GAIRDS / AI Agent SDK Research-Grade Infrastructure for Autonomous AI Agents

AI Agent SDK

The AI Agent SDK by Gautam AI enables developers and researchers to design, deploy, and govern autonomous AI agents with controlled reasoning, safety constraints, and research-grade observability.

Overview

This SDK is designed for building system-level AI agents, not chatbots. Agents can reason, plan, collaborate, and operate under human-in-the-loop governance.

Installation

pip install gautam-ai-agents

Creating an Agent

from gautamai import Agent

agent = Agent(
    name="ResearchAgent",
    role="Hypothesis Testing",
    autonomy="controlled"
)

agent.run()

Autonomy modes: manual · controlled · autonomous

Core Capabilities

• Autonomous reasoning & planning
• Short-term and long-term memory
• Multi-agent collaboration
• Tool & API execution
• Human-in-the-loop safety controls

Multi-Agent Collaboration

from gautamai import Agent, AgentGroup

planner = Agent(name="Planner", role="Planning")
executor = Agent(name="Executor", role="Execution")

team = AgentGroup([planner, executor])
team.run()

Research Space Integration

Agents can be connected to the GAIRDS Research Space for experiment tracking, reproducibility, and certification.

agent.connect(
  research_space="GAIRDS",
  experiment_id="GA-EXP-2025-017",
  log_level="full",
  reproducibility=True
)

Governance & Safety

• Permission-based tool execution
• Ethics and policy enforcement
• Audit-ready logs
• Human approval checkpoints

© 2025 Gautam AI International Pvt. Ltd. · AI Agent SDK · Research-Grade Systems