AI·rete·RAG
Freemium
Teams needing deterministic rules plus RAG explanations
Prompt changes break quietly — a tweak you shipped last Thursday degraded recall by 12%, and you have no diff, no history, and no way to pin which version caused it. promptctl treats that gap as a first-class engineering problem.
promptctl is a CLI tool that brings Git-style versioning to LLM prompts: commit a prompt file, get a numbered version; diff two versions to see the exact text change; rollback to a previous version, which writes the revert as a new version rather than destroying history. The workflow maps directly to what engineers already do with code — commit, diff, rollback — so there is no new mental model to learn. The ceiling appears quickly: there is no hosted storage, no team sync, no API, and no integration with evaluation frameworks. Teams that outgrow local version history and need shared prompt state or automated regression testing will need to wire something else alongside it.
Bottom line: Pick promptctl when you need an audit trail for prompt changes on a solo or small-team project; plan a different system when multiple engineers need to share prompt state or gate deploys on eval scores.
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Freemium
Teams needing deterministic rules plus RAG explanations
Free · Open source
SOC and DevSecOps teams
promptctl is an open-source, self-hosted CLI tool written in Go that versions LLM prompts the way Git versions code. The core workflow is three commands: `promptctl commit` snapshots a prompt file with a message and assigns it an incremental version number, `promptctl diff` shows a line-level text diff between any two versions, and `promptctl rollback` reverts to a prior version — recording the rollback itself as a new version so history stays intact. Everything runs locally against files on disk.
The differentiating design choice is that rollbacks are non-destructive. When you revert `system` from v3 to v1, the result is saved as v4. That means the full edit history — including the revert decision and its commit message — is always recoverable, and you can audit why a version was abandoned, not just what it contained. The docs show that commit messages are first-class: the README example records `”reverting — citation hurt recall”` as a message on the rollback commit, which is the kind of annotation that makes debugging a prompt regression three weeks later something other than guesswork.
This tool fits a specific gap: the period between “prompts in f-strings scattered across the codebase” and “full prompt management platform with evals and deployment pipelines.” It is not a replacement for the latter. There is no API, no hosted backend, no team sync layer, and no connection to evaluation or monitoring systems. A team that needs multiple engineers to share a canonical prompt version, or that wants to gate a prompt change on automated benchmark results before it ships to production, will hit that ceiling fast — at which point promptctl becomes one piece of a larger system they have to assemble themselves.
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