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AIPACK - Run, Build, and Share AI Packs

Open-source Agentic Runtime to run, build, and share AI Packs.

  • Simple & Powerful – 1 Agent = 1 multi-stage Markdown file with built-in concurrency, Map-Reduce, and all APIs in a single aip-doc page.

  • Light & Lean – No bloat, < 20MB, single executable, ZERO dependencies.

  • Efficient – Engine written in Rust with a lightweight and efficient embedded Lua script. All aip functions are implemented in Rust.

  • Multi-AI – Supports all major AI providers and models at the native layer. For example, it can use zero thinking budget with Gemini models.

  • Local or Cloud – Runs locally, is completely IDE-agnostic, or runs in the cloud, on a server or serverless.

Check out:

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Quick Start

Install From Binaries

Mac, Linux, Windows, ARM & x86 platforms are supported. See blow how to install the binaries.

(More info at aipack.ai/doc/install)

Mac

# Mac ARM / Apple Silicon
curl -O https://repo.aipack.ai/aip-dist/stable/latest/aarch64-apple-darwin/aip.tar.gz && \
        tar -xvf aip.tar.gz && \
        ./aip self setup

# Mac x86
curl -O https://repo.aipack.ai/aip-dist/stable/latest/x86_64-apple-darwin/aip.tar.gz && \
        tar -xvf aip.tar.gz && \
        ./aip self setup        

Linux

# Linux x86
curl -O https://repo.aipack.ai/aip-dist/stable/latest/x86_64-unknown-linux-gnu/aip.tar.gz && \
        tar -xvf aip.tar.gz && \
        ./aip self setup

# Linux ARM
curl -O https://repo.aipack.ai/aip-dist/stable/latest/aarch64-unknown-linux-gnu/aip.tar.gz && \
        tar -xvf aip.tar.gz && \
        ./aip self setup

Windows

# Windows x86
Invoke-WebRequest -Uri "https://repo.aipack.ai/aip-dist/stable/latest/x86_64-pc-windows-msvc/aip.tar.gz" -OutFile "aip.tar.gz"
tar -xvf aip.tar.gz
.\aip.exe self setup
     

# Windows ARM
Invoke-WebRequest -Uri "https://repo.aipack.ai/aip-dist/stable/latest/aarch64-pc-windows-msvc/aip.tar.gz" -OutFile "aip.tar.gz"
tar -xvf aip.tar.gz
.\aip.exe self setup

Install from source

For now, installation requires building directly from source via Rust. Works on all major OSes.

Run

# In the terminal, go to your project
cd /path/to/my/project/

# Initialize workspace .aipack/ and ~/.aipack-base
aip init

# Make sure to export the desired API key (no spaces around `=` unix convention)
export OPENAI_API_KEY="sk...."
export ANTHROPIC_API_KEY="...."
export GEMINI_API_KEY="..."
# For more keys, see below

# Check the keys you setup
aip check-keys

# To proofread your README.md (namespace: demo, pack_name: proof)
aip run demo@proof -f ./README.md

# You can just use @pack_name if there is no other pack with this name
aip run @proof -f ./README.md

# To do some code crafting (will create `_craft-code.md`)
aip run demo@craft/code

# Or run your .aip file (you can omit the .aip extension)
aip run path/to/file.aip

# This is a good agent to run to ask questions about aipack
# It can even generate aipack code
aip run core@ask-aipack
# The prompt file will be at `.aipack/.prompt/core@ask-aipack/ask-prompt.md`

Thanks to

pro@coder

  • You can install pro@coder with aip install pro@coder, and then
  • Run it with aip run pro@coder or aip run @coder if you don't have any other @coder pack in a different namespace.

This is the agent I use every day for my production coding.

IMPORTANT 1: Make sure everything is committed before use (at least while you are learning about aipack).

IMPORTANT 2: Make sure to have your API_KEY set as an environment variable (on Mac, there is experimental keychain support).

OPENAI_API_KEY
ANTHROPIC_API_KEY
GEMINI_API_KEY
XAI_API_KEY
DEEPSEEK_API_KEY
GROQ_API_KEY
COHERE_API_KEY

More Info

  • Website: https://aipack.ai

  • AIPACK Overview Video

  • Preview 'devai' intro video for v0.5

  • Built on top of the Rust genai library, which supports many top AI providers and models (OpenAI, Anthropic, Gemini, DeepSeek, Groq, Ollama, xAI, and Cohere).

