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Focusing
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Focusing
2 followers · 3 following
  • Copenhagen, Denmark
  • 03:01 (UTC +01:00)

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Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Pair Extraordinaire

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devjoinedthechat/README.md

Agent systems are running into problems I recognise: exactly-once effects, ordering under retry, durable state across restarts. I don't think anyone has clean answers yet, mine included — the repos here are attempts at pieces of it.

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  1. ballast ballast Public

    Version control for what a model has learned. Ballast stores weight deltas as content-addressed blocks, records merges as views over their inputs, and deletes with a proof.

    Python

  2. natsacl natsacl Public

    Least-privilege NATS permissions compiled from your TypeScript: one broker user per service, a CI drift gate, and JetStream consumer filters verified against your streams.

    TypeScript

  3. nodrift nodrift Public

    Verify that deployed smart contract state (owners, roles, proxy implementations, storage slots and parameters) matches a YAML config. Drift detection for EVM chains, built for CI.

    TypeScript

  4. lashing lashing Public

    MCP server that lets AI agents book and track container shipments through the DCSA open standards, with every write validated, authorized and logged.

    Python

  5. punchin punchin Public

    Fork a recorded voice-agent call at the turn it went wrong. Punchin replays the prefix for free and runs the rest live against a customer pinned to what the real one wanted, knew and asked for.

    Python

  6. proofdesk proofdesk Public

    Production-grade AI support agent that issues refunds and changes plans itself: delegated identity, policy as code, durable execution, MCP tools, RAG and evals. Every claim is backed by a test that…

    TypeScript