For vendors
AdvertiseTop spots, featured rows, home sponsor Get listedAdd a product we don't cover yet Claim a listingFree: verify the domain, then correct your page Vendor dashboardNumbers, orders and placements
Mobile US PressList your app
Vendor dashboard

GEPA

No phone app

6.0No. 16 of 27
in AI Prompt Generators
  • Recognised40% of the score56
  • Phone app26% of the score0
  • Documented20% of the score44
  • Free plan14% of the score30
Free plan
No
Runs on
self-hosted
Visit site Alternatives

Summary

GEPA is ranked #16 of 27 in AI prompt generators on Samsung Mobile US Press. It runs on Self-hosted.

Compared on AI prompt generators

Model support
multiplegepa-ai.github.io
Optimization mode
automatedgepa-ai.github.io
Prompt testing
Yesgepa-ai.github.io
API access
Yesgepa-ai.github.io

Facts

What it does
GEPA is an LLM-based text evolution engine for optimizing prompts, code, configurations, agent architectures, policies, and other text-representable artifacts.gepa-ai.github.io · 4 Oct 2026
Optimization method
It uses execution traces and evaluator-provided diagnostic feedback to guide LLM reflection, targeted mutations, and Pareto-aware candidate selection.gepa-ai.github.io · 4 Oct 2026
Framework flexibility
The optimize_anything API can work with any system through a user-written evaluator, without requiring DSPy or another framework.gepa-ai.github.io · 4 Oct 2026
Integrations
The project lists integrations with DSPy, MLflow, Comet ML Opik, Pydantic AI, OpenAI Cookbook, Hugging Face Cookbook, and Google ADK.github.com · 4 Oct 2026
Built-in adapters
Built-in adapters include Default, Confidence, DSPy Full Program, Generic RAG, MCP, TerminalBench, AnyMaths, and LangChain adapters.github.com · 4 Oct 2026
Model access
GEPA can optimize API-only models including GPT, Claude, and Gemini without requiring access to model weights.gepa-ai.github.io · 4 Oct 2026
Interpretability
GEPA provides human-readable optimization traces that show why prompts changed and can help debug agent behavior.gepa-ai.github.io · 4 Oct 2026
Budget controls
Users can cap metric calls and configure timeout, no-improvement, score-threshold, signal, file, and composite stop conditions.gepa-ai.github.io · 4 Oct 2026
Data needs
The FAQ says GEPA can show improvements with as few as three examples and recommends aiming for 30–300 examples for best results.gepa-ai.github.io · 4 Oct 2026
Use cases
The project highlights expensive rollouts, scarce data, API-only models, and a need for interpretable traces as situations where GEPA can be useful.gepa-ai.github.io · 4 Oct 2026
Notable limitation
GEPA does not inherently optimize for short prompts; its prompts may be longer unless prompt length is included as an optimization objective.gepa-ai.github.io · 4 Oct 2026
Support
The FAQ directs users to Discord, Slack, GitHub Issues, and the project lead’s X account for questions.gepa-ai.github.io · 4 Oct 2026
Security and compliance
The opened official pages provide no security or compliance certification claims.gepa-ai.github.io · 4 Oct 2026
Maker and origin
GEPA is developed at UC Berkeley Sky Computing Lab through a research collaboration between UC Berkeley, MIT, Stanford, and Databricks.gepa-ai.github.io · 4 Oct 2026

Best GEPA alternatives

See all 20
Agenta No. 1 8.2 No phone app$29/moMLflow Prompt Optimization No. 2 8.0 No phone appFreeProofHound No. 3 7.9 No phone app$29/moPromptLayer No. 4 7.9 No phone app$49/moPromptEval No. 5 7.7 No phone app$9/moPromptitude No. 6 7.6 No phone app$39/mo

Where it ranks on Samsung Mobile US Press

Is GEPA yours?

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.

Claim it free Promote GEPA

Sources