World memory for AI agents
-
Updated
Aug 26, 2026 - Python
World memory for AI agents
Hyperagents that collaboratively work to act on your instructions. Example Blog Post editors.
Genesis-IV: A K=64 Hilbert-space AGI architecture. Features Zero-Entropy state-space preservation via LZMA-compressed quantum tensors; Schrödinger-driven HRC with Landauer metabolic cost; and self-modifying meta-Hamiltonians.
Multi-tool AI orchestration that researches its own success criteria before acting, validates them after, and earns autonomy from track record. Orthogonal to single-agent frameworks.
Agent-agnostic, evaluator-driven recursive improvement loop for Claude Code, Codex CLI, Hermes, and other headless CLI agents
HyperAgents-based framework for evolutionary prompt optimization using task agents, evaluators and meta-agents.
To associate your repository with the hyperagents topic, visit your repo's landing page and select "manage topics."