The Unified System Layer for Agentic Intelligence
Project description
Charm: The Unified Platform for Agentic Intelligence
Charm Store is now live. Register your agent and explore what the community has built!
Charm is a Unified System Layer designed to provide a unified environment for capability integration and application distribution for agentic intelligence.
It provides a standardized architecture that enables agents to assemble, interoperate, and scale across heterogeneous ecosystems, turning them into real, commercial-ready applications.
Why Charm?
Before you dive deeper, I’d like you to take a moment to read the blog post to understand our insights and perspective.
Getting started
Installation
Charm is available on PyPI. We recommend using uv for the best experience.
Standard Setup (For Agent Development)
If you only want to build and define agents
uv add charmos
# or
pip install charmos
Advanced Setup (For Local Cloud Runner)
If you want to simulate the isolated cloud environment locally
uv add charmos[runner]
# or
pip install charmos[runner]
Note: To use the docker simulation mode, you must have Docker Desktop or Docker Engine running on your machine.
Register your agent
Read our simple tutorial to learn how to register your agent on the Charm Store.
Contributing
To know how to contribute to Charm, please read our contribution guide.
Contact
- Support and Questions: Community / Email
- Join us: Chat with us
Changelog
Check our updates
License
Charm is licensed under the GNU Affero General Public License v3.0
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file charmos-0.4.17.tar.gz.
File metadata
- Download URL: charmos-0.4.17.tar.gz
- Upload date:
- Size: 49.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b17d3b507b40d58e16a2b65633291d821b9991e0f9cd2ffcf58db3bc987903dd
|
|
| MD5 |
c3f7f159e0c9dd1c1a1a6324b93a4165
|
|
| BLAKE2b-256 |
adee694c8d19ca78e2183b103aa62361222ce7a4cc69917c497de5829905e203
|
File details
Details for the file charmos-0.4.17-py3-none-any.whl.
File metadata
- Download URL: charmos-0.4.17-py3-none-any.whl
- Upload date:
- Size: 55.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
52be089458bce090d7993175b9910d9aa57c83069897cbe1b82b2d2e0ba1b359
|
|
| MD5 |
ef65bd1be083295207ccde9511bd1387
|
|
| BLAKE2b-256 |
9e8e751b672ab0ac817575f2af1435acdfc0e32c97c07d2009137c9375e7cd60
|
