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caura-ai / memclaw-cross-fleet-gov

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Multi-agent memory governance demo using MemClaw + OpenClaw. Three agents (Sales, Legal, Admin) share one memory backend with hard fleet boundaries enforced at the query layer. Shows scoped writes, blocked recall, cross-fleet synthesis, and conflict detection.

memory multi-agent ai-agents llm agent-memory context-sharing memory-governance agent-fleet openclaw cross-agent-memory memclaw fleet-isolation
  • Updated May 20, 2026
  • PowerShell

AdityaTak77 / AI-Travel-Planner

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Our planner has context sharing,in process MCP tool integration,structured output using pydantic(md,json), Task monitoring & Logging using callback functions, A2A protocol and used interoperability - e.g. one agent defined using ADK another using CrewAI.

markdown json mcp interoperability callback-functions adk structured-output pydantic monitoring-logs crewai agentic-framework agentic-ai generative-ai-agents a2a-protocol context-sharing
  • Updated Nov 18, 2025
  • Python

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