#multiagent — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #multiagent, aggregated by home.social.
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🤖 swarmclawai/swarmclaw
Runs self-hosted autonomous AI agent swarms with memory delegation and 23+ LLM providers as a Claude Code alternative
⭐ Stars: 622
📅 Last Update: Jul 23, 2026https://github.com/swarmclawai/swarmclaw
#selfhosted #homelab #selfhost #selfhosting #opensource #aiagents #multiagent
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What I Learned from Reimplementing 40 Multi-Agent LLM Papers
Comments: https://news.ycombinator.com/item?id=48936658
#HackerNews #multiagent #LLMs #machinelearning #research #insights #papers #reimplementation
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What I Learned from Reimplementing 40 Multi-Agent LLM Papers
Comments: https://news.ycombinator.com/item?id=48936658
#HackerNews #multiagent #LLMs #machinelearning #research #insights #papers #reimplementation
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Langflow is a powerful platform for building and deploying AI-powered agents and workflows.
It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack.
Highlight features
- Visual builder interface to quickly get started and iterate.
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability. -
Langflow is a powerful platform for building and deploying AI-powered agents and workflows.
It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack.
Highlight features
- Visual builder interface to quickly get started and iterate.
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.https://github.com/langflow-ai/langflow
ai-coding agent langflow
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Agentic AI isn’t won by smarter prompts—it’s won by resilient collaboration structures. From ESA’s ERS work on Talk2Earth to Koenigstein’s “prompting fallacy”: you can’t prompt your way out of system-level failures. Which multi-agent pattern fits your flow—and when to go hybrid? #AgenticAI #MultiAgent #SystemDesign #EOdata #ESA
https://www.datentreiber.com/blog/designing-effective-multi-agent-architectures/ -
RT @SakanaAILabs: Wir präsentieren Sakana Fugu: Ein vollständiges System zur Multi-Agent-Orchestrierung, das über eine einzelne Modell-API zugänglich ist. Unser „Fugu Ultra“-Modell erreicht die Leistung von Fable und Mythos und bietet Spitzenleistung ohne das Risiko von Exportkontrollen. Probieren Sie es aus: https://sakana.ai/fugu 🐡
mehr auf Arint.info
#Exportfreiheit #FrontierAI #FuguUltra #KIOrchestrierung #MultiAgent #SakanaFugu #arint_info