Droid, Copilot CLI, and Pi. Separate worktrees receive independent tracking. Secret detection always runs before transcript metadata becomes a Git object, with optional personal-data filtering. Headless systems can use file-backed credentials, while automation can inject credentials without writing them to disk.
Tradeoffs
Anyone with repository access can read stored prompts, responses, file contents exposed through tools, and other session metadata. Public repositories expose that history publicly. Temporary shadow branches contain raw working-tree snapshots, so hardcoded secrets can remain unredacted there. Git auto-cleanup can corrupt worktree indexes and lose staged state in a documented failure mode. Concurrent sessions in one directory may create irrelevant checkpoints. Authorship percentages rely on file-level line-diff heuristics, not exact provenance.
How to use it well
Use Entire when a team commits AI-assisted work regularly and needs explanations, recovery points, onboarding context, or audit trails tied to Git. Commit at meaningful boundaries, use separate worktrees for concurrent sessions, and review privacy settings before pushing checkpoint metadata. Keep secrets out of source files and enable optional personal-data filtering where appropriate. Treat attribution as informative context, not authoritative authorship accounting.
Technical notes+
README.md describes the Cobra-based entire CLI, Git and agent hook installation, manual-commit checkpointing, and metadata storage on entire/checkpoints/v1. go.mod declares module github.com/entireio/cli, Go 1.26.5, Bubble Tea terminal dependencies, go-git, keyring support, Betterleaks, and Testify. docs/security-and-privacy.md documents six mandatory secret passes, optional PII rules, optional OPF processing in the pre-push hook, fail-closed OPF errors, and unredacted code snapshots on temporary shadow branches. docs/KNOWN_LIMITATIONS.md records amend-trailer behavior, worktree index corruption from Git GC, and spurious checkpoints from concurrent ACTIVE sessions. docs/architecture/attribution.md explains the selected per-file pool heuristic. docs/architecture/review-command.md describes an experimental profile-driven review runner with concurrent reviewers, an optional judge, managed worktrees, and local or trail output.
Observed
- Primary language
- Go, declared by the repository module configuration.
- Interface
- Command-line application with Git hooks and supported-agent lifecycle hooks.
- Installation
- Homebrew and install script on macOS and Linux, Scoop on Windows, or manual Go installation.
- Platform support
- macOS, Linux, and Windows.
- Checkpoint storage
- Session metadata is committed to a dedicated Git branch separate from working branches.
- Authentication
- OS keyring by default, file-backed storage for headless systems, or per-invocation token injection for automation.
Read from README.md, go.mod, docs/KNOWN_LIMITATIONS.md, docs/security-and-privacy.md, docs/first-time-contributors.md, docs/install-provenance-plan.md, docs/architecture/logging.md, docs/architecture/agent-guide.md, docs/architecture/attribution.md, docs/architecture/review-command.md, docs/testing/git-remote-test-plan.md.
What it can do
Enable collaboration between AI agents and human developers
Development project and team members → Collaborative development environment
Create integrated development environment
Software project requirements → Unified development workspace
Manage software project repositories
Code files and project assets → Organized project structure
Facilitate AI agent integration in development workflow
Development tasks and AI agent capabilities → Automated development assistance
Build software projects collaboratively
Project specifications and team contributions → Developed software application
Scale software project development
Growing project requirements → Expanded and maintained codebase
Intel on Entire
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.