54 categories · 4,298 agents · Updated October 8, 2026
The 8 largest of 54 categories, across all 7 groups
This category collects the platforms, runtimes and frameworks that AI agents actually run on. You will find hosted agent environments, plugin-based SDKs, orchestration layers and workspaces that plan and carry out multi-step tasks. Typical capabilities include model switching, tool and browser access, memory or RAG, sandboxed execution, state that survives crashes, session logs and one-click deployment.
Tools here take repetitive work off your plate by running it as an automated process. Set triggers, connect the apps you already use, and let AI agents handle intake, email routing, calendar prep, record updates, deadlines and follow-ups, with approval steps wherever a person should decide. Compare options by reliability, state handling and audit trails.
AI memory systems help agents, assistants and virtual companions remember. They store conversations, facts and user preferences as episodic, short-term and long-term memory, then retrieve the right context on later runs. Here you'll find memory layers you can plug into your own agents, along with agent platforms that ship with configurable memory built in.
Tools here turn written prompts, briefs and uploaded documents into finished output. Chat with an LLM assistant, draft articles and marketing copy, build multi-agent workflows, wire up a retrieval pipeline that answers questions from your own files, or render images, video and voice from a description. Compare open-source frameworks and hosted platforms, then pick the one that fits your workflow.
Tools here work with your data to project what happens next. They clean and query datasets, build forecasting models, run scenario simulations, and turn results into readable reports or charts. Many pair with autonomous agents, knowledge graphs, or retrieval systems, so you can ask questions in plain language and get answers grounded in your own numbers.
Explore AI coding assistants that generate and complete code, explain unfamiliar logic, find bugs, suggest refactors, write tests, and work with repositories or IDEs. These tools support developers throughout implementation, review, debugging, and maintenance, from focused code suggestions to agents that plan and execute multi-step development tasks.
Search technology tools use AI to understand a question and return an answer, not just a list of links. Here you will find semantic and vector search engines, retrieval-augmented generation platforms, knowledge-graph query layers, people and public-footprint lookup services, and agents that gather information across documents, databases and the open web. Use them to add search to your own product or to dig deeper into research.
Digital workers are AI agents you assign to jobs rather than prompts. They run in the background, browsing the web, gathering leads, drafting and scheduling content, filling out applications, or coordinating multi-step workflows across your tools. Here you can compare platforms for hiring, configuring and supervising teams of agents, from single task runners to full AI workforces.
7 groups · 4,298 agents · pick a group or filter by keyword
Tools here turn written prompts, briefs and uploaded documents into finished output. Chat with an LLM assistant, draft articles and marketing copy, build multi-agent workflows, wire up a retrieval pipeline that answers questions from your own files, or render images, video and voice from a description. Compare open-source frameworks and hosted platforms, then pick the one that fits your workflow.
Image generation tools turn a written prompt or a reference picture into finished visuals: illustrations, digital art, product shots, marketing creatives, logos and slide graphics. Many run as chat-driven design agents, so you describe a change and get a new version back, sometimes alongside video or 3D output. Use this page to find a generator that fits your style, output format and budget.
Tools here work with spoken audio. Build voice agents that answer or place calls, qualify leads and book appointments; turn recordings and videos into searchable transcripts; generate and translate subtitles; convert articles into synthetic narration or podcast episodes. Compare options for call automation, transcription, dubbing and voice cloning, then pick what fits your workflow.
This category collects the platforms, runtimes and frameworks that AI agents actually run on. You will find hosted agent environments, plugin-based SDKs, orchestration layers and workspaces that plan and carry out multi-step tasks. Typical capabilities include model switching, tool and browser access, memory or RAG, sandboxed execution, state that survives crashes, session logs and one-click deployment.
Explore AI coding assistants that generate and complete code, explain unfamiliar logic, find bugs, suggest refactors, write tests, and work with repositories or IDEs. These tools support developers throughout implementation, review, debugging, and maintenance, from focused code suggestions to agents that plan and execute multi-step development tasks.
AI web tools act on the internet for you. Here you'll find autonomous agents that browse sites, fill forms and move data between web apps, browser extensions that shorten everyday actions like handling messages, and runtimes or hosting services that keep long-running agents alive with memory, saved state and access to external tools.