  • Top new features: (see full details CHANGELOG)

    • 2025-04-13 (v0.7.0) - BIG RELEASE - Windows Support (x86 & Arm), and more
    • 2025-04-08 (v0.6.17) - Binaries available (mac/linux), pro@coder, pro@rust10x
    • 2025-03-28 - (v0.6.15) - new: aip check-keys
    • 2025-03-25 (v0.6.14) - agent - add aip.flow.data_response({input?, data?, options?}) (e.g., model override by input)
    • 2025-03-20 (v0.6.12) - Now can call agent within agents aip.agent.run(agent_name, {inputs?, options?})
    • 2025-03-12 (v0.6.9) - Now supports namespace@pack_name/some/**/*.* for all aip.file..
    • 2025-03-02 (v0.6.7) - Fixes and tune-up. Pack install test and other refactoring
    • 2025-02-28 (v0.6.3) - aip pack .., aip install local..., ai_response.price_usd, and more
    • 2025-02-26 (v0.6.0) - BIG UPDATE - to AIPACK, now with pack support (e.g., aip run demo@craft/code)**
    • 2025-02-22 (v0.5.11) - Huge update with parametric agents and coder (more info soon)
    • 2025-01-27 (v0.5.9) - DeepSeek distill models support for Groq and Ollama (local)
    • 2025-01-23 (v0.5.7) - aipack run craft/text or aipack run craft/code (example of new agent module support)
    • 2025-01-06 (v0.5.4) - DeepSeek deepseek-chat support
    • 2024-12-08 (v0.5.1) - Added support for xAI

How it works

  • One Agent == One Markdown
    • An .aip agent file is just a Markdown file with sections for each stage of the agent's processing.
    • See below for all the possible stages.
  • aip run demo@proof -f "./*.md"
    • will run the installed agent file main.aip in the
    • pack named proof
    • namespace demo
    • agent file main.aip
    • Full path ~/.aipack-base/pack/installed/demo/proof/main.aip
    • You can pass input to your agent using:
      • -f "path/with/optional/**/glob.*" -f "README.md" (the Lua code will receive a {path = .., name =..} FileInfo-like structure as input)
      • -i "some string" -i "another input" (the Lua code will receive these strings as input)
      • Each input triggers one run of the agent.
  • aip run some/path/to/agent
    • If the path ends with .aip, it's treated as a direct file run.
    • If there is no .aip extension, then:
      • .../agent.aip will be executed if it exists.
      • or .../agent/main.aip will be executed if it exists.
  • aipack agents are simple .aip files that can be placed anywhere on disk.
    • e.g., aipack run ./my-path/to/my-agent.aip ...
  • Multi AI Provider / Models - aipack uses genai and therefore supports providers like OpenAI, Anthropic, Gemini, Groq, Ollama, Cohere, and more.
  • Lua is used for all scripting (thanks to the great mlua crate).
  • Handlebars is used for all prompt templating (thanks to the great Rust native handlebars crate).

Multi Stage

A single aipack file may comprise any of the following stages.

Stage Language Description
# Before All Lua Reshape/generate inputs and add global data to the command scope (the "map" part of map/reduce).
# Data Lua Gather additional data per input and return it for the next stages.
# System Handlebars Customize the system prompt using data from # Before All and # Data.
# Instruction Handlebars Customize the instruction prompt using data from # Before All and # Data.
# Assistant Handlebars Optional for special customizations, such as the "Jedi Mind Trick."
# Output Lua Processes the ai_response from the LLM. If not defined, ai_response.content is output to the terminal.
# After All Lua Called with inputs and outputs for post-processing after all input processing is complete (the "reduce" part of map/reduce).
  • # Before All and # After All act like the map and reduce steps, running before and after the main input processing loop, respectively.

more info on stages

See the aipack documentation at core/doc/README.md (with the Lua modules doc).

You can also run the ask-aipack agent.

# IMPORTANT: Make sure you have the `OPENAI_API_KEY` (or the key for your desired model) set in your environment
aip run core@ask-aipack
# The prompt file will be at `.aipack/.prompt/core@ask-aipack/ask-prompt.md`

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