Cofounder is an AI company operating system for founders, coordinating engineering, sales, marketing, design, finance, and operations agents. It provides a full roadmap tailored to your company, guiding you through steps to start, build, sell, and scale. Agents work alongside you, requiring approval for potentially dangerous actions. It is fully extensible with MCP, custom APIs, skills, or custom codebases.
AI Agent · 66 tools
Best AI Agent Tools (2026)
Compare AI agents for task automation, coding, tool use, autonomous workflows, and no-code or SDK agent builders.
All AI Agent tools
Infinity is an operating system designed for AI agents, where agents are first-class citizens. It allows users to run heavy applications like Blender, VS Code, and Isaac Sim on any device through a browser tab, with dedicated GPU compute per app. The platform supports running Windows and Linux apps simultaneously, cold starts in under a minute, and enables humans and agents to coexist in the same workspace. Infinity offers a chat interface for agents to orchestrate GPU workloads, eliminating the need for API keys or rate limits.
Prefactor is an agent observability and evaluation platform that scores every run in production for quality, drift, and risk, then wires those evaluations into action. It provides real-time tracing, custom evals, and runtime enforcement with human-in-the-loop approval. The platform integrates with TypeScript and Python SDKs, native for LangChain, Claude, Vercel AI, OpenClaw, and LiveKit, and supports custom spans to bring any datasource into the run. Prefactor also offers versioning, staging, and promotion for agents, plus enterprise security features.
PromptQL is a multiplayer AI agent that maintains shared context for teams. It learns from corrections and turns them into reusable skills, team knowledge, and semantic-model changes. It starts from existing context in Slack, docs, tickets, CRM, and warehouse tables, and suggests updates to a wiki. With shared threads and a shared brain, it helps teams work faster with fewer meetings and status updates.
Shoplazza AI introduces Athena, an AI commerce agent that builds your store, runs ads, gets you paid, and ships orders from one conversation. Describe the store you want, and Athena handles the rest, from designing pages to launching ads. It orchestrates capabilities like AI Store Builder, LazzaStudio, AdValet, Shoplazza Payments, Loyalty & Push, and Fulfillment by Shoplazza, working autonomously while you approve key decisions.
Verse is a platform that lets you create autonomous AI employees from a single prompt. These AI agents can use your tools, hold context, and run work around the clock without code. You can hire specialists for sales, marketing, support, operations, recruiting, research, and more. Each employee gets its own email, phone, virtual card, computer, and crypto wallet.
AnySearch is a privacy-first search infrastructure designed for AI agents. It provides anonymous access to search results, smart routing to optimize queries, and structured output for easy integration. With native API, MCP, and Skill support, AnySearch enables developers to build agentic applications that respect user privacy.
Botmaker is a conversational platform with generative AI that helps businesses train ChatGPT for sales, customer support, and more. It enables connecting chatbots to WhatsApp, Messenger, and over 20 chat and voice channels. The platform supports building autonomous AI agents for messaging, email, and voice, with integrations to CRM, ERP, payment systems, and ecommerce.
ClawTeams is an IM-native AI staff collaboration platform. Users describe a task once; the lead AI splits it, dispatches specialist AI staff to work in parallel, checks quality, and sends finished work back to the chat. It connects to Slack, Telegram, and other IM channels, offering 30+ AI staff roles. Actions are logged, auditable, and stoppable, with enterprise security controls.
Heard is a macOS app that listens to your coding agent's events, understands what matters in context, and turns the useful parts into concise, natural speech. It offers multiple listening modes (Co-pilot, Companion, Focus) and supports multi-agent awareness, allowing you to follow parallel sessions with distinct voices. Heard also includes Heard Power for mobile pairing, enabling you to listen, approve, and reply by voice while away from your Mac. The app is open-source (Apache-2.0) and offers free, Pro, and Power plans.
heyclicky is an AI assistant for your Mac. It's a little buddy on screen that teaches you anything, guides you when you're stuck, and runs agents while you're away. It uses your screen as context to walk you through steps in any tool, and you can spawn AI agents with your voice. It's 100% free for basic use, with paid plans for more.
Nautis is an AI-native startup operating system that unifies planning, fundraising, finance, and execution in one workspace. It acts as an AI business partner with full business context, reading every document, deal, number, and thread. It performs real work across modules like CRM, data rooms, and finance, but always requires human approval before any external action. Designed for startups, freelancers, and agencies, Nautis aims to reduce tool sprawl and provide a single, intelligent workspace.
What is an AI agent?
An AI agent is a system built on a large language model that can pursue a goal over multiple steps on its own — planning, calling tools and APIs, browsing, running code, and reacting to results — instead of just answering one prompt. Agents range from ready-made assistants to platforms for building your own.
Core features to look for
- Multi-step planning toward a goal, not single replies
- Tool and API calling (search, code, browsers, apps)
- Memory and state across a task or session
- Autonomy with optional human-approval steps
- Build-your-own with no-code or an SDK/framework
- Multi-agent teams that delegate subtasks
Who uses AI agents, and how
01
Task automation
Automate research, data entry, outreach, and repetitive multi-step workflows end to end.
02
Coding agents
Plan, write, and edit across a codebase, run commands, and fix failures autonomously.
03
Build-your-own
Use no-code builders or SDKs to create agents wired to your own tools and data.
04
Customer & ops
Agents that resolve tickets, take actions, and coordinate across business apps.
How does an AI agent work?
An AI agent wraps a language model in a loop: it plans the next step, picks a tool or action, runs it, reads the result, and repeats until the goal is met. Access to tools, APIs, memory, and sometimes other agents is what turns a chat model into something that acts, not just answers.