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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Paperclip - ing logo
Paperclip - ing
✓ verifiedFree

Open-source, self-hosted app to manage teams of AI agents like a company - org chart, goals, budgets and per-agent approvals.

942K visits/mo
Dify.ai logo
Dify.ai
✓ verifiedFreemium

Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.

1.1M visits/mo
Agent Skills Marketplace logo
Agent Skills Marketplace
✓ verifiedFree

Searchable directory of open-source AI agent 'skills' (SKILL.md files) for developers building with Claude, Codex, or ChatGPT agents.

777K visits/mo
Manus logo
Manus
✓ verifiedFreemium

General-purpose autonomous AI agent that plans and runs multi-step tasks such as building sites, slides and research in the cloud.

28M visits/mo89K saves
Pricing

No public pricing

Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year

No public pricing

No public pricing

Core features
  • Manage teams of AI agents
  • Bring-your-own-agent (any runtime/provider)
  • Org chart with roles and reporting lines
  • Goal alignment for tasks
  • Per-agent budget and cost controls
  • Ticket system with full audit trail
  • Visual workflow studio for agents
  • RAG knowledge pipelines
  • Agent runtime with tools and memory
  • Marketplace of models and plugins
  • Publish as app, API or MCP tool
  • Logging, analytics and monitoring
  • Full-text search across millions of indexed SKILL.md files
  • Browse skills by creator or by occupation category
  • Inspect GitHub source links for each skill before use
  • REST API access to the skill catalog
  • One-click running of skills inside supported agent platforms
  • Autonomous multi-step task execution
  • Website and app building
  • AI slides, design and image generation
  • Manus browser operator
  • Wide Research mode
  • Cross-platform web, desktop and mobile apps
Use cases
  • Orchestrating agents across business functions
  • Running dev, marketing and research agents
  • Building autonomous-business workflows
  • Governing and budgeting agent work
  • Building AI agents and chatbots
  • Creating RAG-based knowledge apps
  • Deploying LLM apps at enterprise scale
  • Finding an existing agent skill instead of writing one from scratch
  • Comparing similar skills across different creators
  • Building custom search or analytics on top of the skill catalog via API
  • Discovering skills relevant to a specific job function
  • Automate end-to-end digital tasks
  • Produce websites and presentations
  • Conduct broad research
  • Hand off browser tasks to an agent
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