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Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Collaborative AI workspace combining docs, sheets and integrations with AI agents, aimed at teams wanting a 'second brain'.
AI customer-support automation with cobrowsing that resolves tickets by extracting answers from help docs and past tickets.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
AI video social-listening platform that scans social video content to surface untagged brand mentions, sentiment, and creator leads.
No public pricing
No public pricing
No public pricing
- ✦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
- ✦Real-time collaborative docs, sheets, kanban boards, and calendars
- ✦Integrations with Notion, Salesforce, Slack, Google, GitHub, and more
- ✦AI agents that perform background research and content tasks
- ✦Natural-language automation builder with a visual node editor
- ✦Cross-document AI analysis to surface latent connections
- ✦Centralized file storage and workspace sharing
- ✦AI ticket automation across channels
- ✦Cobrowsing for guided support
- ✦Answers extracted from help docs and past tickets
- ✦Step-by-step guided resolutions
- ✦Support analytics and content-gap detection
- ✦One-click integrations with existing helpdesks
- ✦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
- ✦AI video analysis of audio, visuals, and captions
- ✦Untagged brand mention and UGC detection
- ✦Creator sourcing by niche, audience, and brand fit
- ✦Outbound comment engagement tracking
- ✦Competitive benchmarking across brands
- ✦Brand sentiment and safety monitoring
- →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
- →Building a shared knowledge base for a team's projects
- →Automating multistep workflows like report generation or email drafting
- →Using AI agents to handle background research or data analysis tasks
- →Replacing scattered documents and spreadsheets with one collaborative hub
- →Automatically resolve common support tickets
- →Deflect inquiries with self-serve answers
- →Guide customers through resolutions
- →Cobrowse to assist users in real time
- →Spot content gaps and trends
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Finding untagged user-generated content about a brand
- →Sourcing creators that match specific audience criteria
- →Measuring campaign impact across social video
- →Benchmarking a brand's social presence against competitors