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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.
AI operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
Platform that compiles plain-English workflows into deterministic web-browsing AI agents that log in, browse and act.
Unified customer-memory and governance layer that gives every AI agent on a team consistent context and enforced policies across tools.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦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
- ✦Voice AI with full customer context
- ✦AI-native Smart Inbox across channels
- ✦LiveCSI real-time satisfaction monitoring
- ✦Service Advisor Agent
- ✦Heat Case and Opportunity Agents
- ✦Mobile app
- ✦Plain-English workflows compiled to deterministic agents
- ✦Web automation behind logins with scraping and actions
- ✦Scheduled runs, triggers and always-on monitoring
- ✦Auto-testing of agents before publishing
- ✦Built-in enrichment, email verification and Google Ads tools
- ✦Integrations with n8n, Zapier, Make, Claude Code and Codex
- ✦Persistent unified customer memory across CRM, email, tickets, and docs
- ✦Governance layer for defining and enforcing agent policies
- ✦MCP endpoint for connecting tools like Zapier, n8n, and Clay
- ✦REST API and SDK for custom agent development
- ✦Skills packages for coding tools like Claude Code, Cursor, and Codex
- →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
- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity
- →Automating repetitive browser workflows
- →Lead generation and enrichment
- →Marketing and sales GTM automation
- →Invoice reconciliation and data extraction
- →Keeping customer context consistent across multiple AI agents and channels
- →Enforcing brand and compliance guardrails on all deployed agents
- →Connecting no-code automation tools to a shared customer memory
- →Building custom agent workflows on top of unified customer data