FareedKhan-dev/all-agentic-architectures

Health v2 · maintenance only

Adoption not part of the score

4154 stars · 732 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Python library packaging 35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, etc.) as runnable Architecture classes with a uniform contract, built on LangGraph. It doubles as a living textbook with executed Jupyter notebooks and includes a 17-task benchmark leaderboard comparing patterns across 9 LLM providers.

Use cases

• implement agentic AI patterns like Reflexion or Tree of Thoughts in Python
• compare agent architectures on a benchmark before choosing one
• learn how GraphRAG or MemGPT work with real executed examples
• build a multi-provider LLM agent without vendor lock-in
• study agentic RAG variants like Corrective RAG and Self-RAG
• run a benchmark leaderboard of agent patterns across tasks
• add memory or self-critique loops to an LLM application

When to choose

• you want runnable, tested implementations of many agentic patterns in one library
• you need provider-agnostic LLM support across OpenAI, Anthropic, Groq, Ollama, and others
• you are learning agent architectures and want theory backed by real captured runs
• you want to benchmark which agent pattern suits your task family

When to avoid

• you need a production agent orchestration platform rather than reference implementations
• you want a no-code or GUI agent builder
• you only need a single simple agent without studying architecture trade-offs
• you cannot provide API keys or run LLM calls, since examples execute real models

Facets

library · maturity active

agent-framework rag llm-inference benchmarking machine-learning prompt-engineering chatbot artificial-intelligence large-language-models machine-learning developer-tools tutorials python cross-platform cli agentic-ai langgraph langchain jupyter-notebook llm-providers reflection-patterns graphrag memgpt tree-of-thoughts benchmark-leaderboard textbook multi-provider-llm ai-agents retrieval-augmented-generation

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