Complete Guide

What is Viksa?

Viksa is the operating system for agentic ops—a production platform for running AI agent fleets with confidence. You state goals in natural language, Viksa executes via Think → Act → Observe loops with full traces, and operators get human oversight through Volt in Slack and Microsoft Teams. Vault provides enterprise security with RBAC, audit logs, VPC deployment, and hosted MCP for Cursor.

Viksa by the Numbers

95%
Pilots stuck in demo
AI agentic projects that never reach production without proper ops infrastructure
73%
Failures from infra
Production agent failures that trace to orchestration and handoffs—not the model
68%
Teams lacking visibility
Operators without real-time visibility into AI agent runs in production
50+
Integration count
Pre-built integrations available in the Viksa marketplace
10K+
Agents deployed
Agents running on the Viksa platform

Key Concepts Explained

What is Agentic Ops?

Agentic Ops is the operational practice of running ai agent fleets in production—with monitoring, approvals, debugging, and governance so agents stay trustworthy as models and environments change.

Example: An SRE team using Viksa to run health-check agents, approve restarts via Slack, and inspect traces when a disk-threshold run fails silently.

What is Think → Act → Observe?

Think → Act → Observe is viksa's execution loop: think plans agent selection and order, act runs agents against your environment, observe verifies outcomes—repeating until the goal is met with full streaming traces.

Example: For "if disk is over 80%, restart the service and confirm metrics are green," Viksa thinks through agent order, acts on the restart, observes metrics, and loops until green.

What is AI Agent?

AI Agent is an autonomous software program powered by large language models that can reason, plan, use tools, and execute multi-step tasks against real infrastructure and apis.

Example: A cluster-health agent that checks disk usage, triggers a restart agent, and verifies metrics—all registered on Viksa with full trace visibility.

What is Agentic AI?

Agentic AI is ai systems designed to act autonomously to achieve goals, including planning, tool use, and self-correction—plus production observability and human oversight when deployed on viksa.

Example: An agentic system that monitors logs, investigates anomalies, applies fixes, and escalates to humans via Volt when approval is required.

What is Volt?

Volt is viksa's channel layer for running deployed agents from messaging apps and embedded web chat. slack, whatsapp, telegram, microsoft teams, instagram, discord, facebook messenger, sms, email, line, viber, and google chat connect via https webhooks in volt-engine-service; web chat uses a first-party browser widget api.

Example: An ops team connects Azure Bot to Channel Hub so on-call engineers message a Teams bot that runs platform health agents with full traces.

What is Channel Hub?

Channel Hub is volt's connector ui for tier 1 channels (slack, whatsapp, telegram, teams, instagram, discord, facebook messenger, sms, email, line, viber, google chat, web chat). customers validate credentials or embed settings, connect channels, and configure channel_grants_v1 access — no per-project runtime pods.

Example: A support team grants +14155551234 access to a WhatsApp business number linked to their Viksa project's triage agent.

What is Web Chat Widget?

Web Chat Widget is volt's embeddable chat widget for https websites. a single script tag loads viksa-chat.js; the browser talks directly to volt-engine-service over sse. authenticated sites mint visitor jwts on their backend (widget secret + user email) so channel_grants_v1 controls which agents each user sees.

Example: A SaaS portal embeds the widget, calls POST /visitor-token after login, and grants [email protected] access to a triage agent only.

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is an open standard for connecting ai models to external tools, data sources, and apis in a standardized way. viksa provides hosted mcp endpoints for ide clients.

Example: Connecting Cursor to your Viksa agent fleet via hosted MCP so developers invoke production agents from the editor.

Viksa vs Traditional Automation

How AI-powered automation differs from rule-based tools like Zapier or RPA

FeatureViksaTraditional Tools
Core modelGoal-driven Think → Act → Observe executionFixed DAGs and flowcharts
Production observabilityFull traces—jump to the exact failed agent callBlack-box runs with scattered logs
Error handlingSelf-correcting runtime replanningFails or requires manual DAG updates
Human oversightVolt approvals in Slack and TeamsSeparate consoles and ticket queues
ConfigurationNatural language goals—no canvas requiredVisual workflow building and rule maintenance
Enterprise deployVault: VPC, hybrid, RBAC, audit logsCloud-only or custom infra builds

Frequently Asked Questions

Common questions about Viksa and agentic ops

What is Viksa?

