Gayatri Agent SDK
Universal Contract & Execution Harness for Modular Multi-Agent Systems
Architecture & Core Mechanics
The Gayatri Agent SDK enforces strict design patterns for building scalable, testable AI agents. Every agent must extend BaseAgent, accept AgentContext, and return structured AgentResult with confidence scores and citations. The bundled CLI allows developers to run synthetic offline test payloads before deploying agents to production.
Engineering Highlights & Capabilities
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Standardized Agent Contract: Enforces BaseAgent, AgentContext, and AgentResult conventions across all cognitive clusters.
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CLI Offline Runner: `gayatri-agent` CLI tool for testing agent reasoning offline with synthetic test payloads and confidence scoring.
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Powers 47-Agent Mesh: Reusable substrate for Researcher, Document Analyst, Code Reviewer, Policy Evaluator, and Orchestrator agents.
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Zero External Telemetry: Agents execute securely in sandboxed Python environments with deterministic evaluation hooks.
Verification & Test Telemetry
● pip installable · Standardized 3-rule contract · Offline test harness
Technology Blueprint
Repository Access
Access source code, architectural test harnesses, and documentation under the Gayatri-Education organization.
Inspect on GitHub →Explore Other Systems
Interested in deploying or contributing?
Our products are deployed across universities and enterprise pilots. Get in touch with our engineering team.