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Open-source React/Angular SDK and platform for embedding agentic, generative-UI copilots into apps, Slack and Teams.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Enterprise platform for building and deploying customized AI agent teams across sales, support, marketing, and HR workflows.
Memory layer/OS that gives AI agents persistent, self-evolving long-term memory across sessions and platforms, with SOTA benchmarks.
No public pricing
No public pricing
No public pricing
- ✦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
- ✦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
- ✦Custom AI agent builder for specific tasks
- ✦Support for multiple LLMs (GPT, Gemini, Claude, etc.)
- ✦Agent evaluation and performance tracking
- ✦2,000+ integrations
- ✦Embedded deployment and training program
- ✦SSO, role-based access, and audit logs for enterprise governance
- ✦Persistent, self-evolving agent memory (EverOS)
- ✦Multimodal retrieval and ingestion (mRAG)
- ✦Single-API storage of many file types
- ✦Skill and case-based learning
- ✦Temporal fact tracking
- ✦Personal memory hub (EverMe)
- →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
- →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
- →Automating sales prospecting, CRM enrichment, and meeting prep
- →Automating post-call follow-ups and pipeline forecasting
- →Building customer support and HR task agents
- →Scaling an internal AI workforce across departments
- →Giving AI agents long-term memory
- →Maintaining context across sessions
- →Coordinating multi-agent teams
- →Building personalized AI assistants