ИИ-агенты
pest
The elegant testing framework for PHP developers and AI agents.
★ 11,7 тыс. звёздMIT
Смотреть руководство →pyspur — проект с открытым исходным кодом из категории «ИИ-агенты» от PySpur-Dev (PySpur-Dev/pyspur на GitHub). У него 5 798 звёзд на GitHub и 430 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 29 июня 2026.
A visual playground for agentic workflows: Iterate over your agents 10x faster
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Large language models drive its smartest features, locally or via API.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Download the source and move into the project folder.
git clone https://github.com/PySpur-Dev/pyspur.git
cd pyspurEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at PySpur-Dev/pyspur with 430 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
The elegant testing framework for PHP developers and AI agents.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic t…
Build production-ready agentic workflows from natural language — agents that operate browsers and computers.
Over a thousand tool integrations so agents can turn intent into action.
A visual all-in-one platform for building, debugging, and deploying AI agents.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если pyspur вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к pyspur — продолжайте изучать полку по обе стороны от него.
An MCP integration platform that lets AI agents use tools reliably at any scale.
A full-lifecycle platform for developing, debugging, evaluating and monitoring AI agents.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
A zero-code platform for auto-generating production-grade AI agents with unified tools, skills and memory.
Vercel's open framework for building agents that run anywhere.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.