RealTimeX Documentation
RealTimeX is the AI work operating system for teams that need more than chat.
It brings together workspace chat, retrieval, meetings, agent runtimes, channels, plugins, and deployment choice so teams can move from context to execution in one product.
Use these docs to understand the product story first, then drill into setup, runtime, and feature details.
Start Here
Start with the product thesis and what RealTimeX covers.
Understand how RealTimeX differs from simple chat apps and API wrappers.
See where RealTimeX fits for operations, support, and AI rollout teams.
Choose the right deployment path for pilots, team rollout, or hybrid adoption.
Explore the current platform surface.
What RealTimeX Brings Together
- Workspace chat, retrieval, and knowledge so documents and context stay close to the work.
- Agent runtimes, MCP, browser workflows, local apps, and scheduled Ambient follow-up for execution.
- Meetings, calendar context, goals, and thread tracking so work does not stop at one prompt.
- Channels, plugins, and marketplace assets so AI can live where teams already operate.
- Desktop, cloud, and hybrid deployment choices with operator controls around credentials, approvals, and access.
Core Capability Guides
Build visual agents and workflows with AI assistance.
Connect and automate local apps on your machine.
Control CLIs, working directories, scheduled agents, and diagnostics.
Schedule background agent runs and manage HEARTBEAT.md instructions.
Track durable cross-workspace goals and promote chats or terminal sessions into the Ambient board.
Register external CLIs, probe readiness, and expose them to agents safely.
Run GGUF chat models on your machine with the managed local runtime.
Manage Ollama, LM Studio, llama.cpp, LocalAI, and RealTimeX Local models.
Tune how documents are chunked before embedding and retrieval.
Capture notes, build wiki projects, and search them with AI.
Record, import, transcribe, and synthesize meetings.
Manage events, synced calendars, and meeting preparation.
Team & Integration Guides
Build reusable knowledge collections for agents to reference.
Connect workspace AI to external messaging platforms.
Install and configure extensions that expand RealTimeX.
Store reusable secrets for advanced agent workflows and integrations.