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Open Kioku – local evidence layer for AI coding agents
Evidence layer before edits beats Cursor's blind codebase chatting for safety.
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shivyadavus
2015d ago
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Deterministic evidence-packet linter for claim-backed AI output. Checks source references, quotes, lexical support, and unmatched numbers before human review; not a factuality verifier.
6 starsPython
Agenda Intelligence MD – evidence-discipline MCP layer for agents
by vassilbek·May 22, 2026·2 points·0 comments
AI Analysis
●●SolidNiche GemBig Brain
Evidence-discipline layer for agents solving hallucination in geopolitical risk analysis.
Strengths
- •Enforces strict schema validation and evidence auditing before generating strategic memos.
- •Includes a heuristic scoring system for decision-readiness based on source quality.
- •Provides a live A2A wrapper on Cloudflare Workers for easy agent discovery and routing.
Weaknesses
- •Highly niche focus on geopolitical risk limits broader adoption beyond specific enterprise use cases.
- •Requires host model to handle final completion, adding complexity to the integration chain.
Category
Target Audience
AI engineers building agents, Risk analysts
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