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Achievement: StarstruckAchievement: YOLOAchievement: Pull Shark

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dattgoswami/README.md

Datt Goswami

End-to-end systems for autonomous coding agents — local inference, sandboxed execution, graph and replay memory, MCP, AP2, evals, 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. synapse synapse Public

    A Neo4j-inspired, in-memory property graph database in Rust, purpose-built for AI agents to record, recall, and reuse the steps they take toward a goal.

    Rust

  3. 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

  4. ap2-rust ap2-rust Public

    Production-shape Rust implementation of Agent Payments Protocol (AP2): canonical mandates, SD-JWT/dSD-JWT chains, JOSE crypto, A2A helpers, constraint verification, reference actors, and CLI demos.

    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