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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.

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
HumanLayer logo
HumanLayer
✓ verifiedFreemium

AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.

197K visits/mo
supermemory™ logo
supermemory™
✓ verifiedFreemium

Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.

174K 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
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)

No public pricing

Free: $0/mo (~$5/mo of usage included)
Pro: $19/mo (~$20/mo of usage, unlimited storage, 2 teammates)
Max: $100/mo (~$130/mo of usage, 6x Pro headroom)
Scale: $399/mo (~$600/mo of usage, up to 10 teammates)

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
  • AI coding IDE with agent orchestration
  • Run and manage multiple agent sessions
  • Task, artifact and collaboration tools
  • Bring-your-own AI subscription or API keys
  • Cloud-scale agent execution
  • Persistent, structured memory built as a knowledge graph
  • Sub-300ms hybrid retrieval (RAG) with reranking
  • Native filesystem mount for agent memory access
  • Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
  • Automatic extraction from PDFs, images, and audio
  • User profile and behavior tracking across sessions
  • 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
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
  • Shipping code faster with AI agents
  • Coordinating agent work across a team
  • Managing tasks and artifacts in one place
  • Running many parallel agent sessions
  • Developers adding long-term memory to AI agents
  • Teams building agents that need to sync with existing tools
  • Individuals wanting one memory layer shared across multiple AI assistants
  • 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
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