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Achievement: StarstruckAchievement: YOLOAchievement: Pull Shark

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dattgoswami/README.md

Datt Goswami

End-to-end systems for autonomous agents — local inference, sandboxed execution, graph and replay memory, MCP, AP2, evals, and continual-learning loops.

  • General Intelligence
  • Ferrum Cloud The improvement loop that plugs into your coding agents and makes them get better over time — capture, replay, distill, share.
  • Free Weights Test-driven coding gym in your browser — TS/Python/Java/Rust, with an offline AI coach (small language model qwen) in your own browser(WebGPU).
  • Continual Intelligence A twelve-part illustrated essay series on the frontier of continual learning and reasoning (covering 600+ papers).
  • Harness Engineering A twelve-part illustrated field guide to building, evaluating, securing, and operating AI agents covering 300+ papers.
  • Agentic AI & LLM Systems — selected technical writing on coding agents and LLM systems.

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  1. cl-agent cl-agent Public

    Continual-learning substrate for coding agents(Codex, Pi, Hermes, aider, SWE-agent, OpenHands): episode capture, replay, skill distillation, evals, and SOAR/SFT loop.

    Python

  2. ferrum-stack ferrum-stack Public

    Agentic infrastructure for memory, evals, MCP tools, tracing, orchestration, and LLMOps.

  3. ferrum-agent ferrum-agent Public

    Multi-agent orchestration runtime for the Ferrum platform — planning, execution, review, memory, and human approval in one control plane

    Python

  4. ferrum-gateway ferrum-gateway Public

    A standalone service gateway for HTTP, LLM, MCP, and agent traffic, with routing, auth, limits, streaming, observability, token budgets, and tool policy built in.

    Rust

  5. ferrum-evals ferrum-evals Public

    CI and continual-learning evals for Ferrum agents

    Python

  6. ferrum-memory ferrum-memory Public

    Agent working-memory and prioritized experience replay buffer for the Ferrum platform — Qdrant hybrid retrieval, RL experience tuples, and dream-cycle consolidation for continual learning.

    Python