AGENT MADNESS
THE BRACKETBRACKET ENTRIESBEST OF THE RESTSIGN IN
PUBLIC ENTRY PAGE

DeskMates

An agent orchestrator that let's anyone build, schedule, and orchestrate self-improving AI agent teams on their Windows desktop — with a natural language agent builder, event-driven triggers, and instant agent email setup.

ROUND 1 DEADLINE
VOTING CLOSES THURSDAY, MARCH 26
DeskMates is live in Round 1 right now. Voting closes Thursday, March 26, so if you're backing this project, send people into the matchup before the round locks.
VOTE THIS MATCHUPVIEW ROUND 1
BACK TO BRACKET ENTRIESVIEW LIVE MATCHUPVIEW BRACKETVIEW OPPONENT
DeskMates
Builder
Jeremy Scheffel
Build Type
Vibe-Coded Experience
Lifecycle
Live product
Consensus Score
84.1
Region
REGION 1
Seed
8
CATEGORIES
Automation / WorkflowConsumer UtilityConsumer Utility
Go Deeper
DeskMates is a local-first agent operating system for your desktop — an OpenClaw alternative with privacy, an intuitive UX, simple onboarding, and running entirely on your machine. THREE THINGS THAT SET IT APART: 1. NATURAL LANGUAGE AGENT BUILDER: Describe what you want in plain English — "scan my GitHub repo every morning for TODOs and email me a summary" — and DeskMates generates the full agent config: model selection, tools, schedule, multi-step instructions, everything. No YAML, no JSON, no code. Edit the result visually or just hit go. 2. OPENCLAW ALTERNATIVE, LOCAL-FIRST: Unlike cloud-hosted agent platforms, DeskMates runs entirely on your PC. SQLite database, Windows DPAPI encryption, zero telemetry. Your agent data, prompts, Obsidian-style memory, and outputs never leave your machine. The only network call is to Claude's API when agents execute. You own your agents. 3. INSTANT AGENT EMAIL SETUP: Agents get their own email address (you@deskmates.app) in one click. Send tasks via email, agents triage with AI, draft responses, and wait for your approval. Email arrives → agent fires → draft lands in your inbox. It's the fastest path from "I want an AI assistant I can email" to having one. WHAT ELSE MAKES IT INTERESTING: - AGENTS THAT LEARN: Every agent builds a living playbook. Rate runs, give feedback — the agent reflects, updates its playbook, and measurably improves. Closed-loop learning, not just memory. - MULTI-AGENT ORCHESTRATION: Chain agents (success/failure triggers/condition), @-mention multiple agents in one chat with a moderator routing messages, and a universal agent ("Manta") that coordinates across all workspaces. - EVENT-DRIVEN TRIGGERS: File watchers, webhook receivers (HMAC validated), HTTP polling with JSON path conditions, clipboard monitoring (paste a URL or error → agent fires), system events (wake, unlock, network reconnect). - KNOWLEDGE VAULT: Semantic search knowledge base with D3 force-directed graph visualization and backlinks. Agents query it mid-run — a shared second brain. - REMOTE CONTROL: Start agent sessions and get a QR code to run them from your phone.
Stack Used
Claude Code, Electron, TypeScript, React 18, Supabase, Resend, SQLite (sql.js/WASM), Vite, node-schedule, DOMPurify, Zod, D3.js, Playwright