Specialized AI Agents

Ready-to-use AI agents built for one job, such as research, news monitoring or sales prospecting.

11 results in Specialized AI Agents

Active Pro listings from this category appear first. Your sort applies within Pro and Free results.

AnsvisorMarketing & SEOMIT-licensed AI search visibility platform that tracks prompts, mentions, citations and AI traffic across ChatGPT, Gemini, Claude, Google AI Overviews and more, with an Action Center, Content Agent and MCP server. Self-host or use Ansvisor Cloud.Open sourceSelf-hostedFreemium

Views · 7 daysTop 10%

3 views232 stars

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Comp AI CRMCRM & Customer PlatformsOpen-source, single-tenant CRM from Comp AI built on Next.js, NestJS, Postgres and the eve agent framework. It reads Gmail or Outlook, enriches records from cited evidence and runs agents you describe in one sentence.Open sourceSelf-hosted

Views · 7 daysTop 16%

2 views11,878 stars

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FFeynmanSpecialized AI AgentsFeynman is an open-source AI research agent that reads papers, searches the web, writes cited drafts and plans bounded experiments from slash commands.Open sourceSelf-hosted

Views · 7 daysTop 29%

1 views10,085 stars

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HHarveySpecialized AI AgentsHarvey researches businesses, drafts personalized outreach and handles email replies locally via Claude Code or Codex, with a dashboard for approvals.CommercialSelf-hosted

Views · 7 daysTop 7%

4 views4,610 stars

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Hermes AgentAgent FrameworksMIT-licensed agent from Nous Research that runs in a terminal, desktop app, browser or chat apps. It keeps curated memory, writes and refines its own skills, schedules jobs and works with OpenRouter, Anthropic, OpenAI, local or Nous Portal models.Open sourceSelf-hostedFreemium

Views · 7 daysTop 3%

7 views261,259 stars

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HHorizonSpecialized AI AgentsHorizon is an MIT-licensed tool that collects feeds, forums and repositories, scores and dedupes items with profiles, and writes English and Chinese briefings.Open sourceSelf-hosted

Views · 7 daysTop 29%

1 views12,961 stars

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LifeSpecialized AI AgentsLife is an MIT-licensed, self-hosted team of Claude Code agents that runs on your own Mac and is managed from iPhone, desktop and web apps over Tailscale.Open sourceSelf-hosted

Views · 7 daysTop 16%

2 views330 stars

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LDLocal Deep ResearchSpecialized AI AgentsLocal Deep Research is an open-source AI assistant that runs agentic research with local or cloud LLMs across web, academic and private sources, with citations.Open sourceSelf-hosted

Views · 7 daysTop 29%

1 views9,513 stars

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MikaSpecialized AI AgentsMika is an open-source AI agent for Android that operates phone apps and a built-in browser on a hidden background screen, using your own model key.Open sourceSoftware

Views · 7 daysTop 2%

14 views7,385 stars

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MorphicSearch EnginesApache-2.0 AI search engine built on Next.js and the Vercel AI SDK. A research agent queries Tavily, SearXNG, Exa, Firecrawl or Brave, reads pages and returns cited answers. Runs with Docker Compose, OpenAI, Anthropic, Gemini or Ollama models.Open sourceSelf-hosted

Views · 7 daysTop 29%

1 views9,291 stars

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OpenMausBotAI Assistants & ChatOpenMausBot is an Apache-2.0 chat app for macOS, Windows and Ubuntu where each bot is a local agent CLI with its own model, computer, connected apps and schedules, behind approval cards. Optional paid Cloud plans keep bots running.Open sourceSelf-hostedFreemium

Views · 7 daysTop 10%

3 views15,671 stars

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Focused collections

Shortlists for Specialized AI Agents

Explore collections with tools relevant to this category, grouped by deployment, source model or workload.

How to choose specialized ai agents tools

Specialised AI agents are ready-made applications that use a language model to plan and complete one kind of job, such as literature research, news monitoring, prospecting outreach or operating a phone. An agent here means software that chains model calls with tools like web search, browsing or file access until a goal is reached. Unlike agent frameworks they ship as finished products, and unlike general chat assistants they are built around a single task.

Read the guide

Who uses these tools

Researchers compiling sources and summaries on a topic
Sales teams automating prospect research and outreach drafts
Analysts monitoring news, forums and repositories for signals

Capabilities to compare

Tool access such as web search, browsing and files
Choice of hosted or local language model backends
Citation of sources behind each generated claim
Human approval steps before external actions
Scheduled recurring runs for monitoring jobs

Operating considerations

Model API costs that scale with every agent run
Data sent to model providers during research
Permissions granted for email, phone or browser control
Self-hosting effort for local model setups

Selection checklist

Define the single job and a success measure, then run the agent on ten real tasks and score the output.
Check whether every claim in a report links to a source you can open and verify.
Review which accounts and actions the agent can reach and require approval before it sends or posts anything.
Compare total cost per completed task across hosted models and local inference on your hardware.

What belongs in this category: A product fits here when it is a finished agent for one defined job that a user can run directly, rather than a framework for building agents, an MCP server or a general chat assistant.