Reference

What's inside:

• Agent Studio, create and manage agents with custom prompts, models, and tool access
• Workspace, chat with agents directly in the browser
• Channels, deploy agents to Telegram, Discord, WeChat, and DingTalk
• Support Desk, AI-assisted tickets and quotes
• Projects & Tasks, Kanban boards where agents execute tasks automatically
• Wiki, team knowledge base agents can read and update
• Scheduled Prompts, run agents on a schedule
• Integrations, n8n, GitHub, MCP servers, S3-compatible storage
• Skills & Extensions, reusable capability modules and a marketplace
• Governance, teams, RBAC, audit log, and usage analytics
• API & Webhooks, automate the platform itself

Create and manage AI agents with:

• Custom system prompts
• Model selection per agent
• Tool access control (allowlist/denylist)
• Skills attachment
• Subagent hierarchies
• MCP server connections
• YAML-based configuration

• Install a ready-made agent (support, sales, finance, ops) into your workspace in one click
• Or create an agent from scratch and shape it yourself
• Customize the model, system prompt, tools, and skills on any agent, prebuilt or your own
• Add subagents and delegation to the ones you install
• New agents keep arriving as the library grows

• Put an approval gate on risky actions: payments, sends, deletes, publishing
• The agent pauses, asks for a decision, and only proceeds once you approve
• Approval requests are delivered to Slack or Telegram
• Set an approval destination per agent, and per subagent
• Denied actions stop the run cleanly, nothing happens without a yes

Chat with your agents directly in the browser:

• Persistent sessions with full history
• File attachments and rich responses
• Per-session model and agent switching
• Command palette (Cmd+K) for quick navigation across the whole studio

Supported providers:

• OpenAI, Anthropic, Gemini, DeepSeek, NVIDIA, via API key
• Gemini and Qwen, via OAuth login
• OpenRouter, one key, many models
• llama.cpp server, self-hosted local models
• Custom LLM, any OpenAI-compatible endpoint

Connect agents to messaging platforms:

• Telegram
• Discord
• WeChat
• DingTalk

Channels support:

• Sender policies (whitelist/any)
• Session scoping (user/global)
• Dispatch modes (sequential/parallel)
• Per-channel model and instruction overrides
• Pairing flow for device authorization

Built-in AI-assisted customer support:

• Ticket management with statuses and assignment
• Quote creation and tracking
• Agents draft responses and triage incoming requests
• Full conversation history per ticket

Team knowledge base built into the platform:

• Markdown pages with slugs and linking
• Agents can read wiki content to answer questions
• Agents can create and update pages, keeping docs current automatically

Run agents on a schedule:

• Cron-style recurring prompts
• Assign any agent to a schedule
• Results delivered to sessions or channels

Built-in Kanban board for project management:

• Custom columns per project
• Task creation with descriptions
• Agent assignment per task
• Auto-run on task move (agents execute tasks automatically)
• Reorderable columns and tasks

Native Model Context Protocol support for extending agent capabilities:

• stdio transport (local processes)
• SSE transport (remote servers)
• Per-server environment variables
• OAuth configuration
• User/project scoping

Skills are reusable capability modules attached to agents:

• Built-in skills (DuckDuckGo search, Gmail, Google Calendar, n8n, web fetch)
• User-installed skills from SKILL.md files
• Extension marketplace support

Extensions add platform-level functionality:

• Install from git URLs, npm packages, local paths
• Configure via settings UI
• Enable/disable per deployment

Deep integration with n8n workflow automation:

• Connect n8n instance via API
• Browse and trigger workflows
• View execution history
• Manage credentials
• Agents can create, update, list, and delete workflows
• Data table operations (create, read, upsert, delete rows)

Connect repositories to agents:

• Authenticate with GitHub PAT
• Register repositories for agent access
• Assign repos to specific agents
• Agents can read code, manage issues, and review PRs

S3-compatible storage via RustFS:

• File upload and download
• Bucket management
• Object listing
• Configurable storage backend

Multi-user support with role-based access control:

• Roles with granular permissions
• Team management
• User invitations
• Session isolation per user

Full visibility into what agents and users do:

• Audit log of every significant action across the platform
• Usage analytics: tokens, turns, and cost per agent and per model
• Filter by user, agent, and time range

Automate the platform itself:

• REST API (v1) with API key authentication
• Webhooks for reacting to platform events
• Hooks for customizing agent behavior

• Hosted and maintained by Oido Systems
• Enterprise-grade security and encryption
• 99.9% uptime SLA
• Automatic updates and backups
• SOC 2 compliance (in progress)