CommandMesh — AI Agent Orchestration Engine

CommandMesh is an autonomous multi-agent orchestration engine that transforms how enterprise work gets done. Instead of relying on a single AI prompt that misses context, hallucinates, or produces unverified output, CommandMesh deploys a coordinated workforce of four specialized AI agents that collaborate in real-time to plan, execute, review, and approve any complex business goal. THE PROBLEM Enterprise workflows are broken. Teams juggle Slack, Jira, and endless meetings just to coordinate decisions. When businesses turn to AI, a single model fails under complex multi-step goals it loses context, hallucinates outputs, and provides zero verification layer. There is no trust, no transparency, and no recovery when things go wrong. OUR SOLUTION CommandMesh introduces a multi-agent collaboration layer powered by Band AI and Featherless AI: • Planner Agent — Decomposes any business goal into a structured, actionable task plan • Executor Agent — Executes each task in parallel and generates detailed deliverable outputs • Reviewer Agent — Independently audits all execution outputs for risks and missing steps • Manager Agent — Makes the final APPROVE, REJECT, or REROUTE decision with confidence scoring SELF-HEALING RESILIENCE The most powerful feature of CommandMesh is its failure recovery system. If the Executor fails on a task, the Reviewer immediately detects the risk, the Manager triggers a REROUTE command, and the Planner revises the plan automatically. The system recovers and re-executes without any human intervention something no single AI can do. TRANSPARENT REPORTING Every workflow generates an enterprise-grade report with an Executive Summary, completed task audit, identified risks, severity scores, and the Manager's full reasoning for its decision. Every step is visible, verifiable, and explainable. TECH STACK Built with Next.js 16, Framer Motion, Prisma, SQLite, Band AI for real-time agent rooms, and Featherless AI for LLM inference across all four agents.