All Features of RealTimeX

Build and automate with advanced AI agents.

Control CLIs, working directories, scheduled runs, and diagnostics.

Schedule background agent execution, task blocks, and calendar-aware routines.

Track durable goals across workspaces and promote chats or terminal sessions into Ambient follow-up.

Register external command-line tools, probe auth state, and expose them to agents.

Store provider API keys that RealTimeX injects into launched agent runtimes.

Create reusable prompt commands that appear when users type / in chat.

Manage reusable system prompt presets and apply them to workspace chat behavior.

Edit file-based agent identity, memory, and instruction layers.

Invite users, choose roles, and manage account status for a multi-user instance.

Create collaboration spaces and manage who belongs to each one.

Choose between account-based multi-user access and single shared-password protection.

Configure provider OAuth credentials, connect accounts, and control which calendars sync.

Tune local transcription, synthesis defaults, storage, and reusable meeting templates.

Pair the mobile app, approve devices, and revoke access when needed.

Inspect low-level application and server logs with filters and live refresh.

Manage purchased items, published listings, and billing inside RealTimeX.

Run GGUF local chat models with the managed llama-server runtime.

Manage models across Ollama, LocalAI, LM Studio, llama.cpp, and RealTimeX Local.

Connect, integrate, and extend with APIs.

Manage browser sessions, isolated profiles, and guardrails for agent browsing flows.

Personalize themes, layouts, and more.

Review, search, and export conversations.

Switch between different chat experiences.

Connect and automate local applications with AI Agents.

Capture notes, create wiki projects, and search them with AI.

Build reusable knowledge collections for agent reference.

Publish workspace-backed chat on your website and monitor embed activity.

Track all actions and system events.

Support for a wide range of LLMs.

Integrate with leading embedding models.

Control how documents are segmented before embeddings are created and retrieved.

Convert audio to text with ease.

Read chat messages and notes aloud with local or cloud voices.

Store and search embeddings at scale.

Private by design, with strict data handling.

Unified planning for tasks, synced calendars, and events.

Record, import, transcribe, and synthesize meetings with AI.

Connect workspace AI to messaging platforms such as Slack or Telegram.

Install and configure extensions that expand RealTimeX.

Securely store reusable auth for advanced agents and integrations.

Customize prompts with flexible variables.