AGENTS.md instructions for rush86999/atom, covering agents.md — working standards for ai agents in this repo, 1. decide with the whole repo in context — no narrow fixes, 2. evidence over plausibility and 4. leave the trail navigable.
Claude Code instructions for rush86999/atom, covering atom — ai-powered business automation platform, ⚠️ never commit, decision standards (read before any fix/design), architecture and core components.
The Agent Workspace is the right-hand panel in agent chat (/chat). It shows the agent's real task work as it happens — execution steps, reasoning trace, tool observations — so users can understand what the agent did, give per-step feedback, and grow the training signal set. This doc describes the data pipeline, the…
FleetAdmiral is Atom's dynamic multi-agent orchestration system for unstructured complex tasks. It intelligently recruits, coordinates, and manages teams of specialist agents to accomplish long-horizon objectives that require multiple domains of expertise.
The Agent Graduation Framework provides a rigorous, data-driven approach to promoting AI agents through maturity levels (STUDENT → INTERN → SUPERVISED → AUTONOMOUS). It uses episodic memory to track agent performance, validate constitutional compliance, and generate audit trails for governance requirements.
Modeled on the AgentRadio protocol (Coral AI Labs, arXiv:2607.28430): a team of agents doing interdependent subtasks shares a thread and exchanges directed @mentions while each goes on working. The core idea: an agent that is working can also be listening — discoveries propagate in real time before their operational…