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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.
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MiniMax's general-purpose autonomous AI agent that plans and completes complex multi-step tasks from a single prompt.
AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.
Searchable directory of open-source AI agent 'skills' (SKILL.md files) for developers building with Claude, Codex, or ChatGPT agents.
Marketplace and factory to build, discover and monetize AI agents, plus a directory and on-chain jobs board.
Open-source, self-hosted app to manage teams of AI agents like a company - org chart, goals, budgets and per-agent approvals.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Autonomous multi-step task execution
- ✦Natural-language task delegation
- ✦Powered by MiniMax frontier models
- ✦Handles research, building and content tasks
- ✦ChatLLM access to multiple top AI models
- ✦AI agents and automation
- ✦No-code full-stack app creation
- ✦Enterprise generative AI platform
- ✦Structured ML model building
- ✦Optimization and forecasting
- ✦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
- ✦Agent Factory for hosted agents
- ✦Starter Kits
- ✦Claw Earn paid-task marketplace
- ✦Large AI agent directory
- ✦Multi-channel agent gateways (WhatsApp, Slack, etc.)
- ✦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
- →Delegating complex tasks to an AI agent
- →Automating research and analysis
- →Producing reports and deliverables
- →Chat with many AI models in one place
- →Build and deploy ML models
- →Automate tasks with AI agents
- →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
- →Building hosted AI agents
- →Discovering AI agents and agencies
- →Monetizing agents via paid tasks
- →Publishing agent jobs
- →Orchestrating agents across business functions
- →Running dev, marketing and research agents
- →Building autonomous-business workflows
- →Governing and budgeting agent work