The job: Chatbots & Agents
Ask questions, write, think — and put an assistant to work for you.
Source log: October 2026 · 23 tools
A popular all-purpose AI chatbot. Ask questions, brainstorm ideas, write, research, analyze files, or talk by voice.
Best for: Beginners who want one tool for many everyday tasks.</p> <p class="note">Also creates images
Source log: October 2026
An AI chatbot that helps you think through ideas, read long documents, write, summarize, and code.
Best for: Natural-sounding writing, editing, and working with long documents.</p> <p class="note">Also creates images
Source log: October 2026
Google's AI chatbot for questions, writing, research, files, and help inside Google's apps.
Best for: People who already use Gmail, Google Docs, and Google Drive.</p> <p class="note">Also creates images
Source log: October 2026
Microsoft's AI chatbot for questions, writing, research, and help across Microsoft 365 apps.
Best for: People who work in Word, Excel, PowerPoint, and Outlook.</p> <p class="note">Also creates images
Source log: October 2026
xAI's chatbot with live X/social data and real-time web access baked in.
Best for: Questions where what people are saying right now matters as much as the facts.
Source log: October 2026
A free chatbot from the Chinese open-weight lab, known for strong reasoning at a fraction of frontier cost.
Best for: Hard reasoning problems on a zero budget.
Source log: October 2026
A cited, source-linked AI search and research chatbot that shows its work.
Best for: Research where you need to check the sources, not just trust the answer.
Source log: October 2026
A visual canvas for building AI workflows and agents from connected nodes. It combines models, conditions, app integrations, web scraping, and Model Context Protocol connections; Gummie can help assemble a flow from plain-language instructions.
Best for: Research, lead enrichment, content operations, and other multi-step processes that need AI judgment inside a structured, visible workflow.
Source log: October 2026
A platform for building AI teammates that do multi-step work — sales outreach, support triage, meeting prep — connected to 600+ apps, with AI models doing the reasoning.
Best for: Teams that want AI agents handling real multi-step jobs inside Slack and their existing tools, starting small and scaling up.
Source log: October 2026
An open-source platform for building agents, chatflows, workflows, and retrieval-augmented generation apps. It connects models, tools, and knowledge bases, then publishes the result as a web app or API.
Best for: Product and technical teams that want model flexibility, document-grounded agents, built-in monitoring, and a choice between managed cloud and self-hosting.
Source log: October 2026
An open-source framework and visual studio for multi-agent systems. Assign agents roles and tasks, connect tools and triggers, coordinate them through flows, trace their runs, and export visual builds as Python code.
Best for: Developers and technical teams that need role-based agent crews, code-level control, flexible deployment, and production monitoring.
Source log: October 2026
A general-purpose autonomous agent that plans, browses, codes, and delivers finished work — reports, decks, and websites — from a single prompt.
Best for: Handing off an entire task and getting a finished deliverable back, not just chat answers.
Source log: October 2026
A 'Super Agent' workspace that routes your request across 70+ AI models to produce finished slides, docs, sheets, and video.
Best for: One workspace that picks the best model for each subtask and assembles the result.
Source log: October 2026
An AI-native 'agentic browser' that executes multi-step web workflows — research, bookings, data collection — inside a real browser.
Best for: Repetitive browser chores you wish ran themselves: research sweeps, form filling, monitoring.
Source log: October 2026
A no-code platform for building AI agents and 'AI workforces' for sales, support, and marketing teams.
Best for: Teams that want agents doing outreach, triage, and follow-up without writing code.
Source log: October 2026
A single application programming interface (API) for hundreds of language models from many providers. Users can compare prices and performance, set routing preferences, and add fallbacks without rebuilding an app for every model.
Best for: Developers and automation builders who want one connection for model testing, cost control, provider choice, and reliable backup routes.
Source log: October 2026
A customizable chat workspace that connects to your own model API keys. It adds projects, folders, agents, prompt libraries, knowledge bases, plugins, Model Context Protocol (MCP) tools, and side-by- side model chats.
Best for: Power users who want an organized, multi-model command center while controlling which providers they use and how much they spend.
Source log: October 2026
A multi-model app and bot marketplace from Quora. One account can access official and user-built bots across text and media models, compare answers, and create custom prompt or server-powered bots.
Best for: Creators who want broad model access and fast bot experiments without managing separate API accounts or building a full interface.
Source log: October 2026
A desktop app for downloading and running open-weight models on your own computer. It includes a visual chat interface, model controls, offline use, and a local server that apps can call like a standard AI API.
Best for: Private or offline work, local model testing, and developers who want more control over data and inference without paying for every token.
Source log: October 2026
An open-source local-LLM desktop app with MCP and extension support — no account needed.
Best for: Running models privately on your own machine, extensible and free.
Source log: October 2026
100+ AI models under one subscription, plus built-in AI agents and image/video tools.
Best for: Access to everything for one price instead of five subscriptions.
Source log: October 2026
Switch between 50+ AI models mid-chat without losing context, with agents and automations.
Best for: Comparing models on the same task inside a single conversation.
Source log: October 2026
Blind side-by-side battles between AI models with a crowdsourced leaderboard (formerly LMArena).
Best for: Finding out which model is actually best at your kind of task.
Source log: October 2026