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prompt-versioning 开源项目推荐(40 个)
prompt-versioning 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 40 个仓库A Laravel package for versioned AI prompt management with variable interpolation, performance tracking & A/B testing.
🚀 Production-ready template for building AI applications with Pydantic AI, FastAPI, PostgreSQL, Redis, LiteLLM, and comprehensive monitoring. Includes admin panel, CI/CD, testing, and observability out of the box.
Open-source LLMOps platform with prompt management, an OpenAI-compatible AI gateway, OpenTelemetry tracing, a versioned tool catalog, and LLM evaluation. Use hosted or self-host with TypeScript and Python SDKs.
PromptLane is an open-source platform for managing and versioning AI prompts. Built with FastAPI, it provides a robust API for prompt management, project organization, and seamless integration with your AI applications.
Self-hosted prompt library and template editor with an MCP server for ChatGPT. Save prompts as sections with {{variables}}, version them, and bring your own LLM provider. FastAPI + Next.js, Apache-2.0.
Using jinja to build prompts for LLMs and sqlite for prompt versioning
A comprehensive developer-first prompt management tool with git-like version control
Plataforma para operar agentes de IA em produção: agentes, times multi-agente e workflows versionados com rollback, RAG com pgvector, ferramentas via MCP, guardrails e analytics de latência e custo.
Open-source platform for managing, versioning, and AI-enhancing LLM prompts across teams
Prompt-and-Tag is a tool designed to enhance AI-assisted development by seamlessly integrating your codebase with Large Language Models (LLMs). It creates synchronized snapshots of your code, making it easier to maintain context in AI conversations.
Open-source, self-hostable AI cost & workflow observability. Find the prompt, customer, model, and workflow path behind every LLM cost spike — without a proxy.
Promptify — self-hosted prompt manager with MCP, REST API and web UI
curl for prompts. Run .prompt files against any LLM (Anthropic, OpenAI, Ollama) from the terminal. Treat prompts as code — version them, review them in PRs, and test them in CI.
A prompt management & model selection platform for LLM engineering. Compare multiple models side-by-side, debug prompts, and find the best model for your use case.
Python foundation for LLM apps whose prompts and spend you can actually see — versioned prompts, every call recorded and replayable, budgets, evals, jobs.
Diff two LLM prompts at text, semantic, and behavioural levels. Detects changes to persona, constraints, output format, and safety guardrails. CI-ready exit codes. Zero mandatory dependencies.
Automated prompt optimization using mentor-agent architecture. Generate and refine prompts from labeled data.
Embedded-first, storage-portable, immutable-versioned config primitive with an eval-gate coupled to promote, over an arbitrary payload T. Packages: core + prompt-store + scaffold-store.
LLMs as production extraction infrastructure: rule-vs-LLM triage, validated structured outputs, cost-capped model routing, a measured precision/recall eval + vendor-drift detection, entity resolution, and an Airflow 3 ETL DAG. Runs fully offline.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/prompt-versioning。
- 该话题在 GitHub 上共有 40 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4918 Star,覆盖 6 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。