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AgentWorkShop — an industrial multi-agent platform, recorded live on a running production line.

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Every line, every signal, one control room. Hardware in, decisions out — and nothing leaves the governed path.

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Live telemetry, six field protocols — every sample stamped with its batch, recipe and line.

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The new E D A pipeline. Pull live data — or bring your own table.

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Shape it with your own code: filters, aggregates, derived columns — executed right in your browser.

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Choose a chart, tune the fields, save the whole recipe as a template. New data, one click, re-plotted.

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Every tool is catalogued with its source, the roles allowed to call it, and the channels that scoped it down.

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Agents propose. The platform verifies against bound nodes and live grants. You decide.

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Every call is rate-limited, checked and journaled — by design, not by policy.

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Ontology makes the plant machine-readable — entities, relations and rules, each bound to a real node.

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Models learn from the line, then serve optimization through a guarded solver. Nothing is trusted until it passes.

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And a solver cross-checks every recommendation against the physics it learned from.

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Published as a versioned release, every entity, relation and rule carries its evidence and a content hash.

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Different agents, different tools, different permissions — scoped down to the node.

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Four teams share one line, each with its own scenario, tools and evidence trail.

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Protocols, analyses, twins — all plugins. The diagnostics bridge and knowledge base plug in the same way.

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In one live batch, every setpoint was acknowledged and read back; a step-limited request was correctly rejected.

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Data, decision, action — with proof.

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Every chart is a saved, reusable view — owned, versioned, and shareable with the team.

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AgentWorkShop. Open source, plugin-ready, built for the shop floor.