All Agents

Browse our curated collection of 7 AI agents. Autonomous assistants designed to handle complex workflows and engineering tasks.

All 7 open-source 3 autonomous 3 coding 2 cli 2 anthropic 2 agent 2 code-editor 1 ide 1 ai 1 completion 1 generation 1 cursor 1 official 1 self-improving 1 nous-research 1 memory 1 skills 1 mcp 1 general-purpose 1 sandbox 1 virtual-computer 1 workflow 1 claude 1 desktop 1 knowledge-work 1 automation 1 terminal 1 editor 1 multi-model 1 multi-agent 1 workspace 1

Cursor

4.8

AI-first code editor for professional developers

code-editorideai

Claude Code

4.7

Anthropic's official AI coding assistant CLI

codingcliofficial

Hermes Agent

4.7

Self-improving agent with learning loop by Nous Research

open-sourceautonomousself-improving

Manus

4.6

Autonomous AI agent with its own virtual computer

autonomousgeneral-purposeagent

Claude Cowork

4.5

Autonomous task execution mode in Claude desktop app

anthropicclaudeautonomous

Amp

4.5

Frontier coding agent with multi-model orchestration

codingagentterminal

OpenClaw

4.5

Open-source AI agent workspace with multi-provider support

open-sourcemulti-agentworkspace

FAQ

What are AI agents?

AI agents are autonomous software programs powered by large language models (LLMs) that can understand natural language instructions, reason about tasks, make decisions, and execute complex multi-step workflows with minimal human intervention.

How do AI agents differ from chatbots?

While chatbots primarily handle conversation, AI agents can take actions — they write and run code, manage files, call APIs, browse the web, and orchestrate other tools. Agents operate with greater autonomy and can complete end-to-end tasks rather than just answering questions.

What can I use AI agents for?

AI agents excel at software engineering tasks (coding, debugging, code review), data analysis, content generation, workflow automation, research, and system administration. They can handle repetitive tasks, assist with complex problem-solving, and significantly boost developer productivity.

How do I choose the right AI agent?

Consider your primary use case (coding, general tasks, research), the level of autonomy you need, integration requirements, and supported platforms. Check the agent's rating, read community reviews, and try free tiers when available to find the best fit for your workflow.

Are AI agents safe to use?

Most AI agents include safety mechanisms like permission prompts, sandbox environments, and human-in-the-loop confirmations for sensitive operations. Always review an agent's security model, understand what permissions it requires, and start with limited access before granting broader capabilities.