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Smeldr introduces typed content and enforced state machines for AI agents

By PulseAugur Editorial · [1 sources] ·

Smeldr is a new system designed to bring structure and enforcement to content management for human users in browsers, building upon concepts from CMSes and Markdown wikis. It introduces typed content, enforced state machines, and typed relation edges, making this structured data accessible to AI agents via MCP. The system aims to keep rules within the content layer rather than embedding them in prompts. AI

IMPACT This system could enable more structured and enforceable content management for AI agents, potentially improving their ability to interact with and process information.

RANK_REASON The item describes a new software system/framework, not a frontier release, significant industry move, or academic research.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Smeldr introduces typed content and enforced state machines for AI agents

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The item describes a new software system/framework, not a frontier release, significant industry move, or academic research.
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87 days old
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · smeldr ·

    CMSes solved typed data and lifecycle states, but for humans in browsers. Markdown wikis like Karpathy's LLM Wiki add structure but no enforcement. Smeldr takes

    CMSes solved typed data and lifecycle states, but for humans in browsers. Markdown wikis like Karpathy's LLM Wiki add structure but no enforcement. Smeldr takes the next step: typed content, enforced state machines, and typed relation edges - accessible to agents through MCP. Rul…

    LINKS smeldr.dev/…/what-is-smeldr

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