aipack
App Listed
Run, Build, Share your AI Packs
- Downloads
- 21
- Dependents
- Not applicable
- Stars
- 224
- Forks
- 30
- Contributors
- 5
- Commits
- 1,980
- Latest release
- 0.8.37 ·
About
AIPack - Run, Build, and Share AI Packs
An 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 on 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
aipfunctions are implemented in Rust.Multi-AI, Supports all major AI providers and models (OpenAI, Google, Anthropic, xAI, Ollama, Groq, Fireworks.ai, ...) at the native layer for the major ones. For example, it can use Gemini models with zero thinking budget.
Local or Cloud, Runs locally, is completely IDE-agnostic, or runs in the cloud, on a server or serverless.
BIG UPDATE 0.8.x WITH NEW TUI
Check out:
https://aipack.ai for more information and links, AIPack News & Blog Posts
AIPack Lab Repo for some cool examples.
Read the full README
- Video: AIPack Concept Video
- Video: Build Agent Getting Started Video Tutorial
- Video: Production Coding With pro@coder AI PACK
- Video: Example generate doc from code
- Video: pro@coder with pro@rust10x Rust best practices
- Video: AIPack Playlist
Quick Start
Install From Binaries
Mac, Linux, and Windows on ARM and x86 platforms are supported. See below for binary installation instructions.
(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 with Rust. It works on all major OSes.
- Install Rust: https://www.rust-lang.org/tools/install
- For now, install with
cargo install aipack
Run
# In the terminal, navigate 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've set up
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 that name
aip run @proof -f ./README.md
Install From Git
Install a pack directly from a Git repository. Use an explicit # selector
when the pack is located in a repository subdirectory:
aip install git://git.example.com/team/example-pack.git
# with path to the pack dir
aip install git://git.example.com/team/example-pack.git#path/to/pack_dir
# with auth
aip install git+ssh://git@github.com/owner/example-pack.git#path/to/pack_dir
# or with the SCP way (the copy/paste from github for example)
aip install git@github.com:owner/example-pack.git
The repository portion before # is cloned. Without a selector, the cloned
repository root must contain pack.toml. With a selector, the selected
directory must contain pack.toml. The manifest's namespace and name
fields determine the installed path under
~/.aipack-base/pack/installed/<namespace>/<name>.
Pack paths are selected only with an explicit # selector. A path after .git
without # is not inferred as a pack path. Ordinary http:// and https://
links continue to be treated as downloadable .aipack archives.
Git installations resolve the checked-out commit and record its full hash as
[installed].commit in the copied pack.toml. When a selected subpath is
used, [installed].source retains the original Git URL and selector.
Thanks to
- Stephane Philipakis, a key aipack collaborator.
- savi0ur for PR #67 - ^ run - Add 'allow_run_on_task_fail' option
- Diaa Kasem for
--non-interactive/--ni(Now, inv0.7.x-sor--single-shot) mode (#28)
pro@coder
- You can install
pro@coderwithaip install pro@coder, and then - Run it with
aip run pro@coderoraip run @coderif you don't have any other@coderpack 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, especially while you are learning AIPack.
IMPORTANT 2: Make sure you have your API_KEY set as an environment variable. On macOS, there is experimental keychain support.
OPENAI_API_KEY
ANTHROPIC_API_KEY
GEMINI_API_KEY
DEEPSEEK_API_KEY
KIMI_API_KEY
ZAI_API_KEY
FIREWORKS_API_KEY
TOGETHER_API_KEY
NEBIUS_API_KEY
GROQ_API_KEY
COHERE_API_KEY
XAI_API_KEY
On mac, you can also use OMLX with for example
OMLX_ENDPOINT=http://127.0.0.1:8000/v1/
More Info
Website: https://aipack.ai
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).
See full CHANGELOG
How it works
- One Agent == One Markdown
- An
.aipagent file is just a Markdown file with sections for each stage of the agent's processing. - See below for all the possible stages.
- An
aip run demo@proof -f "./*.md"- will run the installed agent file
main.aipin 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.
- will run the installed agent file
aip run some/path/to/agent- If the path ends with
.aip, it's treated as a direct file run. - If there is no
.aipextension, then:.../agent.aipwill be executed if it exists.- or
.../agent/main.aipwill be executed if it exists.
- If the path ends with
- AIPack agents are simple
.aipfiles that can be placed anywhere on disk.- e.g.,
aipack run ./my-path/to/my-agent.aip ...
- e.g.,
- 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 Alland# After Allact like the map and reduce steps, running before and after the main input processing loop, respectively.
aipack doc
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`
Compatibility
- Runs on
- GPU support unknown
What shows it
- no dependency or feature matches a backend row
- Native code
- Required
- Binds native code: libsqlite3-sys, mlua-sys
- Python bindings
- No Python binding crate found
- License
- Apache-2.0 OR MIT
Compare with similar projects
Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.
