Most orchestration frameworks today still behave like fragile chains — they break when faced with contradictions, long-term memory, or dynamic routing.

Neuron is a cognitive multi-agent architecture that thinks in circuits instead of chains. Multiple agents collaborate in parallel, adapt their pathways in real time, and keep persistent context across extended interactions.

Key components

Agents: Intake, Reasoning, Response, Memory

Circuits: Dynamic routing instead of linear chaining

Memory: Episodic + contextual persistence

Monitoring: Full reasoning traces for observability

Why it matters

Handles contradictory inputs without collapsing

Maintains state across extended sessions

Parallel coordination for complex reasoning tasks

Transparent logs for debugging & trust

GitHub repo: https://github.com/ShaliniAnandaPhD/Neuron

Evaluation Notebook: https://www.notion.so/shalini-ananda-phd/Neuron-Evaluation-N...

Tutorial Series: https://www.notion.so/shalini-ananda-phd/Neuron-Framework-Tu...

About me / context: https://www.notion.so/shalini-ananda-phd/Shalini-Ananda-PhD-...

Would love feedback from the HN community — especially if you’ve run into the same breakdown points with traditional tools.