Skip to main content

An open-source, domain-agnostic, capability-based architecture for building intelligent agents

Project description

Osprey Framework

🚧 Early Access Release This is an early access version of the Osprey Framework. While the core functionality is stable and ready for experimentation, documentation and APIs may still evolve. We welcome feedback and contributions!

An open-source, domain-agnostic, capability-based architecture for building intelligent agents that can be adapted to any specific domain.

📄 Research This work was presented as a contributed oral presentation at ICALEPCS'25 and will be featured at the Machine Learning and the Physical Sciences Workshop at NeurIPS 2025.

🚀 Quick Start

# Install the framework
pip install osprey-framework

# Recommended: Interactive setup (guides you through everything!)
osprey

# The interactive menu will:
# - Help you choose a template with descriptions
# - Guide you through AI provider and model selection
# - Automatically detect and configure API keys from your environment
# - Create a ready-to-use project with smart defaults

# Alternative: Direct command if you know what you want
osprey init my-weather-agent --template hello_world_weather
cd my-weather-agent
# If API keys aren't in your environment, copy and edit .env:
# cp .env.example .env

# Start the command line chat interface
osprey chat

📚 Documentation

📖 Read the Full Documentation →

Key Features

  • Scalable Capability Management - Efficiently scales to large sets of specialized agents
  • Structured Orchestration - Converts freeform inputs into clear, executable plans
  • Modular Architecture - Easily integrates new capabilities without disrupting workflows
  • Human-in-the-Loop Ready - Transparent execution plans for inspection and debugging
  • Domain-Adaptable - Designed for heterogeneous scientific infrastructure

📖 Citation

If you use the Alpha Berkeley Framework in your research or projects, please cite our paper:

@misc{hellert2025osprey,
      title={Osprey: A Scalable Framework for the Orchestration of Agentic Systems},
      author={Thorsten Hellert and João Montenegro and Antonin Sulc},
      year={2025},
      eprint={2508.15066},
      archivePrefix={arXiv},
      primaryClass={cs.MA},
      url={https://arxiv.org/abs/2508.15066},
}

For detailed installation instructions, tutorials, and API reference, please visit our complete documentation.


Copyright Notice

Osprey Framework Copyright (c) 2025, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.

NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

osprey_framework-0.9.0.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

osprey_framework-0.9.0-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file osprey_framework-0.9.0.tar.gz.

File metadata

  • Download URL: osprey_framework-0.9.0.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.2

File hashes

Hashes for osprey_framework-0.9.0.tar.gz
Algorithm Hash digest
SHA256 55a9be75f1d588d9fc0f37b37706de8a627ca99b114f59d2092f1cf1f0ae266a
MD5 9b7704018746d8c60d1cbda97db7374f
BLAKE2b-256 f6c47cef3604b7fb325f76cb08997686837d160fa4939d36cd18776eb23c226d

See more details on using hashes here.

File details

Details for the file osprey_framework-0.9.0-py3-none-any.whl.

File metadata

File hashes

Hashes for osprey_framework-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 88af81e15833582417ebd6e36a378dddfdc01dc6ef39dfeabe0000369772c749
MD5 2fd6d01af9dade7ac47d98c94885095d
BLAKE2b-256 fafcb3fa25cb33b0ca6cf88bcae7066fce4e0c30fcc7d9da9f37ab234c97afb4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page