Entire
A checkpoint system for AI coding agents that pairs every Git commit with the full agent conversation that produced it, so teams can search, review, and resume work across Claude Code, Copilot, or Cursor.
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Description
If you use an AI coding assistant, you've probably lost track of *why* it made a change once the chat window closed — the code is in Git, but the reasoning behind it is gone. Entire fixes that by saving a snapshot of the agent's conversation every time it commits, a bit like Git blame but for the AI's train of thought instead of just the diff.
Under the hood, Entire is an open-source (MIT) Go binary that runs alongside any AI coding agent — Claude Code, GitHub Copilot, Cursor, Gemini, or Codex — and stores checkpoints locally, with automatic redaction of secrets before anything syncs. It's built by a team led by Thomas Dohmke (GitHub's former CEO) and backed by $60M in seed funding from Felicis, Madrona, and others, with a distributed Git network spanning US East, EU Central, and Australia for teams that need regional mirrors. The core idea is letting engineers pick up an agent's work exactly where it left off, including across different tools, without losing the intent behind each change.
💬 Our review
The short version: Entire solves a real, specific pain — AI agent sessions are ephemeral and their reasoning disappears the moment you close the tab — and it does it with a genuinely clean idea (checkpoint the conversation, not just the diff), backed by serious funding and a credible founding team.
There's no direct one-to-one competitor doing exactly this; the closest comparisons are general AI coding assistants like GitHub Copilot or Cursor, which focus on generating code rather than preserving the record of how it was generated. Entire is complementary to those tools rather than a replacement, which makes the pitch stronger but also means its value only shows up once a team is already deep into agent-driven workflows and has felt the pain of lost context. It's open source and free to self-host, so the cost of trying it is low; the main question is whether your team's process is mature enough to benefit from session-level auditability yet, or whether that's a problem you haven't hit.
💰 Pricing
📊 Global score
🤖 AI-enriched data
100% gratuit et open-source (licence MIT), auto-hébergeable. Pas de tarification commerciale publiée à ce stade.
Pros
Checkpoints liés à chaque commit Git, avec la conversation complète de l'agent
Open source (MIT), auto-hébergeable, zéro coût
Rédaction automatique des secrets avant toute synchronisation
Fondé par Thomas Dohmke (ex-CEO GitHub), 60M$ levés en seed
Cons
Pas un concurrent direct des agents eux-mêmes, un complément seulement
Valeur réelle seulement si l'équipe utilise déjà des agents IA en profondeur
Réseau Git distribué encore jeune (3 régions)
Pas de tarification commerciale claire si besoin d'un support managé