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  1. wiki-recall wiki-recall Public

    Compiled knowledge meets layered recall. Karpathy wiki + MemPalace memory layers. 5-layer architecture, ~550 tokens to wake up. 1,060 tests.

    TypeScript 2

  2. a2a-crews a2a-crews Public

    Turn one command into a team of AI agents. Built on Google's A2A protocol.

    TypeScript 2

  3. microsoft/conductor microsoft/conductor Public

    A CLI tool for defining and running multi-agent workflows with the GitHub Copilot SDK and Anthropic Agents SDK.

    Python 48 5

  4. rag-a2a rag-a2a Public

    Production-grade RAG pipeline exposed as an A2A agent. Hybrid search, reranking, evaluation, streaming — the knowledge layer for multi-agent systems.

    TypeScript

  5. agent-traps-lab agent-traps-lab Public

    Empirical testbed for DeepMind's AI Agent Traps paper — 22 adversarial scenarios, 4 models, 3,480 experiments

    TypeScript

  6. ag-ui-crews ag-ui-crews Public

    Real-time dashboard for a2a-crews — built on the AG-UI protocol. Watch your AI agent crews plan, execute, and deliver in a live web UI.

    TypeScript 1