docs: define modular local agent contracts
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@@ -8,9 +8,9 @@ GEWU is a local-first, multi-project knowledge base for people and AI agents. It
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## Core Mission
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Help project teams find and reuse trustworthy knowledge without losing its source, scope, freshness, or uncertainty. People search, explore and read knowledge through a read-only web UI. Local agents running in Codex, Claude, Antigravity and OpenCode retrieve cited, budgeted results and contribute exclusively through typed MCP proposals. The service validates and automatically accepts eligible proposals under owner-defined policy; humans do not approve every knowledge change. Development runs locally first, with the shared service deployed to the owner’s VPS afterward.
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Help project teams find and reuse trustworthy knowledge without losing its source, scope, freshness, or uncertainty. People search, explore and read knowledge through a read-only web UI. Local agents running in Codex, Claude, Antigravity and OpenCode retrieve cited, budgeted results and contribute exclusively through typed MCP proposals. GEWU includes a custom local workspace-agent profile with modular skills and pipelines, following the RESEARCH workspace pattern; the selected host supplies its model/runtime. The service validates and automatically accepts eligible proposals under owner-defined policy; humans do not approve every knowledge change. Development runs locally first, with the shared service deployed to the owner’s VPS afterward.
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Initially GEWU contains no reasoning agent. It stores original source artifacts or explicit reference-only records, exposes traceable citations, and lets people navigate problems, approaches, concepts and their connections without an agent running. Local agents perform interpretation and propose new knowledge and relationships. Tags support filtering; typed links explain how nodes relate.
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The GEWU knowledge service contains no reasoning agent. It stores original source artifacts or explicit reference-only records, exposes traceable citations, and lets people navigate problems, approaches, concepts and their connections without an agent running. The custom local agent and other compatible local agents perform interpretation and propose new knowledge and relationships. Tags support filtering; typed links explain how nodes relate.
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The initial pilot serves up to five people across 'Dome interactive content' and an 'Interactive Video Platform/Service'. Start with a smaller pilot while retaining the full v1 requirements. Human roles are admin, editor and viewer; editing uses MCP proposals under the read-only web target. Each local agent has its own revocable API key and stable identifier for attribution. Same-agent extraction and support assessment are allowed with recorded assessments and quality sampling. All team members initially read all projects; restricted project access is a later phase.
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