| Project | Downloads | Dependents | Stars | Latest release | Runs on (GPU) | Native code | License |
|---|---|---|---|---|---|---|---|
|
Run, Build, Share your AI Packs |
21 downloads over 30 days | Not applicable | 224 | 0.8.37 | GPU support unknown | Binds native code: libsqlite3-sys, mlua-sys | Apache-2.0 OR MIT |
|
async-openai Featured
Rust library for OpenAI |
1,302,033 downloads over 30 days | 275 | 2,031 | 0.43.0 | GPU support unknown | No native code found | MIT |
|
Terminal UI to chat with large language models (LLM) using different model backends, and integrations with your favourite editors! |
5,642 binary downloads per release | Not applicable | 772 | 0.13.0 | GPU support unknown | No native code found | MIT |
|
Plano is an AI-native proxy server and data plane for agentic apps. Smart LLM routing, observability, agent orchestration, and guardrails so you stay focused on your agents core logic. |
211 binary downloads per release | Not applicable | 7,111 | Not measured | Not measured | Apache-2.0 | |
|
elastic inference for your agentic workloads, on your terms |
145 binary downloads per release | Not applicable | 239 | 0.33.0 | GPU support unknown | Binds native code: secp256k1-sys, aws-lc-rs (feature payments-tempo) | Apache-2.0 |
|
High-performance LLM backends proxy with per-user fair-share queuing, round-robin scheduling, and a real-time TUI dashboard. Built in Rust. |
8 downloads over 30 days | Not applicable | 133 | 0.5.0 | GPU support unknown | No native code found | MIT |
|
An open protocol that gives AI agents a secure, sandboxed place to run code and use tools — with lean context usage. AXP works alongside MCP |
Not measured | Not applicable | 3 | Not measured | Not measured | Not measured | Apache-2.0 |
Why ListedNo archive, New or Featured rule places it, so it is Listed.
What it lacks for Featured
- The check holds no value for Homebrew installs on request over 365 days, Repology repository families, Docker pull growth over 90 days. A gate that lacks its signal does not pass.
What else the check found
- The last activity is on 4 Nov 2026, 5 days ago. The rules expect an update within 365 days. Dormancy rule
Not measured: Homebrew installs on request over 365 days, Repology repository families, Docker pull growth over 90 days.
Exact rules: Listed, Featured app. The check on applied thresholds version 9.
Every rule outcome, as the check records it
expected-interval: app: E = 365 daysdormancy: last activity 2026-11-04, 5 days ago, E = 365: activefeatured: not featured: unknown homebrew_on_request_365d, repology_families, docker_pull_growth_90dlisted: listed: no archive, new or featured rule applies
Measurements and sources
Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.
Sources6 sources
- Description: the GitHub repository description
- crates.io database dump, fetched
- GitHub repository, fetched
- crates.io package, fetched
- GitHub releases, fetched
- GitHub contributors, fetched
AdoptionNot measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Active dependents | Not measured | Yes | ||
| New dependents (365 days) | Not measured | Yes | ||
| Peak active dependents | Not measured | Yes | ||
| Active dependents as a share of the peak | Not measured | Yes | ||
| Binary downloads per release | Not measured | Yes |
MaintenanceLatest human commit: 5 days ago4 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Latest human commit | 2026-11-04 | GitHub repository | Yes | |
| Latest release | 2026-10-28 | crates.io database dump | Yes | |
| First release | 2024-09-16 | crates.io database dump | Yes | |
| Latest version | 0.8.37 | crates.io database dump | No | |
| Days the oldest outside issue waits for a reply | 728 | GitHub repository | Yes | |
| Maintainer replies over 365 days | 6 | GitHub repository | Yes | |
| Repository archived | false | GitHub repository | Yes | |
| Repository gone | false | GitHub repository | Yes | |
| Release commit or manifest in the repo | true | crates.io package | No | |
| Published docs | Not measured | Yes | ||
| Latest release fails cargo check | Not measured | Yes | ||
| Build check date | Not measured | Yes | ||
| Build check toolchain | Not measured | Yes |
SecurityNot measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Unpatched vulnerabilities past the grace window | Not measured | Yes | ||
| RustSec unmaintained advisory | Not measured | Yes | ||
| Deprecation notice | Not measured | Yes | ||
| Deprecated requirement | Not measured | Yes |
Distribution78 releases, 21 downloads over 30 days6 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Releases | 78 | crates.io database dump | No | |
| Downloads over 30 days | 21 | crates.io database dump | No | |
| Binary downloads over the last 3 releases | 0 | GitHub releases | Yes | |
| Homebrew installs on request over 365 days | Not measured | Yes | ||
| Repology repository families | Not measured | Yes | ||
| Docker pull growth over 90 days | Not measured | Yes | ||
| Docker pulls at the growth baseline | Not measured | Yes | ||
| Every version a prerelease | false | crates.io database dump | Yes | |
| Every version 0.0.x | false | crates.io database dump | Yes | |
| Every version yanked | Not measured | Yes | ||
| Crate deleted from crates.io | Not measured | Yes |
Repository224 stars, 30 forks, 5 contributors, 1,980 commits. Stars alone never qualify a project.
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| GitHub stars | 224 | GitHub repository | Yes — one part of the repository route | |
| GitHub forks | 30 | GitHub repository | Yes — one part of the repository route | |
| Contributors with a GitHub account | 5 | GitHub contributors | Yes — one part of the repository route | |
| Commits on the default branch | 1980 | GitHub repository | No | |
| Repository's main crate left out of the entry | none | crates.io database dump | Yes |
Facts that never count
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| License | Apache-2.0 OR MIT | crates.io database dump | No | |
| Runs on, from listed crates and their direct dependencies | GPU support unknown | crates.io database dump | No | |
| What shows each backend | no dependency or feature matches a backend row | crates.io database dump | No | |
| Native code, from listed crates and their dependencies | Binds native code: libsqlite3-sys, mlua-sys | crates.io database dump | No | |
| Python bindings, from direct dependencies of listed crates | No Python binding crate found | crates.io database dump | No | |
| Crates that depend on a listed crate directly | Not measured | No |
Corrections and review history
No correction applies to this entry.
Judgments
A judgment enters only through an approved issue and a merged pull request.
No judgment applies to this entry.