Viksa is the operating system for agentic ops—a production platform for running AI agent fleets with confidence. You state goals in natural language, Viksa executes via Think → Act → Observe loops, streams full traces for every run, and gives operators human oversight through Volt in Slack, Microsoft Teams, WhatsApp, Telegram, Instagram, Discord, Facebook Messenger, SMS, Email, LINE, Viber, Google Chat, and Web Chat. Vault provides enterprise security with RBAC, audit logs, VPC deployment, and SOC2-ready controls.

What is agentic ops?

Agentic ops is the practice of operating AI agent fleets in production—monitoring runs, approving actions, debugging failures, and keeping agents trustworthy as models and tools change. Viksa is built specifically for this: not just building agents, but running them safely at scale with observability and human oversight.

How does Think → Act → Observe work?

Think selects agents and plans execution order for your goal. Act runs agents against your environment. Observe verifies outcomes and metrics, then the loop continues until the goal is met. Every phase is streamed and traced—you can jump from a failed run to the exact agent call that broke.

Do I need a workflow canvas or DAG?

No. You describe outcomes in natural language—no flowcharts or brittle DAGs. Viksa adapts execution at runtime: picking agents, reordering steps, and self-correcting when something fails instead of following a fixed pre-built graph.

What are Volt and Vault?

Volt is Viksa's channel layer: shared HTTPS webhooks in volt-engine-service for Slack, WhatsApp, Telegram, Microsoft Teams, Instagram DM, Discord, Facebook Messenger, SMS, Email, LINE, Viber, Google Chat, and Web Chat. Operators and customers trigger runs, approve actions, and receive alerts where they already work. Vault is the enterprise security layer—RBAC, audit logging, encryption at rest, and cloud, VPC, or hybrid deployment.

What is hosted MCP for Cursor?

Viksa offers hosted MCP (Model Context Protocol) endpoints so developers can connect Cursor, Claude Desktop, and other MCP clients to your agent fleet. Build agents with the Python SDK, register them on Viksa, and invoke them from your IDE without managing MCP infrastructure yourself.

What is Viksa Force?

Viksa Force is Viksa's workforce layer for coordinating multiple agents and human operators on shared goals. It handles scopes, task routing, and collaboration so agent teams and on-call engineers work from the same observable execution context.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard for connecting AI models to external tools and data sources. Viksa is MCP-native: agents integrate with MCP-compatible tools, and Viksa provides hosted MCP endpoints for IDE clients like Cursor.

What is agentic AI?

Agentic AI refers to AI systems that act autonomously to achieve goals—planning multi-step actions, using tools, recovering from errors, and completing complex tasks with minimal human supervision. Viksa adds production infrastructure so agentic AI is observable and trustworthy in real workloads.

How much does Viksa cost?

Viksa offers a free tier for individual developers and startups. Paid plans scale with usage for growing teams. Enterprise plans include VPC deployment, SSO, dedicated support, and custom SLAs. Visit app.viksaai.com/pricing for current rates.

Is Viksa secure for enterprise use?

Yes. Viksa is designed for production enterprise environments: SOC2-ready controls, HIPAA for healthcare, GDPR for EU data, SSO/SAML, RBAC, encrypted data at rest and in transit, VPC and hybrid deployment, and full audit trails for every action.

What programming languages does Viksa support?

Viksa primarily supports Python through its official SDK. Agents are authored in Python, goals are stated in natural language, and REST APIs allow integration from any language. Hosted MCP endpoints connect IDE clients without additional code.

How is Viksa different from ChatGPT?

ChatGPT is a conversational assistant for answering questions. Viksa is production infrastructure for agentic ops—executing goals across your stack, streaming traces, enabling operator approvals, and running continuously without per-prompt human input. Viksa agents can use GPT-4, Claude, or other models as their reasoning layer.

How is Viksa different from Zapier or Make?

Zapier and Make rely on predefined triggers and fixed action chains. Viksa uses goal-driven execution: agents reason about tasks, self-correct on failure, handle unstructured data, and adapt at runtime. Viksa can integrate with Zapier as one of many tools in an agent run.

What are the top use cases for Viksa?

Top Viksa use cases include: (1) Platform ops and SRE automation—disk thresholds, service restarts, incident replay, (2) Automated incident response with observable runbooks, (3) Data pipeline orchestration, (4) Customer support automation, (5) Document processing, and (6) FinOps and cost anomaly detection.

Can Viksa integrate with Slack?

