Skip to main content

Bam

PyPI version License: MIT Downloads

Bam is a lightweight and easy-to-use command-line interface (CLI) tool for creating and running AI agent containers. It is currently Docker-based.

Installation

You can install Bam using pip:

pip install bambot

Getting Started

To get started with bambot, follow these simple steps:

  1. Install bambot using pip:
pip install bambot
  1. Initialize a new Bam project:
bam init [CONTAINER_NAME]
  1. Build the Bam project locally:
cd [CONTAINER_NAME]
bam build
  1. Start the AI agent container locally:
bam start

That's it! You're now ready to start using Bam to create and run AI agent containers.

Documentation

For detailed documentation and additional features, please visit our website at bam.bot (coming soon).

License

bambot is released under the MIT License.

Support

If you have any questions, issues, or suggestions, please open an issue on our GitHub repository or email spencer@bam.bot.

Happy coding!

Note: Bam is VERY much a work-in-progress. more to come very soon!

Release files for bambot 0.4.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bambot 0.4.5
File Size Uploaded
bambot-0.4.5.tar.gz 9.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for bambot 0.4.5
File Interpreter ABI Platform
bambot-0.4.5-py3-none-any.whl Python 3 none any Details

Total release size: 21.1 kB

Release files / bambot-0.4.5.tar.gz

Download URL bambot-0.4.5.tar.gz
Size 9.3 kB
Tags Source
SHA-256 checksum
How to use checksums
f0c85492c9ec58fb7bc3c5ae0bfca81103b58eeca26df1dcf7deaad6f39526da
BLAKE2b-256 checksum
How to use checksums
e5ed572cf9c7801adf5f207eaa2d54bf32e2a9e37d9072bb33781e1ddd85f50d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.10

Release files / bambot-0.4.5-py3-none-any.whl

Download URL bambot-0.4.5-py3-none-any.whl
Size 11.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9c7cfb23d513fc12f1c04a0edfb2f1e43faca8971c2d922af1c747f6a17d0250
BLAKE2b-256 checksum
How to use checksums
c6fec41fde8b197d3e0248f97fb23b4bda12b1b016be0ea5252ba492838ed54c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.10

Release history Release notifications | RSS feed

This release

0.4.5 This release

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.9

2 release files

0.3.8

2 release files

0.3.7

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page