<div align="center"> <img src="https://www.reelier.com/avatar.svg" width="72" alt="Reelier" />

Reelier

Let your agents write. Keep the receipts.

Your agents worked all night. Here's exactly what changed.

Reelier records the run that worked, freezes it as a replayable skill, and replays it deterministically — every run comes back as a receipt: proof of what the agent did and what changed because of it. Agents make claims. Reelier writes receipts.

Website · Docs · SPEC.md

<img src="https://raw.githubusercontent.com/seldonframe/reelier/main/docs/assets/reelier-demo.gif" width="760" alt="Reelier: Dependabot bumps a dependency, Reelier replays your recorded agent run at 0 tokens and diffs it, catching the drift on the PR before you merge" />

_{<a href="https://www.reelier.com/reelier-explainer.mp4">▶ watch with sound (27s)</a>}

<a href="https://glama.ai/mcp/servers/seldonframe/reelier"><img width="380" height="200" src="https://glama.ai/mcp/servers/seldonframe/reelier/badge" alt="Reelier MCP server on Glama" /></a>

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Receipts on your agent PRs — install and done

Agent-authored PRs (Dependabot, Claude, Codex, Cursor, …) get a receipt comment in seconds: author, files changed, declared scope vs. what actually changed, sensitive paths flagged. No workflow file, no CLI, no config.

→ Install the Reelier receipts GitHub App — free on public repos, forever.

Reelier receipt — agent PR Author: dependabot[bot] · Files changed: 2 (+119 −41) Declared scope: none (add .reelier/scope.yml to enable unexpected-write detection) Sensitive paths touched: ⚠ 1 — package-lock.json Proves scope and change, not correctness

_{A real receipt from Reelier's own repos — see one live. Declare scope per agent in .reelier/scope.yml (or a <code>reelier-scope</code> block in the PR body) and the receipt reports unexpected writes. The receipt proves scope and change, never correctness or safety.}

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Why

AI agents are non-deterministic — the same prompt, a different result every run — and they'll claim they did the work whether they did or not. Reelier records the run that worked, replays it deterministically, and writes a signed receipt that proves it. Point it at your existing CI in one workflow — it adds a verifiable receipt, it doesn't replace your stack.

Measured on a real head-to-head benchmark, same task, same data (full method):

• 1,000 / 1,000 replays byte-identical
• Every replay ships a signed receipt — proof of what ran and what changed, never a claim
• 0 LLM calls at replay — deterministic re-execution, not re-reasoning

Deterministic replay is also ~50× cheaper and ~59× faster than re-running the agent, on the same benchmark.

Install

npm i -g reelier && reelier init

# No Node install needed — same commands via Docker:
docker run --rm ghcr.io/seldonframe/reelier --help

reelier init scans work you've already done (Claude Code, Codex, OpenClaw) into a real skill, or falls back to a zero-setup demo with a real receipt in unde