Entire records sessions.
Kleio remembers decisions.

Where Entire.io works well

• Open source (MIT) — fully inspectable, self-hostable, no vendor lock-in.
• Zero-config git hook — installs with one command and captures automatically.
• Sessions are stored in git history — no external database, no hosted service.
• Links AI agent sessions directly to the commits they produced.
• Works with Claude Code, Cursor, Gemini CLI, and more.

Where Entire.io breaks down

• Capture-only — no queryable memory. You can browse sessions but can't ask "what did we decide about auth?"
• Commit-scoped — misses decisions that span multiple sessions or PRs.
• Only captures AI sessions — human decisions made in meetings, Slack, or PRs are invisible.
• No backlog synthesis — captured context doesn't turn into actionable work items.
• No GitHub signal integration — reviews, CI results, and team discussions aren't connected.
• No deduplication or prioritization — every session is a raw recording, not structured memory.
• No team-level visibility — individual developer tool, not an organizational layer.

How Kleio is different

• Captures both human and AI decisions through MCP, CLI, and GitHub App.
• Queryable via kleio_ask — RAG-based retrieval grounded in your actual decision history.
• Work-item captures auto-synthesize into a prioritized, deduplicated backlog.
• Signal links connect decisions to PRs, commits, reviews, and CI results.
• Team-level visibility — decisions are shared across the workspace, not siloed per developer.
• Structured primitives (decisions, checkpoints, work items) vs raw session recordings.

Side-by-side

Better together or full replacement?

Different categories. Entire is a session recorder — it saves what happened during an AI coding session. Kleio is engineering memory — it structures, connects, and makes decisions queryable over time. If you need a raw transcript of an AI session, Entire works. If you need to answer "why does the codebase look this way?" months later, that’s Kleio.

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