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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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CopilotKit
✓ verifiedFreemium
Open-source React/Angular SDK and platform for embedding agentic, generative-UI copilots into apps, Slack and Teams.
170K visits/mo
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Gumloop
✓ verifiedFreemium
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
701K visits/mo
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LlamaIndex
✓ verifiedFreemium
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
455K visits/mo1.9K saves
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)
No public pricing
No public pricing
Core features
- ✦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
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- ✦Lifelike voice AI agents
- ✦24/7 availability
- ✦Customer-led conversational platform
- ✦Integration with enterprise systems
Use cases
- →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
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Answering customer service calls
- →Providing information and support
- →Resolving customer issues
- →Automating call center operations
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