Agents IA
mastra
Mastra is the modern TypeScript framework for AI-powered applications and agents.
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Voir le guide →AdalFlow est un projet de agents IA open source, créé par SylphAI-Inc (SylphAI-Inc/AdalFlow sur GitHub). Il compte 4 223 étoiles sur GitHub et 388 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 29 mai 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…
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si AdalFlow ne vous convient pas.
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.
Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de AdalFlow — continuez à explorer de part et d'autre.
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
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.