Skip to content
Menu

ECOSYSTEM · NEX

The Repo Atlas.

202 open-source projects, mapped into 19 categories — the tools the workshop builds on and the ones worth knowing. From agent frameworks to local inference, training, evaluation, vector databases, coding agents, and creative models. Every link goes straight to the source.

Agents · 30

Frameworks and platforms for building autonomous and multi-agent systems.

AutoGen

Microsoft's multi-agent conversation framework.

AG2

Community fork of AutoGen (AgentOS).

CrewAI

Role-playing collaborative agent crews.

LangGraph

Stateful, graph-based multi-agent orchestration.

CAMEL

Communicative agents for scaling role-play.

IoA (Internet of Agents)

Framework for agents from different ecosystems to collaborate.

SuperAGI

Dev-first autonomous agent framework.

LangChain

The foundational LLM application framework.

LlamaIndex

Data framework for RAG and knowledge agents.

Semantic Kernel

Microsoft SDK to embed LLMs into apps.

phidata / Agno

Build agents with memory, tools, and knowledge.

Haystack

LLM orchestration and RAG pipeline framework.

Odysseus

Autonomous agent experiment.

AutoGPT

The original autonomous-agent platform.

BabyAGI

Minimal task-driven autonomous agent.

MetaGPT

A multi-agent software company in code.

OpenHands

Autonomous AI software engineer (ex-OpenDevin).

Agent-Reach

Agent outreach/automation project.

agency-agents

Agent agency experiments.

Social-GPT agent

Autonomous social-media agent.

E2B

Secure cloud sandboxes for AI agents and code.

ai-agents-frameworks

Comparison of agent frameworks.

Moltbot

OpenClaw-family personal assistant bot.

career-ops

Agent-driven career operations.

karpathy/skills

Andrej Karpathy's agent skills collection.

Trellis

Structured agent workflows.

smolagents

Hugging Face's minimal agent library.

ml-intern

Hugging Face ML intern agent.

TradingAgents

Multi-agent LLM financial-trading framework.

pi-mono

Agent tooling monorepo (Mario Zechner).

Inference & Infrastructure · 7

Serve and run models — from a laptop to a datacenter.

Training & Fine-tuning · 7

Teach models new tricks — fine-tunes, LoRA, and large-scale training.

Evaluation · 6

Measure whether the model actually works.

MCP (Model Context Protocol) · 9

Servers and tools for the open protocol that connects agents to everything.

Vector & RAG · 7

Store embeddings and retrieve knowledge for grounded answers.

Observability · 6

See what your agents and models are actually doing.

Automation · 5

Wire tools together — visual workflow builders and low-code glue.

Coding Agents & Tools · 16

AI that writes, reviews, and runs code.

Creative & Media · 21

Image, video, audio, and voice generation.

Multimodal · 4

Models that see as well as read.

Private / Local Assistants · 6

Own-your-data chat and assistants that run on your hardware.

AI Security & Guardrails · 6

Keep models and agents safe, aligned, and un-jailbroken.

Quantization & Optimization · 5

Make models smaller and faster.

Prompting & Programming LLMs · 4

Move beyond prompt strings to structured, testable programs.

Learning & Awesome Lists · 25

Where to start and how to go deep — curated lists, books, and courses in code.

Scraping & Data Collection · 3

Feed your agents the web.

Utilities & Tools · 28

The odds and ends that make everything else easier.

Platforms & UIs · 7

Full products and hubs you can self-host or build on.

← Back to the ecosystem