AgentGrid
AgentGrid provides a persistent visual workspace for developers to run, orchestrate, and manage multiple AI coding agents on an infinite canvas.
At a Glance
- AI Software Engineers
- Early-stage AI Startups
- Developer Teams
AI Tools by AgentGrid
(1)AgentGrid
Multi Agent Coding Canvas Tool
Discussions
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Latest News
AgentGrid live on Product Hunt: Your AI agents team on one infinite canvas
AgentGrid Release 2.7.9: Direct password reset from desktop app
AgentGrid Release 2.7.8: New onboarding preflight and CLI setup
AgentGrid Release 2.7.7: In-app billing and subscription management
Products & Services
A persistent visual workspace for coding agents (Claude Code, Codex, Antigravity) featuring an infinite canvas, orchestration tools, and developer tool integration.
Market Position
AgentGrid differentiates itself from standard terminal interfaces and IDE extensions by providing an infinite visual canvas and robust workspace persistence, specifically designed for multi-agent workflows and orchestration.
Leadership
Founders
Michael Yagudaev
Tech entrepreneur, maker, and speaker. Previously ran Nano, a technology consultancy. AI Software Engineer with experience building in public.
Souren Khetcho
Founder and CEO of Avo (avo.so), an AI trading agent marketplace. Previously founded OpenAuto and Vocally. Former CTO of Avo. Education: Simon Fraser University.
Executive Team
Michael Yagudaev
Co-founder
Tech entrepreneur and AI software engineer, previously ran consultancy Nano.
Souren Khetcho
Co-founder
Serial entrepreneur, founder of Avo, OpenAuto, and Vocally.
Founding Story
Souren Khetcho built AgentGrid to solve the chaos of running multiple coding agents across many terminal tabs. He eventually convinced co-founder Michael Yagudaev of the value of visual persistence and workspace restoration.
Business Model
Revenue Model
Subscription-based (SaaS) with Free and Pro tiers.
Pricing Tiers
3 projects, up to 10 parallel agents each, local agents only.
Unlimited canvases, cloud sync, local & cloud agents, roadmap access, planned collaboration features.
Target Markets
- AI Software Engineers
- Early-stage AI Startups
- Developer Teams
- Managing multiple Claude Code or Codex sessions
- Orchestrating agent teams (e.g., Builder, QA, Reviewer workers)
- Maintaining persistent AI development workspaces across system restarts