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  • Copenhagen, Denmark
  • 10:55 (UTC +02:00)

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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. 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

  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. 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

  4. sublift sublift Public

    Python library for measuring what a subscription retention experiment was actually worth. Censored lifetime value over an explicit horizon, competing risks, and inference that stays valid when you …

    Python

  5. 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

  6. graphlock graphlock Public

    Catch LangGraph changes that break paused threads before you deploy them: a CI check, a scan of the stored threads a deploy would break, and migrations that repair them.

    Python