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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.

Macaron AI logo
Macaron AI
✓ verifiedFreemium

Personal AI agent that builds custom mini-apps and tools on request and remembers your preferences to help with daily life.

184K visits/mo
AnythingLLM logo
AnythingLLM
✓ verifiedFree

Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.

682K visits/mo
248K visits/mo4.8K saves
CopilotKit logo
CopilotKit
✓ verifiedFreemium

Open-source React/Angular SDK and platform for embedding agentic, generative-UI copilots into apps, Slack and Teams.

170K visits/mo
Gumloop logo
Gumloop
✓ verifiedFreemium

No-code platform for building and running AI agents that automate work across data, sales and support tasks.

701K visits/mo
Pricing

No public pricing

No public pricing

No public pricing

Developer: $0 (1 seat, free forever, 200 threads)
Pro: $39/developer/mo (up to 5 seats, 5,000 threads)
Team: $500/mo (5 seats, 25,000 threads)
Pro: $37/month (20k+ credits/month, unlimited seats)
Core features
  • Personal AI agent for daily life
  • Deep Memory that remembers user preferences
  • Builds custom tools and mini-apps on request
  • Personality test for personalization
  • Mobile app
  • Content and template library
  • Chat with your documents (RAG)
  • Runs locally and offline for privacy
  • Supports any LLM (local or cloud)
  • Built-in AI agents
  • Handles PDFs, Word, CSV, codebases
  • No-code setup
  • Lifelike voice AI agents
  • 24/7 availability
  • Customer-led conversational platform
  • Integration with enterprise systems
  • React and Angular frontend SDKs
  • Agent-rendered generative UI
  • AG-UI agent-user interaction protocol
  • Connectors for LangChain and other frameworks
  • Pre-built customizable chat/sidebar components
  • Slack and Teams integrations
  • Thread and state persistence
  • Visual canvas to orchestrate multi-agent workflows
  • Prebuilt specialized agents (data, support, CRM, sales)
  • Access to many AI models with no vendor lock-in
  • Slack, Teams and email agent interaction
  • Recurring/scheduled tasks and triggers
  • Enterprise security: RBAC, VPC, audit logs, spend controls
Use cases
  • Getting personalized help with daily tasks
  • Generating small custom tools on demand
  • Building an AI that remembers your context
  • Creative writing and story generation
  • Privately querying your own documents
  • Running local AI without the cloud
  • Building AI agents over your data
  • Using multiple LLM providers in one app
  • Answering customer service calls
  • Providing information and support
  • Resolving customer issues
  • Automating call center operations
  • Adding an AI assistant to a SaaS product
  • Building agents that render interactive UI
  • Deploying copilots across Slack and Teams
  • Connecting existing agents to a frontend
  • Automate data analysis and reporting
  • Triage support tickets and spot patterns
  • Keep a CRM updated and research prospects
  • Deploy AI agents across a team's tools
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