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  • Zerolinear
  • Jakarta, Indonesia
  • 16:35 (UTC +07:00)

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Mftrferdinand/README.md

ZEROLINEAR

I'm Mahesa F. Ferdinand, an AI Systems Engineer and lead at Zerolinear. I build autonomous agentic AI systems, resilient LLM infrastructure, and self-hosted developer tools designed for reliability and control. Currently building Zeline — an open-source, model-agnostic agentic AI framework focused on tool orchestration, persistent memory, autonomous workflows, and multi-channel interaction.

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  1. Zeline Zeline Public

    Zeline — an open-source agentic AI framework developed by Zerolinear.

    Python 70 12

  2. Zeline-Eval Zeline-Eval Public

    Evaluation and benchmarking toolkit for Zeline agents — local-first, CLI-first, model-agnostic.

    Python 8

  3. Zeline-Trace Zeline-Trace Public

    Zeline trace viewer — agent run timeline, tool calls, tokens, cost

    JavaScript 8

  4. Zeline-Bench Zeline-Bench Public

    Performance benchmarking for AI agents — latency, throughput, cost, tool overhead, and memory

    Python 7

  5. Zeline-Gateway Zeline-Gateway Public

    Connection layer between Zeline Agent and where it's used — gateway adapters, session routing, auth, transport & streaming. Transport + routing only (no model/reasoning/skills/memory).

    Python 3