Was fehlt ohne openclaw multi-agent team
Single-Agent-Engpässe. Keine Spezialisierung. Ergebnisse ohne Peer-Review.
→
Forscher-Schreiber-Kritiker-Pipeline × event-basierte Übergaben ÷ 4-Stunden-Setup ÷ keine enge Kopplung = produktionsreife Ausgaben.
Sicherheitscheck — openclaw multi-agent team
Datenschutz-Score: 7/10 — greift nur auf verbundene Plattform-APIs zu.
Absichern: OAuth-Berechtigungen vor der Installation prüfen, OpenClaw ≥1.3; LLM API required; openclaw-supermemory recommended-Kompatibilität bestätigen.
Schnellstart — openclaw multi-agent team in 4–8 hours
Einrichtungszeit: 4–8 hours
!
Du brauchst:
- OpenClaw core ≥1.3
- LLM API (GPT-4o recommended for coordinator)
- openclaw-supermemory for shared context
Paket installieren:
npm install openclaw-openai
npm install openclaw-supermemory
# Create custom agent files per the AGENTS.md spec
1
Read AGENTS.md to understand the agent model
2
Define coordinator, researcher, writer, and critic agents
3
Wire inter-agent communication via ctx.broadcast()
4
Configure openclaw-supermemory as the shared context store
5
Trigger the pipeline with a task via your bot platform
6
Monitor agent interactions via Lobster
Kompatibilität & Status
Kompatibel mit: OpenClaw ≥1.3; LLM API required; openclaw-supermemory recommended
advanced
Zuletzt aktualisiert: Nov. 2025
MIT
Offizielle Dokumentation →
Auf GitHub ansehen →
FAQ — openclaw multi-agent team
How is this different from CrewAI?
It's built on OpenClaw's event system — agents communicate via events, not direct calls. Platform integration (sending results to Telegram, etc.) is native.
Can I add more agents?
Yes — add new agent files and broadcast events to include them in the pipeline.
What's the token cost?
Depends on task complexity; expect 10x the cost of a single-agent workflow.