AI · Agents
AI Agents on VegaDūta
An AI agent on VegaDūta is closer to a staff member than a chatbot: you give it a role, tools, and channels, and it does real work. Each agent runs on a Java/Spring runtime with around 35 built-in tools — web fetch, document generation, image and video generation, knowledge search, memory, code execution, and more — and you deploy the same agent to WhatsApp, Telegram, Slack, Discord, Instagram, Messenger, X, email, or voice.
Guardrails and human-approval gates sit in front of risky actions, so the agent asks you first instead of acting unilaterally. Agents can also delegate work to each other, and you can hand anyone a public share link to chat with an agent without creating an account.
What an agent can actually do
Tools are what separate an agent from a chat window. VegaDūta agents ship with roughly 35 built-in tools spanning research, content, memory, and action, and you extend the set further through MCP servers.
- Web fetch, document generation, image and video generation
- Knowledge search over your uploaded documents, plus memory recall and remember
- Google Workspace suite, Sarvam language suite, E2B code execution
- Telegram send, speak (text-to-speech), code intelligence, delegate-to-agent
One agent, every channel
You build the agent once and attach channels to it. The same agent answers on WhatsApp, Telegram, Slack, Discord, Instagram, Facebook Messenger, X, email, and voice — no per-channel rebuild. This matters in India, where the customer conversation usually starts on WhatsApp, not on your website.
It asks you first
Sensitive tool calls can be gated behind human approval: the agent proposes the action, a person approves or rejects it, and the platform logs the decision. Combined with built-in guardrails for PII, toxicity, and jailbreak attempts, this keeps an autonomous agent inside boundaries you set. Sampled LLM-as-judge quality scoring gives you an ongoing read on how well each agent is performing.
Agents that work together
Delegate-to-agent is itself a tool, so one agent can hand a subtask to a specialist agent and use the result. That lets you compose a front-desk agent, a research agent, and a writer agent into one workflow instead of overloading a single prompt.
Frequently asked questions
What is an AI agent, in plain language?
An AI agent is a language model given a role, tools, and permission to act — it can look things up, generate documents, remember facts, and message people, not just reply in a chat box. On VegaDūta you configure the role and tools, attach channels like WhatsApp, and the agent handles conversations and tasks on them.
Which channels can a VegaDūta agent work on?
WhatsApp, Telegram, Slack, Discord, Instagram, Facebook Messenger, X (Twitter), email, and voice. You attach channels to an agent rather than rebuilding it per channel, so one agent can cover all of them at once.
Can I stop an agent from doing something risky?
Yes. Risky tool calls can require human approval — the agent asks first, you approve or reject, and the decision is audit-logged. Guardrails for PII, toxicity, and jailbreak detection run on top of that.
Can people talk to my agent without an account?
Yes. Every agent can have a public share link that opens a chat with it — no sign-up required for the visitor. There is also a no-signup sandbox at /try where you can experience the platform itself before creating an account.
See it working in two minutes
The sandbox provisions a real tenant — describe an agent in one sentence and test it, no account, no card. Or browse ~90 industry workflow recipes to see what teams build.
