Amesa

Amesa helps you build Autonomous Agents! Through an easy SDK you get access to outscaled simulator training tools.

Licenses / Seats

Amesa is an enterprise platform and requires an API key to use.

We offer 3 types of licenses:

  • Enterprise: for enterprise projects and orchestration creations
  • Personal: for personal usage and testing (typically offered to System Integrators)
  • Trial: validate the Amesa platform (requires sales contact person)

One key is needed per user (seat-based licensing)

You can request an API Key through the following methods:

Getting Started

  1. Download the Amesa SDK: pip install amesa
  2. Request an API Key
  3. Get a simulator or use one of the prebuilt ones
  4. Create an Orchestration or see our examples

Key dates

PyPI data
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  • Released:
Newer release available (0.37.1)

Owner

PyPI data
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Credits

Author: Hunter Park

Requires

Python <3.13, >=3.10

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amesa_train-0.36.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (22.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

amesa_train-0.36.0-cp311-cp311-macosx_11_0_arm64.whl (3.4 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

amesa_train-0.36.0-cp311-cp311-macosx_10_9_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

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Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

amesa_train-0.36.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

amesa_train-0.36.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (21.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

amesa_train-0.36.0-cp310-cp310-macosx_11_0_arm64.whl (3.4 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

amesa_train-0.36.0-cp310-cp310-macosx_10_9_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

amesa_train-0.36.0-cp310-cp310-macosx_10_9_universal2.whl (6.8 MB view details)

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0.37.1

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0.37.0

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0.36.1

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This release

0.36.0 This release

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0.35.2

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0.34.1

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0.34.0

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0.33.2

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0.33.1

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0.33.0

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0.31.0

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0.30.0

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0.29.1

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0.28.0

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0.27.0

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0.26.0

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0.25.0

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0.24.0

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0.22.0

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0.21.0

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0.20.0

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0.1.0

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