Top agent AI tools

AI Agent

Construct Computer (construct.computer) is a cloud-native AI employee platform that provides autonomous AI coworkers with their own dedicated browser-based desktop OS, long-term memory, MCP skill integrations, and multi-channel messaging across Slack, Telegram, Discord, and email.

Marketing

Brainfish AI (brainfishai.com) is an AI-first customer support platform and self-learning knowledge layer that turns product videos, help docs, and user tickets into autonomous AI support agents that resolve over 80% of customer inquiries instantly across all channels.

AI Agent

Alook (alook.ai) is an open-source collaboration platform that connects local AI coding agents—such as Claude Code, Codex, Cursor, and OpenCode—into shared team rooms, channels, and DMs with persistent identities, inboxes, and multi-device access.

Code Assistant

Claude Code is an agentic command-line AI coding tool developed by Anthropic that directly inspects local codebases, executes shell commands, performs multi-file refactoring, manages Git commits, and verifies code with extended reasoning inside your terminal.

Code Assistant

Epho (epho.io) is an AI agents-as-an-API platform that allows developers to run coding agents like Claude Code, Codex, and OpenCode in serverless cloud sandboxes via a single REST API request with streaming outputs, MCP support, and repository cloning.

AI Agent

Mindcase (mindcase.co) is an enterprise web data extraction and scraping API platform that provides AI agents and LLM pipelines with structured, real-time data across 75+ public digital platforms without the burden of maintaining scraping infrastructure.

AI Agent

Almanac is a modern collaborative documentation and knowledge management platform that brings Git-like branching, reviews, approval workflows, and structured team wikis to async-first remote teams, product managers, and distributed operations.

AI Agent

Observyze is an AI observability platform that helps teams monitor, debug, and optimize AI applications in real time. It provides visibility into prompts, responses, and workflows while tracking performance, costs, and reliability to ensure scalable, efficient, and trustworthy AI systems.