Agentic Blueprints 29

Self-Evolving Agent

io.github.shubhamsaboo/ai-self-evolving-agent

Custom

An EvoAgentX system that generates its own multi-agent workflow for a goal, executes it, verifies the result, and repairs itself.

Multi-Agent Debate

io.github.microsoft/multi-agent-debate

Autogen

Several solver agents answer the same problem, read each other's answers, and revise over rounds until the majority converges.

Mixture of Agents

io.github.microsoft/mixture-of-agents

Autogen

Layers of worker agents refine the previous layer's answers, with an orchestrator combining them into a stronger final response.

Group Chat (AutoGen pattern)

io.github.microsoft/group-chat-pattern

Autogen

A group-chat manager coordinates role agents — writer, editor, and friends — publishing turns to a shared conversation.

Sequential Workflow (AutoGen pattern)

io.github.microsoft/sequential-workflow-pattern

Autogen

Four agents in a strict pipeline, each transforming the previous agent's output — the assembly-line shape, minimal and clean.

Semantic Router

io.github.microsoft/semantic-router

Autogen

A semantic router classifies each incoming message and dispatches it to the right agent over a distributed pub/sub runtime.

Reflection (AutoGen pattern)

io.github.microsoft/reflection-pattern

Autogen

A coder agent and a reviewer agent in a critique loop: code, review, revise, until the reviewer approves.

Negotiation Battle Simulator

io.github.shubhamsaboo/ai-negotiation-battle-simulator

Custom

Two agents negotiate against each other in a simulated deal — agent-vs-agent with a live UI, built on Google ADK and AG-UI.

Magentic-One

io.github.microsoft/magentic-one

Autogen

Microsoft's generalist five-agent team: an orchestrator directing a web surfer, file surfer, coder, and terminal to solve open-ended tasks.

Selector Group Chat

io.github.microsoft/selector-group-chat

Autogen

An LLM selector reads the conversation and picks which agent speaks next — planner, searcher, or analyst — instead of a fixed turn order.

Distributed Group Chat

io.github.microsoft/distributed-group-chat

Autogen

A writer and an editor collaborate in a group chat where every agent runs in a separate distributed runtime, talking over gRPC.

Handoffs (AutoGen pattern)

io.github.microsoft/handoffs-pattern

Autogen

Swarm-style handoffs in AutoGen: triage, sales, and refund agents transfer the conversation to whoever should own it next.

Concurrent Agents (AutoGen pattern)

io.github.microsoft/concurrent-agents-pattern

Autogen

Fan a task out to multiple agents at once and gather their results — AutoGen's minimal parallel pattern.

Self-Discover

io.github.langchain-ai/self-discover

LangGraph

The agent first composes its own reasoning structure from atomic modules, then solves the task by following the structure it built.

Hierarchical Agent Teams

io.github.langchain-ai/hierarchical-agent-teams

LangGraph

A supervisor of supervisors: a top-level orchestrator directs a research team and a document-writing team, each with its own internal supervisor.

Self-RAG

io.github.langchain-ai/self-rag

LangGraph

Retrieval with self-reflection at every step: grade the documents, check the answer for hallucination, and loop until it's grounded.

Multi-Agent Collaboration

io.github.langchain-ai/multi-agent-collaboration

LangGraph

A researcher agent and a chart-generator agent divide a task and route work between themselves until the answer is a finished chart.

Plan-and-Execute (LangGraph tutorial)

io.github.langchain-ai/plan-and-execute-tutorial

LangGraph

The original plan-and-execute notebook: a planner writes the step list, an executor works through it, and a replanner revises as results come in.

ReWOO

io.github.langchain-ai/rewoo

LangGraph

Reasoning without observation: a planner writes the full tool plan up front with variable substitution, workers fill it in, a solver answers.

LATS (Language Agent Tree Search)

io.github.langchain-ai/lats

LangGraph

Monte-Carlo tree search over agent actions: generate candidates, reflect and score them, expand the best branches until one solves the task.

Reflection (LangGraph tutorial)

io.github.langchain-ai/reflection-tutorial

LangGraph

The essay-writing reflection loop: a generator drafts, a reflector critiques as a teacher grading, and the loop repeats a fixed number of rounds.

Reflexion

io.github.langchain-ai/reflexion

LangGraph

An answerer that critiques itself with citations: draft, self-review for missing and superfluous content, search to fill gaps, revise.

LLMCompiler

io.github.langchain-ai/llm-compiler

LangGraph

A planner streams a DAG of tasks, workers execute them in parallel as dependencies clear, and a joiner decides to finish or replan.

Adaptive RAG

io.github.langchain-ai/adaptive-rag

LangGraph

Routes each question to the right retrieval strategy, grades what comes back, and falls back to web search when the index can't answer.