Tools here take repetitive work off your plate by running it as an automated process. Set triggers, connect the apps you already use, and let AI agents handle intake, email routing, calendar prep, record updates, deadlines and follow-ups, with approval steps wherever a person should decide. Compare options by reliability, state handling and audit trails.
Digital workers are AI agents you assign to jobs rather than prompts. They run in the background, browsing the web, gathering leads, drafting and scheduling content, filling out applications, or coordinating multi-step workflows across your tools. Here you can compare platforms for hiring, configuring and supervising teams of agents, from single task runners to full AI workforces.
Document processing tools read files you already have — PDFs, contracts, invoices, research papers, internal reports — and turn them into something usable. They pull out fields and tables, classify pages, write summaries, and answer questions while pointing back to the source passage. Here you can find assistants for legal review, literature scanning, knowledge search across archives, and bulk data extraction.
Tools here answer customer questions, resolve tickets and keep conversations moving across chat, email and phone. You will find support chatbots, voice agents for call centers, appointment booking assistants, client intake helpers, agents that qualify leads and follow up, and systems that turn recurring feedback into notes your team can act on.
These tools use AI to help pages get found in search results. You'll find keyword research assistants, writers that draft optimized articles, titles and meta descriptions, site auditors that flag broken links or slow pages, backlink analyzers and rank trackers. Many connect to a CMS or analytics account so you can publish changes and watch positions move.
Tools in this category apply AI to online stores and the people buying from them. They recommend products, answer questions about stock and orders, write product titles and descriptions, suggest sizes and prices, compare offers and summarise reviews. You will also find shopping assistants, storefront apps and multi-agent systems that handle listings, negotiation and order flows.
Tools here work with your data to project what happens next. They clean and query datasets, build forecasting models, run scenario simulations, and turn results into readable reports or charts. Many pair with autonomous agents, knowledge graphs, or retrieval systems, so you can ask questions in plain language and get answers grounded in your own numbers.
Tools here help you decide from evidence instead of guesswork. They run research on their own, trace how a competitor grew, simulate how a plan or policy might play out, and condense findings into briefs, forecasts and compared options. You will also find agent frameworks that chain models, APIs and documents together so multi-step analysis runs end to end.
Business intelligence tools use AI to turn scattered business data into answers. Ask questions in plain language, generate reports, dashboards and KPI summaries, or set agents to gather a company's financials, funding, leadership and competitors on a schedule. Compare analyst assistants, agent frameworks and no-code builders for recurring reporting and research work.
AI memory systems help agents, assistants and virtual companions remember. They store conversations, facts and user preferences as episodic, short-term and long-term memory, then retrieve the right context on later runs. Here you'll find memory layers you can plug into your own agents, along with agent platforms that ship with configurable memory built in.
Search technology tools use AI to understand a question and return an answer, not just a list of links. Here you will find semantic and vector search engines, retrieval-augmented generation platforms, knowledge-graph query layers, people and public-footprint lookup services, and agents that gather information across documents, databases and the open web. Use them to add search to your own product or to dig deeper into research.
Speech recognition tools listen to spoken audio and turn it into usable text. Upload recordings or stream live audio to get transcripts, meeting notes, subtitles and searchable archives, with speaker separation, timestamps and support for many languages. You'll also find voice command interfaces and developer APIs that let apps respond to what users say.
Frameworks, SDKs and runtimes for developers who build autonomous AI agents. These packages handle the plumbing: connecting models to external tools and APIs, storing memory, adding retrieval over your own documents, orchestrating multi-step reasoning, and running code in sandboxes. You can also find viewers that trace an agent's decisions and chain executions when something goes wrong.
These tools put AI agents to work on operational tasks. They run multi-step jobs across apps, websites and cloud machines, connect to your own API keys and data, and add memory, retrieval and tool calling. You'll also find assistants for Kubernetes commands, coding support and browser automation that you can deploy and monitor yourself.
Tools in this category let you build and run AI characters that keep a consistent personality across conversations. Set a name, tone, backstory and behavior rules, give the agent memory of past chats, connect knowledge sources or APIs, then embed it in a site, app or chat platform. Useful for roleplay, companions, support assistants and game characters.
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