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Welcome to SVAHNAR Documentation

Explore guides, SDKs, and walkthroughs to help you build, test, and deploy AI agents efficiently using the SVAHNAR Platform.

The SVAHNAR Agentic AI Framework simplifies deployment and hosting of your agents, both internally and externally, via the Agent Store. Additionally, you can serve your agents through Agents over API service.

Quickstart

Create your first AI Agent in two minutes using SVAHNAR SDK.

from svahnar import Svahnar

client = Svahnar()

response = client.agents.create(
    name="Web Search Agent",
    description="This Agent is used to search for the information on web or internet and provide the result",
    deploy_to="Organization",
    yaml_content=Path("agent.yaml")
)
print(response)


Agent Console

Create your first AI Agent in seconds using SVAHNAR Agent Console.



Agent Console



Explore SVAHNAR Features​

AI Framework

Build and orchestrate single agents or agentic networks using the Python SDK.

Learn Framework

Agents API

Programmatically validate, test, run, and manage your AI agent instances.

Explore API

Keyvault

Securely store, retrieve, and revoke credentials and API keys used by your agents.

Secure Keys

MCP

Use Model Context Protocol to seamlessly connect agents to external tools and context.

Configure MCP

Tools

Equip your agents with Google Search, Finance APIs, and Human-in-the-Loop workflows.

Equip Tools

Knowledge Repo

Connect documents, file databases, and vector storage to agent memory.

Connect Memory

OAuth Connections

Set up Slack, Google, GitHub, Outlook, and other OAuth integration services for agent actions.

Manage OAuth

Guides & Resources

Access conversion guides, configuration schemas, and other resources.

View Resources