LLMStack vs Riverside

Side-by-side comparison · Updated September 2026

 LLMStackLLMStackRiversideRiverside
DescriptionLLMStack is a source-available builder for AI agents, workflows and chatbots that combine model calls with your own data. Its visual builder can chain multiple models and connect data sources, making it more suitable for assembling an application or process than for simply opening a personal chat app. The project documents deployment on your own infrastructure and points to Promptly as its hosted offering. Supported data inputs include documents, websites and connected sources such as Google Drive and Notion. The builder provides preprocessing and vectorization for retrieval workflows. Apps can be shared publicly or with selected people, and viewer and collaborator permissions control access to shared work. The repository also documents HTTP API access and Slack or Discord triggers. Plan for infrastructure, model-provider usage, credentials and permissions as separate decisions. Installing a self-hosted builder does not make externally hosted models free or keep every data request local. Start with a limited workflow and representative documents, review the generated output, and confirm the permissions required by each connected source before expanding access. Compare AnythingLLM when a document-chat workspace is the main need; LLMStack is oriented toward composing the application and its workflow.Riverside combines local participant recording, separate audio and video tracks, transcript editing, exports and podcast publishing.
CategoryAI AssistantPodcasting
RatingNo reviewsNo reviews
PricingUnknownFreemium
Starting PriceN/AFree
Plans
  • Self-hosting and hosted accessCompare infrastructure, provider and hosting costs
  • FreeFree
  • Pro$29/mo
Use Cases
  • AI Developers
  • Data Scientists
  • Collaborative Teams
  • Businesses
  • Podcasters
  • Podcast Producers
  • Content Teams
Tags
Open sourceAI agentsWorkflowsApplicationsData
PodcastingRemote RecordingMultitrack EditingTranscript Editing
Features
Visual AI workflow and model-chain builder
Data imports from documents, websites and connected services
Document preprocessing and vectorization
Viewer and collaborator permissions
Self-hosted deployment instructions
Hosted offering through Promptly
HTTP API access for apps and chatbots
Slack and Discord workflow triggers
Local participant recording with cloud upload
Separate audio and video tracks for up to 10 participants
Transcript and timeline editing
WAV HD and MP3 audio export
Podcast hosting, show notes and Magic Clips
Separate-track download allowances by plan
 View LLMStackView Riverside

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