Agnuxo1/Universal-Cognitive-Architecture-JEV-v2
Executable cognitive architecture: validated graph context, deterministic cache, bounded JEV routing and evidence-gated model collaboration.
Deterministic-first cognitive orchestration with bounded TypeSafe JEV supervision, evidence-aware escalation, and privacy-minimizing telemetry.
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Latest capture 2026-10-17 04:01
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Executable cognitive architecture: validated graph context, deterministic cache, bounded JEV routing and evidence-gated model collaboration.
Open-source, read-only social media research agent for Instagram, TikTok, and LinkedIn. Jev routes bounded steps; local socai CLI captures browser evidence.
A compatibility-first cognitive architecture for deterministic routing, evidence-aware traces, and reusable expert skills.
Proof-carrying adaptive Luna-first cognitive routing for Promptothon 2026
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.