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AI tool list for founders: Muse, Dots, Grok Bot among computer-use agents

A curated list of AI tools for founders and operators, grouped into coding agents, company-wide agents, computer-use agents, business workflow tools and local deployment, with Claude Cowork, OpenAI Dots, Meta Muse, Gemini Spark and Grok Bot listed under computer-use agents.

Paul Klay
@PaulKlayVCArchived 1 day agoOriginally posted 2026.10.26
AI tool list for founders: Muse, Dots, Grok Bot among computer-use agents
Paul Klay @PaulKlayVCOriginally posted 2026.10.26
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the AI tools every founder and operator should have on their radar right now coding agents - amp (agent threads linked to git commits, useful as shared team context) - antigravity (another way to work with Claude and Gemini) - opencode (open source, multiple models, runs in your terminal) - claude code (subagents, skills, project memory, MCP) - codex (a second opinion from a different model family, great for code review) - cursor (multiple models in one editor) running agents across the company - QM (YC's open-source internal agent, lives in Slack) - multica (AI agents as teammates, with actual task management) - paperclip (a meta-harness for coordinating agents across different tools) - herdr (manage agents running across multiple machines from one place) - buzz (Jack Dorsey's workspace for people, agents, and code) agents that use your computer - claude cowork (desktop tasks and workflows) - dots (OpenAI's always-on agents inside ChatGPT) - muse (Meta's agent for computer tasks) - gemini spark (Google's background agent for Ultra subscribers) - grok bot (one of the more interesting interfaces in this category) tools for actual business workflows - fin / decagon / sierra (customer support) - ramp (finance and spend management with AI built in) - rogo / hebbia / alphasense (research and analysis) - reducto (document parsing, including messy real-world files) - clay (GTM research and enrichment) - granola (meeting notes that are actually useful afterward) - n8n (connecting tools and automating workflows) running AI on your own hardware - ollama + LM studio (running local models with more control over your data) - deepseek / qwen / kimi / GLM (open-weight models for high-volume workloads) - hermes (Nous Research's agent with persistent memory and local deployment options) - moshi (accessing agents from your phone) what am I missing?

This post quotes another post: x.com/paulklayvc/status/2112969254429466725

x.com/paulklayvc/status/2114731700924133753Archived 2026.10.27 10:41