KI-Agenten
mastra
Mastra is the modern TypeScript framework for AI-powered applications and agents.
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Anleitung ansehen →AdalFlow ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von SylphAI-Inc (SylphAI-Inc/AdalFlow auf GitHub). Es hat 4.223 Sterne auf GitHub und 388 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 29. Mai 2026 auf GitHub aktualisiert.
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…
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls AdalFlow nicht das Richtige ist.
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.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die AdalFlow bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.