rush86999

16 mods across 1 repository, 878 stars between them.

atom AGENTS.md

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rush86999/atom

Instructions file CodexOpenCode

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.

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atom CLAUDE.md

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rush86999/atom

Instructions file

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.

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rush86999/atom

Agent

Date: August 28, 2026 Status: ✅ Complete — implemented, tested, verified live Scope: Training completion integrity, agent persona chat, learned-context introspection, file-mention grounding, mini-canvas lifecycle, voice opt-in, session-expiry redirect.

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QUEEN_AGENT

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rush86999/atom

Agent

Component: Structured Complex Tasks Orchestration File: backend/core/agents/queenagent.py Status: ✅ Production Ready.

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rush86999/atom

Agent

Status: 2026-08-24. Corrected execution order (post-review disposition): 8 → 2 → 1 → 6 → 4 → 3 → 7 → 9, #5 optional (demoted: unproven preprint, cheap optionality only).

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rush86999/atom

Agent

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…

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fleet-admiral

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rush86999/atom

Agent

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.

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governance

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rush86999/atom

Agent

Agent "governance" from rush86999/atom, covering agent governance system, 🆕 2026 enhanced governance, operational layer (fast, automated), architecture and core components.

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graduation

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rush86999/atom

Agent

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.

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guidance-system

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rush86999/atom

Agent

Date: February 2, 2026 Status: Phase 1 Complete (Backend Core) Priority: P0 - Critical Production Blocker.

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lateral-messaging

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rush86999/atom

Agent

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…

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marketplace

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rush86999/atom

Agent

The ATOM platform's Marketplace has evolved from merely sharing individual "Skills" to sharing complete, autonomous Agents.

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meta-agent

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rush86999/atom

Agent

The Meta-Agent (AtomMetaAgent) is Atom's central orchestrator responsible for.

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overview

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rush86999/atom

Agent

Core agent capabilities including governance, graduation, and orchestration.

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training

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rush86999/atom

Agent

Date: February 2, 2026 Status: ✅ Complete - All 12 Tasks Implemented Implementation Time: Phase 1 (Foundation + Core Services + Integration).

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unstructured-tasks

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rush86999/atom

Agent

Atom's Unstructured Complex Tasks system enables intelligent routing and execution of user requests through three distinct paths.

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