langchain-a2a
AgentGitHubRuhendPython
A2A-compliant agent template built on LangChain's create_agent() with tool-calling. Define your tools, get a working A2A endpoint with agent discovery, task lifecycle, and JSON-RPC out of the box. Includes optional Qdrant vector store for RAG. Designed to interop with its companion langgraph-a2a template.
Herkunft der Beschreibung: Originalquelle
Gemessen: 20.10.2026 · 64 Beobachtungen
Bereiche & Einsatzzwecke
- Bereiche
- Agenten, Skills und MCP
- Einsatzzwecke
- Retrieval-Augmented Generation (RAG)
An der Quelle prüfen
Kompatibilität und Voraussetzungen in der offiziellen Dokumentation prüfen.
https://github.com/ThousandFacedHero/langchain-a2aKlassifikationen
- Art
- Werkzeug
Messverlauf
Vergleichbare Messwerte sind nach Signal und Einheit gruppiert.
Sterne
0Sterne · 20.10.2026
0seit 14.08.2026
Genaue Werte · 64 Messungen
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