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parthsareen/llama-stack

Analysis updated 2026-07-18 · repo last pushed 2024-12-06

Audience · developerComplexity · 3/5StaleSetup · moderate

TLDR

Llama Stack is a toolkit of pre-built building blocks, inference, memory, safety, and agents, for building AI apps with Meta's Llama models across any environment.

Mindmap

mindmap
  root((repo))
    What it does
      Standardized AI APIs
      Inference and memory
      Safety and agent logic
    Tech stack
      REST APIs
      Python
      JavaScript Swift Kotlin
    Use cases
      Prototype chatbots
      Deploy automated agents
      Fine tune and evaluate models
    Audience
      Startups
      Enterprise AI teams
    Setup
      Choose a provider
      Run local with Ollama
      Move to cloud unchanged

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Prototype a chatbot locally, then move to production infrastructure without rewriting code.

USE CASE 2

Automate enterprise workflows with agents that use consistent inference and safety APIs.

USE CASE 3

Fine-tune and evaluate Llama models using the same toolkit across environments.

USE CASE 4

Build a multi-language AI app using the Python, JavaScript, Swift, or Kotlin client libraries.

What is it built with?

PythonREST APIJavaScriptSwiftKotlin

How does it compare?

parthsareen/llama-stack0verflowme/alarm-clock0verflowme/seclists
Language—CSS—
Last pushed2024-12-062022-10-032020-05-03
MaintenanceStaleDormantDormant
Setup difficultymoderateeasyeasy
Complexity3/52/51/5
Audiencedevelopervibe coderops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

Requires choosing and configuring a provider (local, hosted, or Meta's reference implementation).

Copy-paste prompts

Prompt 1
Show me how to run Llama Stack locally using Ollama as the provider.
Prompt 2
Help me build a simple chatbot using Llama Stack's inference and memory APIs.
Prompt 3
Explain how Llama Stack lets me move from local development to a cloud provider like Fireworks or Together AI.
Prompt 4
Walk me through setting up safety checks for an agent built with Llama Stack.

Frequently asked questions

What is llama-stack?

Llama Stack is a toolkit of pre-built building blocks, inference, memory, safety, and agents, for building AI apps with Meta's Llama models across any environment.

Is llama-stack actively maintained?

Stale — no commits in 1-2 years (last push 2024-12-06).

How hard is llama-stack to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is llama-stack for?

Mainly developer.

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