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dattgoswami/README.md

Datt Goswami

Building agentic infrastructure for coding agents: replay memory, evals, MCP tooling, and continual-learning loops.

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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. axon axon Public

    Async Rust LLM inference server with Candle, dynamic batching, SSE streaming, Metal/CUDA/CPU fallback, and TurboQuant-style KV-cache compression.

    Rust 1

  3. forge-core forge-core Public

    Framework-agnostic core for SWE agents: shared tools, schemas, guardrails, sandboxing, evals, and adapters for major agent SDKs.

    Python

  4. ferrum-mcp ferrum-mcp Public

    Coding-first Rust MCP server providing safe workspace-scoped file, test, git, and optional crypto/DeFi/memory tools for AI agents.

    Rust

  5. secure-agent-runner secure-agent-runner Public

    Standalone execution plane for coding agents: policy-checked commands, workspace snapshots, capped output/artifacts, replayable results, local backend today, Firecracker-ready design.

    Rust

  6. 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