Aubm AI Agent Orchestration

Created by team cesjavi on May 09, 2026
AI Agents & Agentic Workflows (Best Track for Beginners)Hugging FaceQwen

Aubm uses a FastAPI backend, React frontend, Supabase for persistence and authentication, and multiple LLM provider integrations. It also includes budget tracking, retry flows, PDF export, marketplace-style agent templates, and optional vector memory when embeddings are configured. The target users are managers, team leads, department heads, and middle-management operators who need to coordinate work, evaluate AI-generated outputs, and turn strategic goals into traceable execution plans. The goal is to make AI agents usable for real operational workflows where planning, accountability, review, and evidence matter. The platform includes guided and expert modes, project dashboards, task approval flows, agent management, debate workflows, evidence intelligence, monitoring, team workspaces, audit logs, and final report generation. It is designed for use cases where AI output needs traceability rather than a single opaque answer. Each task can produce structured output, claims, evidence, and logs so that users can inspect how work was completed before approving it. Aubm uses a FastAPI backend, React frontend, Supabase for persistence and authentication, and multiple LLM provider integrations. It also includes budget tracking, retry flows, PDF export, marketplace-style agent templates, and optional vector memory when embeddings are configured. The goal is to make AI agents usable for real operational workflows where planning, accountability, review, and evidence matter.

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"Aubm is an enterprise-grade AI agent orchestration platform that bridges the gap between AI generation and real business execution. It addresses a genuine pain point — most AI tools stop at output generation, while organizations need planning, approvals, accountability, and visibility. The multi-agent orchestration with human-in-the-loop approvals, task dependencies, retry flows, and audit trails is well-architected. FastAPI + React + Supabase stack is solid, and AMD/Qwen integration shows hardware awareness. However, this is a crowded space (many enterprise AI orchestration tools exist), so originality is moderate. --- Scores **Application of Technology** • Criteria: Application of Technology • Score: 4 • Explanation: FastAPI + React + Supabase + multi-provider LLM support + multi-agent orchestration with debate workflows + AMD/Qwen integration **Presentation** • Criteria: Presentation • Score: 4 • Explanation: Clear problem-solution structure, core workflow diagram, feature list is comprehensive **Business Value** • Criteria: Business Value • Score: 4 • Explanation: Solves real organizational need — planning, accountability, review, evidence for AI outputs **Originality** • Criteria: Originality • Score: 3 • Explanation: Enterprise AI orchestration platforms exist (LangChain, AutoGen, etc.), but Aubm's focus on "traceability" and human approval flows adds value --- Notes: - PDF slide deck only — no video, so no audio penalty - Strong enterprise features: audit logs, evidence intelligence, project locking - GitHub repo is well-structured with comprehensive docs - v0.7.2 shows active development"

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