面向生产环境 LLM 与智能体系统的 AI 可观测性平台。

pydantic-ai 开源项目推荐(834 个)
pydantic-ai 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 834 个仓库the terminal client for LLMs
全栈AI应用生成器- FastAPI + Next.js,具有AI Agents、RAG、流媒体、身份验证和20多个开箱即用集成。
用于 AI 可观测性的 OpenTelemetry 插桩
Learn harness engineering by building Claude Code from scratch. Free, open-source course: 8 articles, 6 videos, 1 codebase.
开源、自托管的Claude Code --一个终端AI助手及其背后的Python框架。工具调用、沙箱执行、多智能体团队、技能、检查点、无限上下文--在Pydantic AI上,任何模型。
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
Unlock 650+ MCP servers tools in your favorite agentic framework.
该软件包实现了Pydantic AI的代理技能(https://agentskills.io)支持,并实现渐进披露。支持文件系统和程序技能。
Instill trust in your agent evals.
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
Open-source, self-hosted AI agent platform for your company's AI teammates. Build, run and govern agents on your own servers and models: shared chat, RAG, skills, a real browser, 4,700+ MCP servers, budgets, approvals and an audit trail. An alternative to ChatGPT Enterprise and Grok Bot. Apache-2.0, built on Pydantic AI.
A unified agent orchestration hub that lets you configure and manage multiple AI agents (native, ACP, AGUI, Claude Code) via YAML, and exposes them through standardized protocols (ACP/OpenCode Server).
AI-powered synthetic data generation — structured tables, unstructured documents, multi-provider LLM support, referential integrity, and code-gen mode for millions of rows
Arrest is a small utility to easily structure and validate your REST api calls using pydantic and httpx
🐮 Build distributed, event-driven agents
A production-ready FastAPI platform with modular components and a built-in control plane.
🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.
File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.
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/pydantic-ai。
- 该话题在 GitHub 上共有 834 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 1.7 万 Star,覆盖 2 种主要语言,数据更新于 2026-11-11。
- 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。