AI Ecosystem Map & Categories

11 tracked AI open-source categories mapped by momentum, velocity, and architectural layer.

🗺️ Open Source AI Architectural Landscape

The AI open-source ecosystem is organized into core layers ranging from foundational LLM frameworks and local inference runtimes to autonomous agent harnesses and Model Context Protocol (MCP) toolchains.

Evaluation & Benchmarks63AI Agents1285AI Coding Tools1729AI Infrastructure184Generative AI109RAG795MCP1217AI Safety & Alignment45LLM Frameworks1267Local AI904Multimodal AI94

Category Momentum Intelligence

Refreshed 6x daily
Velocity
65.2
Avg Stars
1.7k
Health
62.2
Top Project
langfuse/langfuse ↗

AI Agents

1285 repos
Velocity
64.3
Avg Stars
6.6k
Health
59.3
Top Project
openclaw/openclaw ↗

AI Coding Tools

1729 repos
Velocity
63.5
Avg Stars
5.9k
Health
57.9
Top Project
jwasham/coding-interview-university ↗
Velocity
62.8
Avg Stars
13.1k
Health
58.2
Top Project
firecrawl/firecrawl ↗

Generative AI

109 repos
Velocity
62.7
Avg Stars
15.2k
Health
56.2
Top Project
f/prompts.chat ↗

RAG

795 repos
Velocity
61.8
Avg Stars
2.5k
Health
58.4
Top Project
langgenius/dify ↗

MCP

1217 repos
Velocity
61.3
Avg Stars
2.4k
Health
58.9
Top Project
punkpeye/awesome-mcp-servers ↗
Velocity
60.9
Avg Stars
4.6k
Health
58.6
Top Project
elder-plinius/CL4R1T4S ↗

LLM Frameworks

1267 repos
Velocity
59.7
Avg Stars
4.2k
Health
56.8
Top Project
deepseek-ai/deepseek-harness ↗

Local AI

904 repos
Velocity
59.1
Avg Stars
3.1k
Health
60.3
Top Project
ollama/ollama ↗
Velocity
59.1
Avg Stars
6.3k
Health
60.6
Top Project
huggingface/transformers ↗