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agenta

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doprompt, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot4.2k stars

552 forks · 102 contributors

Last verification date: 2026-06-21 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-21

What is agenta?

01

Quick decision

Use this section to decide whether the project is worth a deeper read.
Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityprompt, recipe, host_instruction, eval, preflight

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

RepositoryAgenta-AI/agenta

4.2k stars · 552 forks

02

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.
1

Overview

Related topics: Api

Source: https://github.com/Agenta-AI/agenta / Human Manual
2

Api

Related topics: Overview, Src

Source: https://github.com/Agenta-AI/agenta / Human Manual
3

Src

Related topics: Api, Src

Source: https://github.com/Agenta-AI/agenta / Human Manual
4

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records
5

Community Discussion Evidence

These external discussion links are review inputs, not standalone proof that the project is production-ready.

Source: Project Pack community evidence and pitfall evidence

Sources: https://github.com/Agenta-AI/agenta, Human Manual, Project Pack evidence, and downstream validation signals.

03

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.
Stars4.2k stars
Forks552 forks
Contributors102 contributors
Licenseunknown

Community Discussion Evidence

11 source-linked items

Review these external discussions before using agenta with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

04

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.
1

Try the prompt first

Test the workflow without installing the upstream project.

preview
2

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual
3

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context
4

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify
pip install agenta

Official start command · https://github.com/Agenta-AI/agenta#readme · verified: yes

05

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

agenta Manual

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

Open the full manual
  1. https://github.com/Agenta-AI/agenta Project Manual
  2. Table of Contents
  3. Overview
  4. Related Pages
  5. Repository Layout
  6. Frontend Architecture
  7. Module and Component Structure
  8. Entity Controller Pattern
1

Overview

Related topics: Api

Source: https://github.com/Agenta-AI/agenta / Human Manual
2

Api

Related topics: Overview, Src

Source: https://github.com/Agenta-AI/agenta / Human Manual
3

Src

Related topics: Api, Src

Source: https://github.com/Agenta-AI/agenta / Human Manual
4

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records
5

Community Discussion Evidence

These external discussion links are review inputs, not standalone proof that the project is production-ready.

Source: Project Pack community evidence and pitfall evidence

06

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual
BundleComplete Project PackAssetAI Context PackAssetBoundary & Risk CardAssetHuman ManualAssetPitfall LogAssetPrompt PreviewAssetQuick StartEvidenceREPO_INSPECTION.json

07

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

08

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.
medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.