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Tools/LangGraph vs Guidance
LangGraph

LangGraph

framework
vs
Guidance

Guidance

framework

LangGraph vs Guidance — Comparison

Overview
What each tool does and who it's for

LangGraph

Build controllable agents with LangGraph, our low-level agent orchestration framework

Design agents
that reliably handle complex tasks with LangGraph, an agent runtime and low-level orchestration framework. Prevent agents from veering off course with easy-to-add moderation and quality controls. Add human-in-the-loop checks to steer and approve agent actions. LangGraph’s low-level primitives provide the flexibility needed to create fully customizable agents. Design diverse control flows — single, multi-agent, hierarchical — all using one framework. LangGraph’s built-in memory stores conversation histories and maintains context over time, enabling rich, personalized interactions across sessions. Bridge user expectations and agent capabilities with native token-by-token streaming, showing agent reasoning and actions in real time. Learn the basics of LangGraph in this LangChain Academy Course. You'll learn about how to leverage state, memory, human-in-the-loop, and more for your agents. Build and ship agents fast with any model provider.
Use high-level abstractions or fine-grained control as needed. “LangChain is streets ahead with what they've put forward with LangGraph. LangGraph sets the foundation for how we can build and scale AI workloads — from conversational agents, complex task automation, to custom LLM-backed experiences that 'just work'. The next chapter in building complex production-ready features with LLMs is agentic, and with LangGraph and LangSmith, LangChain delivers an out-of-the-box solution to iterate quickly, debug immediately, and scale effortlessly.” “LangGraph has been instrumental for our AI development. Its robust framework for building stateful, multi-actor applications with LLMs has transformed how we evaluate and optimize the performance of our AI guest-facing solutions. LangGraph enables granular control over the agent's thought process, which has empowered us to make data-driven and deliberate decisions to meet the diverse needs of our guests.” “As Ally advances its exploration of Generative AI, our tech labs is excited by LangGraph, the new library from LangChain, which is central to our experiments with multi-actor agentic workflows. We are committed to deepening our partnership with LangChain.” Other agentic frameworks can work for simple, generic tasks but fall short for complex tasks bespoke to a company’s needs. LangGraph provides a more expressive framework to handle companies’ unique tasks without restricting users to a single black-box cognitive architecture. LangGraph will not add any overhead to your code and is specifically designed with streaming workflows in mind. Yes. LangGraph is an MIT-licensed open-source library and is free to use. LangSmith, our agent engineering platform, helps developers debug every agent decision, eval changes, and deploy in one click.

Guidance

A guidance language for controlling large language models. - guidance-ai/guidance

I cannot provide a meaningful summary about user opinions on "Guidance" based on the provided social mentions. The mentions appear to be from various unrelated topics (political investigations, immigration surveillance, AI benchmarking, and code updates) and don't contain any reviews or discussions specifically about a software tool called "Guidance." To provide an accurate summary of user sentiment about Guidance, I would need social mentions and reviews that actually discuss the software tool itself, including user experiences, features, pricing, and overall satisfaction.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
2
28,022
GitHub Stars
21,364
4,791
GitHub Forks
1,157
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

LangGraph

0% positive100% neutral0% negative

Guidance

0% positive100% neutral0% negative
Pricing

LangGraph

tiered

Guidance

tiered
Features

Only in LangGraph (7)

How does LangGraph help?Guide, moderate, and control your agent with human-in-the-loopBuild expressive, customizable agent workflowsPersist memory for future interactionsFirst-class streaming for better
UX designLangGraph
FAQsSee what your agent is really doing

Only in Guidance (10)

Set the temperature of the generationCapture the generated page from the Model objectA Pythonic interface for language modelsGuarantee output syntax with constrained generationDebug grammars offline (no model API calls)Create your own Guidance functionsGenerating JSONResourcesLicenseContributing
Developer Ecosystem
232
GitHub Repos
11
17,647
GitHub Followers
236
20
npm Packages
20
25
HuggingFace Models
14
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

LangGraph

overspending (1)API bill (1)token cost (1)expensive API (1)

Guidance

token cost (2)
Product Screenshots

LangGraph

LangGraph screenshot 1LangGraph screenshot 2

Guidance

Guidance screenshot 1
Company Intel
information technology & services
Industry
information technology & services
98
Employees
6,000
$260.0M
Funding
$7.9B
Series B
Stage
Other
Supported Languages & Categories

LangGraph

AI/MLDevOpsDeveloper Tools

Guidance

AI/MLFinTechDevOpsSecurityDeveloper Tools
View LangGraph Profile View Guidance Profile