Freedom251 › AI Prompt Management Software
Apastra

What Apastra is
Apastra is a local-first framework for versioning prompts and evaluating agent instructions. Prompt specifications are YAML files with stable IDs, variable schemas, and output contracts that can be tracked in Git. Its regression checks compare evaluation results with baselines, while the framework validates evaluation evidence and recomputes scorecard means. Model calls run through a user-controlled adapter; Apastra does not include a production provider adapter, so users need to supply an executable harness. Optional GitHub Actions workflows support regression gating, promotion, and immutable releases, and the documentation names Claude, Cursor, Amp, and Codex as compatible IDE agents. Install by Git clone or npm, with setup actions governed by opt-in flags. It can operate without a hosted service, telemetry sink, hidden database, or CI infrastructure. Optional request logging is disabled by default, keeps complete request bodies locally, and offers rolling retention of seven days or 250 MB, which users can change. Apastra is free and open source under Apache-2.0; model and API usage may incur costs when evaluations run.
Who it suits
Apastra suits developers and platform teams who need to version prompts and check agent instructions. Its guide also identifies agents as part of its intended audience.
What it does well
- Version prompt specifications in Git.
- Compare evaluation results with baselines.
- Optional GitHub Actions workflows support release controls.
- Runs without a hosted service or CI infrastructure.
- Free and open source under Apache-2.0.
What to know first
- No production provider adapter is included.
- Users must supply an executable model-call harness.
- Model and API usage may incur costs.
Limits
The free framework does not include a production provider adapter, so users supply an executable harness. Model or API usage may incur costs when evaluations run.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Apastra | Apache-2.0 · local-first framework · model/API usage may incur costs when evaluations run | Free |
As github.com lists them, read 4 Oct 2026. The maker's own page has the final word.
Getting started
- Open the project website on GitHub.
- Install by cloning the Git repository or using npm.
- Use opt-in flags to control setup actions.
- Provide an executable harness for model calls.
- Optionally configure GitHub Actions workflows or request logging.
Verdict
Apastra brings prompt versioning and evaluation checks into a local-first workflow. Its main prerequisite is a user-supplied executable harness for model calls.
Questions
How much does Apastra cost?
The Apastra plan is free. Model or API usage may incur costs when evaluations run.
Is Apastra open source?
Yes. It is licensed under Apache-2.0.
Does Apastra include a free plan?
Yes. The listed Apastra plan is free.
What platforms does it support?
It is listed as self-hosted and can run without a hosted service.
Which agents are named as compatible?
The documentation names Claude, Cursor, Amp, and Codex as IDE agents that can run Apastra workflows.
How do users install it?
The README documents installation by Git clone or npm, with setup actions controlled by opt-in flags.
Facts from Apastra's own pages
- Agent compatibility
- The docs name Claude, Cursor, Amp, and Codex as IDE agents that can run Apastra workflows. · bintzgavin-apastra-14.mintlify.app, 4 Oct 2026
- Evaluation approach
- Apastra validates evaluation evidence and recomputes scorecard means, while a user-controlled adapter executes the model calls. · github.com, 4 Oct 2026
- Install options
- The README documents installation by Git clone or npm, with setup actions controlled by opt-in flags. · github.com, 4 Oct 2026
- Integrations
- The docs describe optional GitHub Actions workflows for regression gating, promotion, and immutable releases. · bintzgavin-apastra-14.mintlify.app, 4 Oct 2026
- License
- The project is licensed under Apache-2.0. · github.com, 4 Oct 2026
- Local-first design
- Apastra says it can run without a hosted service, telemetry sink, hidden database, or CI infrastructure. · github.com, 4 Oct 2026
- Logging retention
- The request-logging setup offers a rolling retention policy of seven days or 250 MB, which users can change. · github.com, 4 Oct 2026
- Model adapter limit
- The README says Apastra does not yet ship a production provider adapter, so users bring their own executable harness. · github.com, 4 Oct 2026
- Prompt versioning
- Prompt specs are YAML files with stable IDs, variable schemas, and output contracts that can be versioned in Git. · bintzgavin-apastra-14.mintlify.app, 4 Oct 2026
- Regression checks
- Apastra compares evaluation results with baselines to help catch quality regressions before shipping. · bintzgavin-apastra-14.mintlify.app, 4 Oct 2026
- Request logging
- Optional provider request logging stores complete request bodies locally; it is disabled by default and does not persist authentication headers or upload logs. · github.com, 4 Oct 2026
- What it does
- Apastra is a file-based PromptOps framework and skill pack for versioning prompts and evaluating agent instructions. · github.com, 4 Oct 2026
- Who it is for
- The getting-started guide identifies developers, platform teams, and agents as its audience. · github.com, 4 Oct 2026
Where Apastra stands on Freedom251
- AI Prompt Management Software#10 of 25