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This repository was archived by the owner on Apr 8, 2026. It is now read-only.
Align site + docs with README rewrite: 5→6 queries, 14→20 tools, kill EU AI Act header
- index.html: meta tags updated (six queries, no EU AI Act in title)
- Landing.tsx: hero updated (new sub-tagline, six queries, removed compliance hero)
- Learn.tsx: five→six queries in headings
- GetStarted.tsx: 14→20 MCP tools
- QUERY_ENGINE.md: 5→6 queries
- TOOLCHAIN.md: test count updated to ecosystem total (~1,564)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
<metaname="description" content="Reasoning memory + EU AI Act compliance engine for AI agents. Typed queries (why, tensions, blocked, whatIf) over reasoning graphs. Hash-chained audit trail, convergence certificates, Cloud witnessing. Open source." />
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<metaproperty="og:title" content="FlowScript | Reasoning Memory + EU AI Act Compliance for AI Agents" />
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<metaproperty="og:description" content="Five typed queries no vector store can answer. Hash-chained audit trail. Convergence certificates. Independent Cloud witnessing. 11 framework adapters. MIT licensed." />
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<metaname="description" content="Reasoning memory for AI agents. Six semantic queries no vector store can answer: why, tensions, blocked, alternatives, whatIf, counterfactual. Hash-chained audit trail. Nine framework adapters. Open source." />
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<metaproperty="og:title" content="FlowScript | Reasoning Memory for AI Agents" />
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<metaproperty="og:description" content="Vector stores remember what. FlowScript remembers why. Six reasoning queries, nine framework adapters, 20 MCP tools, hash-chained audit trail. MIT licensed." />
<pclassName="decision-result">14 reasoning tools. Auto-extraction from plain text. Contradiction handling. Your agent builds the graph through natural conversation.</p>
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<pclassName="decision-result">20 reasoning tools. Auto-extraction from plain text. Contradiction handling. Your agent builds the graph through natural conversation.</p>
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</div>
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<divclassName="decision-card">
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<sectionclassName="gs-section"id="mcp">
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<h2>MCP Server Setup</h2>
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<p>
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The fastest path. Install, add to your editor config, restart. Your agent gets 14 reasoning tools with auto-extraction and contradiction handling.
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The fastest path. Install, add to your editor config, restart. Your agent gets 20 reasoning tools with auto-extraction and contradiction handling.
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</p>
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<h3>1. Install</h3>
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<h3>3. Restart your editor</h3>
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<p>
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Your agent now has 14 reasoning tools: <code>search_memory</code>,{" "}
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Your agent now has 20 reasoning tools: <code>search_memory</code>,{" "}
Copy file name to clipboardExpand all lines: web/src/pages/Landing.tsx
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<spanclassName="hero-highlight">FlowScript makes those decisions queryable.</span>
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</h1>
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<pclassName="hero-subtitle">
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Five typed queries no vector store can answer: <code>why()</code>, <code>tensions()</code>, <code>blocked()</code>, <code>alternatives()</code>, <code>whatIf()</code>.
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Hash-chained audit trail. Convergence certificates. Cloud witnessing. MIT licensed.
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</p>
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<pclassName="hero-compliance">
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EU AI Act enforcement begins August 2026. Audit trails can't be backdated.
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FlowScript is the compliance engine that makes your agents audit-ready from day one.
Six reasoning queries no vector store can answer: <code>why()</code>, <code>tensions()</code>, <code>blocked()</code>, <code>alternatives()</code>, <code>whatIf()</code>, <code>counterfactual()</code>.
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Hash-chained audit trail. Nine framework adapters. MIT licensed.
<h2className="section-title">Five queries no vector store can answer</h2>
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<h2className="section-title">Six queries no vector store can answer</h2>
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<pclassName="section-lead">
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FlowScript builds a typed reasoning graph during normal agent work. You query it with structured operations that traverse relationships, not embeddings.
The five queries and the audit trail are what FlowScript <em>does</em>. Here's what it <em>is</em>.
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The six queries and the audit trail are what FlowScript <em>does</em>. Here's what it <em>is</em>.
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</p>
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<pclassName="section-lead">
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Musical notation didn't record what musicians were already playing. It made polyphony <em>possible</em>. Bach's fugues are literally unthinkable without it — not "hard to remember" but impossible to compose, because the interaction of independent voices requires a representational system precise enough to reason about counterpoint.
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