@ruslapp

Schemas define shape. Rusl defines meaning. Living contracts for agents, teams & tools. Versioned. Annotated. Reviewable. GitHub for data contracts.

rusl.com
Joined May 2026
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ChatGPT can now subscribe to MCP events, but the spec is just prose. We turned it into JSON Schemas you can $REF: MCP core, the Events extension, and ChatGPT's profile, all on rusl. Tested against a real ChatGPT subscription. rusl.com/upstream/schemas/op…

Rusl — GitHub for data

Publish, version, and reuse schemas and annotations publicly or privately. Resolve the same definitions across applications, languages, teams, and coding agents.

rusl.com
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Without strong data contracts, agents keep re-inventing data shapes. It's easier for an agent to spew tokens into the file than it is to keep things consistent. The drift happens at each layer, and compounds too. 🧵
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When agents work with strong schemas, quality and consistency jump. The context on rusl provides a real feedback loop based on real usage.
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Does your application have duplicate shapes? rusl.com/d/prove-it

Map your data definitions.

Use your own coding agent to map the data shapes in your repository, cite where they live, and identify where a shared definition would help.

rusl.com
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Launching Rusl today — collaborative tooling for schema-driven design. Publish schemas. Review changes. Pin versions. Install them like dependencies. rusl.com
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Today's the day! Welcome to Rusl! Collaborate, discover, install data schemas. Or get your agent to. rusl.com

Rusl — GitHub for data

Publish, version, and reuse schemas and annotations publicly or privately. Resolve the same definitions across applications, languages, teams, and coding agents.

rusl.com
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MCP made schemas loadable by every agent. It didn't make them meaningful. Rusl is building the collaborative layer that actually fixes that.
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