Orchestration on AI Knowledge Base

Symphony Overview

Mon, 01 Jan 0001 00:00:00 +0000

Symphony turns project work into isolated, autonomous implementation runs. It polls issue trackers, spawns coding agents per issue in isolated workspaces, and manages the full lifecycle from ticket to merged PR.

Symphony Service Specification

Mon, 01 Jan 0001 00:00:00 +0000

Complete technical specification for implementing Symphony: six architectural layers, orchestration state machine, workspace management, agent runner protocol, polling and scheduling, retry semantics, and observability.

Elixir Reference Implementation

Mon, 01 Jan 0001 00:00:00 +0000

Setup and usage guide for Symphony’s experimental Elixir/BEAM reference implementation, leveraging OTP supervision trees for fault-tolerant agent orchestration.

WORKFLOW.md Configuration

Mon, 01 Jan 0001 00:00:00 +0000

The WORKFLOW.md file format: YAML front matter configuring tracker integration, polling intervals, workspace hooks, and agent settings, followed by a markdown prompt template with issue-field substitution.

Orchestration State Machine

Mon, 01 Jan 0001 00:00:00 +0000

Symphony’s state machine for issue lifecycle: polling, dispatch, active run tracking, retry queuing with exponential backoff, and reconciliation of running issues against tracker state changes.

Multi-Agent Systems

Mon, 01 Jan 0001 00:00:00 +0000

Explore how to build systems with multiple cooperating AI agents. Compare approaches across eight frameworks: Anthropic Agent SDK, OpenAI Agents SDK, CrewAI, LangGraph, Google ADK, Microsoft Agent Framework, AutoGen, and OpenAI Symphony — plus the A2A protocol for cross-platform agent communication.

Each framework embodies a different orchestration paradigm: delegation, handoffs, crews, state machines, workflow agents, enterprise graphs, group chat, and autonomous work management. Understanding the design space helps you pick the right tool for your architecture.

Agent Framework Overview

Mon, 01 Jan 0001 00:00:00 +0000

Introduction to Microsoft Agent Framework: combining AutoGen’s agent abstractions with Semantic Kernel’s enterprise features for production-grade multi-agent orchestration.

AutoGen Overview

Mon, 01 Jan 0001 00:00:00 +0000

AutoGen is a programming framework for building multi-agent AI systems through conversational agents that collaborate, use tools, and execute code. Now in maintenance mode — see Microsoft Agent Framework.

GroupChat Pattern

Mon, 01 Jan 0001 00:00:00 +0000

AutoGen’s GroupChat coordinates multiple agents through managed conversation turns with configurable speaker selection strategies (round-robin, LLM-driven, or custom).

Migration from AutoGen

Mon, 01 Jan 0001 00:00:00 +0000

Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts, workflow migration, and new enterprise features.

Migration to Agent Framework

Mon, 01 Jan 0001 00:00:00 +0000

Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts to the unified framework.

Multi-agent systems

Mon, 01 Jan 0001 00:00:00 +0000

Build multi-agent systems in ADK by composing LLM agents and workflow agents into hierarchical teams with shared state and tool delegation.

Workflow Agents

Mon, 01 Jan 0001 00:00:00 +0000

Workflow agents provide deterministic orchestration without LLM overhead: sequential, parallel, and loop patterns for composing agent execution.

Workflow Edges

Mon, 01 Jan 0001 00:00:00 +0000

Edge types for controlling workflow transitions: conditional routing, parallel fan-out, and convergence patterns.

Workflows Overview

Mon, 01 Jan 0001 00:00:00 +0000

Graph-based workflow orchestration: defining agents as nodes, transitions as edges, and execution strategies (sequential, parallel, conditional).

Workflows Tutorial

Mon, 01 Jan 0001 00:00:00 +0000

Tutorial on defining graph-based multi-agent workflows with executors and edges.