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235 tools · 33 stacks

AI tools are all over the place. This is the full landscape — 247 tools across 21 categories, mapped and connected. Ready to narrow it down? Build your stack →

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Pipelines & RAGOSS

LangChain

⭐ 93,000 GitHub stars
Last commit: —· synced today
Health:100/100 — Active
Full page ↗

Most widely used framework for building LLM applications. Chains, agents, RAG pipelines, and deep integrations with 300+ tools.

90-day trajectory · health score + stars

Pricing

Free tier
Website ↗GitHub ↗

Connections

OpenHands
integrates withCompare →
CrewAI
integrates withCompare →
AutoGen
often used withCompare →
LangGraph
integrates withCompare →
Semantic Kernel
competes withCompare →
LangSmith
integrates withCompare →
LlamaIndex
often used withCompare →
Qdrant
integrates withCompare →

Featured in stacks

Legacy App + AI Stack
Research & Synthesis Stack

Ruled out by 10 stacks

TypeScript-Only AI Stack
“Primary SDK is Python-first; TypeScript port lags significantly behind”
LLM Production Infra Stack
“Abstractions add complexity when LiteLLM already handles the provider normalization layer”
Multi-Modal RAG Stack
“LlamaIndex's multimodal parsing is significantly more mature for mixed-format documents”
AI Red-Team / Security Stack
“Orchestration framework — not designed for adversarial prompt testing”
Fine-Tuning Pipeline
“Inference orchestration layer — irrelevant during the training phase”
Document Intelligence Stack
“General orchestration; LlamaIndex's document parsing is purpose-built for this extraction pattern”
Memory-Augmented Agent Stack
“LangGraph provides tighter per-step state control for multi-turn agents that need memory at each decision point”
AI Guardrails Stack
“Orchestration framework; guardrails sit below the application code at the infrastructure layer”
Graph RAG Stack
“General orchestration layer; LightRAG's dual-level retrieval is self-contained and doesn't require a separate chain orchestrator”
Vibe Coding Stack
“Python-first framework; Lovable's generated stack is TypeScript/React — adding Python introduces a language boundary before the product is proven”