ИИ-агенты
mastra
Mastra is the modern TypeScript framework for AI-powered applications and agents.
★ 28,5 тыс. звёздUnknown
Смотреть руководство →AdalFlow — проект с открытым исходным кодом из категории «ИИ-агенты» от SylphAI-Inc (SylphAI-Inc/AdalFlow на GitHub). У него 4 223 звезды на GitHub и 388 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 29 мая 2026.
AdalFlow: The library to build & auto-optimize LLM applications.
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.
Machine learning is baked into the core workflow, not bolted on.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Download the source and move into the project folder.
git clone https://github.com/SylphAI-Inc/AdalFlow.git
cd AdalFlowEvery 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 SylphAI-Inc/AdalFlow with 388 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
Mastra is the modern TypeScript framework for AI-powered applications and agents.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute t…
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
Build voice-based LLM agents with a modular, open-source toolkit.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and…
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если AdalFlow 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 AdalFlow — продолжайте изучать полку по обе стороны от него.
ArcBox: a fast macOS-native container and VM runtime — a drop-in Docker engine with agent sandboxes
Excel MCP Server: let AI agents read, write, format, and chart real .xlsx workbooks — no Excel required
Monid — OpenRouter for agent tools: one base URL and one key give an agent 2,000+ tools across 72+ providers
Open-source, vision-first browser agent
Archestra: the enterprise AI platform — chat UI, LLM gateway, and MCP gateway with guardrails
Basic Memory: local-first MCP memory so you and your AI tools build a shared knowledge graph in Markdown
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.