What roles are involved in a Yajña execution?

The framework uses four roles: Hotṛ for research, Adhvaryu for implementation, Udgātṛ for testing/validation, and Brahman for synthesis and coordination.

How does Yajña differ from a standard agent swarm?

While a swarm typically involves multiple agents debating a single question, Yajña focuses on the coordination of distinct, specialized tasks (like research vs. coding) toward a unified goal.

What is the Yajña skill for Claude Code?

Yajña is a skill that enables Claude to coordinate multiple specialized agents to work on different parts of a complex task simultaneously, using a structured ritual-based framework.

Can agents communicate with each other during a Yajña?

Yes, agents use a shared memory pattern called 'chitta' to write signals and recall information by thread IDs, ensuring all roles remain synchronized.

Yajña Multi-Agent Orchestrator

Name: Yajña Multi-Agent Orchestrator
Author: genomewalker

bygenomewalker

0•

Productivity & Workflow

Orchestrates specialized AI agents using Vedic ritual patterns to execute complex, parallel development tasks efficiently.

Yajña is a sophisticated multi-agent coordination skill for Claude Code that leverages Vedic ritual patterns to manage complex, multi-faceted projects. By assigning specialized roles—research (hotṛ), implementation (adhvaryu), and validation (udgātṛ)—to parallel processes while maintaining a centralized coordinating authority (brahman), it enables the simultaneous execution of distinct tasks through a shared memory system. This framework is ideal for scenarios where a plan involves parallelizable workflows, requiring different domains of expertise to function in harmony without the bottlenecks typical of sequential execution.

Key Features

01Centralized synthesis and coordination by the 'brahman' agent

020 GitHub stars

03Inter-agent communication through structured signal tagging and recall

04Parallel task execution with shared memory via 'chitta' patterns

05Role-based delegation including research, implementation, and validation roles

06Structured narration of the execution lifecycle from start to synthesis

Use Cases

01Executing complex refactors where research, coding, and testing occur simultaneously

02Coordinating large-scale system migrations involving multiple independent subsystems

03High-velocity feature development requiring real-time implementation and validation

Key Features

01Centralized synthesis and coordination by the 'brahman' agent

020 GitHub stars

03Inter-agent communication through structured signal tagging and recall

04Parallel task execution with shared memory via 'chitta' patterns

05Role-based delegation including research, implementation, and validation roles

06Structured narration of the execution lifecycle from start to synthesis

Use Cases

01Executing complex refactors where research, coding, and testing occur simultaneously

02Coordinating large-scale system migrations involving multiple independent subsystems

03High-velocity feature development requiring real-time implementation and validation