OpenSSA: Small Specialist Agents based on Domain-Aware Neurosymbolic Agent (DANA) architecture for industrial problem-solving
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Updated
Aug 14, 2025 - Python
OpenSSA: Small Specialist Agents based on Domain-Aware Neurosymbolic Agent (DANA) architecture for industrial problem-solving
ASAN: A conceptual architecture for a self-creating (autopoietic), energy-efficient, and governable multi-agent AI system.
Provide specialized AI agents that develop, review, debug, and deploy production-ready code efficiently across various programming tasks.
A domain-agnostic autonomous research engine. Feeds in, verified outputs out, with an eval flywheel at the core that turns operating the system into a labeled training dataset.
Gran-Prix is a high-performance, modular, and type-safe neural network framework built from the ground up in Rust. It evolves from simple conceptual models into a robust engine for building and training multi-layer perceptrons and beyond
AI agent orchestration kernel — Context · Objective · Role routing with deterministic CLI backbone + probabilistic-bounded LLM, paired with the Folder-Agent Doctrine for portable, tool-agnostic automations. Free-tier first cascade. OpenAI-compatible. MIT.
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