Yes. Through Volt, Viksa has native Slack integration via HTTPS Event Subscriptions (no Socket Mode). Operators trigger runs, approve actions, receive alerts, and manage on-call workflows directly in Slack channels. Setup: /docs/volt/slack

Can Viksa integrate with Microsoft Teams?

Yes. Volt Channel Hub connects Azure Bot (Bot Framework) to ViksaAI. Register an Azure Bot, point the messaging endpoint at Viksa, enable the Teams channel, and configure access grants by email or Azure AD ID. Same agent pipeline as Slack. Setup: /docs/volt/teams

Can Viksa integrate with WhatsApp?

Yes. Volt Channel Hub supports WhatsApp Business Cloud API. Configure Meta webhooks, connect phone number ID and tokens in Channel Hub, and grant access by E.164 phone number. Approved users message your business number to run deployed agents. Setup: /docs/volt/whatsapp

Can Viksa integrate with Telegram?

Yes. Volt Channel Hub connects Telegram bots via secure webhooks. Create a bot with @BotFather, paste the token in Channel Hub, and grant access by numeric Telegram user ID. Plain-text DMs run your project agent catalog. Setup: /docs/volt/telegram

Can Viksa integrate with Instagram?

Yes. Volt Channel Hub supports Instagram Messaging (DMs) through Meta Business apps. Configure Instagram webhooks, connect page token and account ID, and grant access by scoped sender ID. Setup: /docs/volt/instagram

What is Viksa Channel Hub?

Channel Hub is Volt's connector UI for Tier 1 channels — Slack, WhatsApp, Telegram, Microsoft Teams, Instagram DM, Discord, Facebook Messenger, SMS, Email, LINE, Viber, Google Chat, and Web Chat. Most channels use shared HTTPS webhooks in volt-engine-service with a global routing index and channel_grants_v1 access control. Web Chat is first-party: visitors call the widget API directly from the browser (no webhook on your site). Overview: /docs/volt/channel-hub

Can Viksa deploy in my VPC?

Yes. Viksa supports cloud, VPC, and hybrid deployment for data residency and network isolation. Vault adds RBAC, audit logs, and encryption at rest so security teams get the controls they need without slowing engineering velocity.

Can Viksa integrate with Discord?

Yes. Volt Channel Hub connects Discord bots via secure webhooks. Register your Discord bot, set up a webhook endpoint, and grant channel access to approved Discord users or roles to execute agents from channels or DMs. Setup: /docs/volt/discord

Can Viksa integrate with Facebook Messenger?

Yes. Volt Channel Hub supports Facebook Messenger through Meta Business apps. Configure Messenger webhooks, connect your page access token, and grant access by scoped sender ID to allow users to DM your page to run agents. Setup: /docs/volt/messenger

Can Viksa integrate with SMS (Twilio)?

Yes. Volt Channel Hub integrates with Twilio SMS. Set up webhooks in Twilio, paste your API credentials in Channel Hub, and grant access by E.164 phone numbers. Authorized users text goals to your Twilio number to run agents. Setup: /docs/volt/sms

Can Viksa integrate with Email?

Yes. Volt Channel Hub supports Email integration using SMTP/IMAP or cloud email providers. Configure mail settings, set up a dedicated mailbox, and grant access by sender email addresses. Deployed agents process inbound email instructions and reply with formatted text and files. Setup: /docs/volt/email

Can Viksa integrate with LINE?

Yes. Volt Channel Hub connects LINE Messaging API bots. Paste the channel access token and channel secret in Channel Hub, register the webhook, and grant access by LINE user ID. Setup: /docs/volt/line

Can Viksa integrate with Viber?

Yes. Volt Channel Hub connects Viber bots using secure webhooks. Register your bot on the Viber Admin Panel, configure the token, and grant access by Viber user ID to enable messaging ops. Setup: /docs/volt/viber

Can Viksa integrate with Google Chat?

Yes. Volt Channel Hub supports Google Chat app integration. Configure the Google Cloud project, register your Google Chat app, set up the webhook URL, and grant access by work email or Google workspace ID. Setup: /docs/volt/google-chat

Can Viksa integrate with Web Chat Widget?

Yes. Volt Channel Hub provides an embeddable Web Chat Widget for portals and customer sites. Add an HTTPS origin allowlist, embed the script, and configure channel_grants_v1 by email or session. For logged-in users, your backend mints a short-lived visitor JWT via POST /v1/widget/{widget_id}/visitor-token using your widget secret, then the browser passes it as X-Visitor-Token. Setup: /docs/volt/web-chat

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