AIchitect
StacksGraphBuilderSimulateCompareGenomeActivityPulse
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 →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
Browse all categories →
Agent FrameworksOSS

LangGraph

⭐ 8,000 GitHub stars
Last commit: —· synced today
Health:95/100 — Active
Full page ↗

Build stateful multi-actor applications as directed graphs. Part of the LangChain ecosystem. Strong for complex agentic workflows.

90-day trajectory · health score + stars

Pricing

Free tier
Website ↗GitHub ↗

Connections

Cursor
often used withCompare →
CrewAI
competes withCompare →
LangChain
integrates withCompare →
LangSmith
integrates withCompare →
LiteLLM
integrates withCompare →
LlamaIndex
often used withCompare →
Langfuse
integrates withCompare →
Qdrant
often used withCompare →

Featured in stacks

Multi-Agent DevOps Stack
Browser AI / Web Agent Stack
Multi-Modal RAG Stack
Enterprise RAG Stack
Memory-Augmented Agent Stack

Ruled out by 15 stacks

Indie Hacker / Startup Stack
“Orchestration overhead kills solo velocity at this stage”
AI Design-to-Code Pipeline
“No pipeline orchestration needed — it's a linear design-to-component flow”
MCP Power User Stack
“Full orchestration framework is overkill when MCP handles tool dispatch natively”
No-Code AI Automation Stack
“Requires Python and graph programming knowledge — defeats the point”
TypeScript-Only AI Stack
“Python-native orchestration — Mastra covers the same ground in TypeScript”
LLM Production Infra Stack
“Stateful agent orchestration is overkill for a request-response LLM product”
Evaluation & Quality Stack
“Agent orchestration — irrelevant when the objective is measuring output quality, not running agents”
LLM Cost Reduction Stack
“Adding orchestration complexity during a cost-reduction sprint introduces new failure modes”
Legacy App + AI Stack
“Full agent framework adds complexity before you've validated basic AI integration works”
Document Intelligence Stack
“Multi-step agent orchestration; extraction is a structured, repeatable transform, not an agent task”
AI Guardrails Stack
“Agent orchestration; guardrails apply universally to all LLM calls regardless of agent structure”
Vibe Coding Stack
“Complex agent orchestration is premature at the prototype stage — validate the idea first, then add infrastructure”
Async AI Coding Team
“Coding agents from frontier labs ship their own orchestration; LangGraph adds a layer the team does not need at this scale.”
Solo PM Product Stack
“Solo PM does not need agent orchestration overhead”
Multimodal Creator Stack
“Orchestration overhead a creator does not need”