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@Inferensys

Inferensys

Inferensys designs AI systems around your data, tools, and operations, from AI data retrieval and RAG to AI agents, workflow automation, enterprise AI go

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  1. apollo-io-mcp apollo-io-mcp Public

    MCP server for Apollo.io, search leads, enrich contacts, manage sequences & CRM from Claude Code, Cursor, or any MCP client. 27 tools covering the full Apollo.io API.

    TypeScript 1 2

  2. stallion stallion Public

    Multi-agent orchestration app with planning, task graphs, sandboxed execution, live agent activity, and workspace inspection.

    TypeScript 1

  3. product-ai-actions-kit product-ai-actions-kit Public

    Reference patterns for in-product AI assistants with typed actions, approval gates, and append-only audit trails.

    Python

  4. multimodal-doc-intake-kit multimodal-doc-intake-kit Public

    Schema-first document ingestion reference with layout-aware normalization, review queues, and provenance-preserving chunks.

    Python

  5. browser-task-copilot browser-task-copilot Public

    Guarded browser task control plane with Azure-backed action planning, YAML policy evaluation, approval checkpoints, and replay timelines.

    Python

  6. realtime-voice-agent-starter realtime-voice-agent-starter Public

    TypeScript starter kit for production voice agents: WebRTC, telephony, realtime model APIs, STT/TTS pipelines, barge-in, handoff, evals, and post-call workflows.

    TypeScript

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