Skip to main content

A secure multi-agent framework by TBH.AI focused on high security.

Project description

TBH Secure Agents

Main

A secure multi-agent framework by TBH.AI focused on high security.

This package provides tools and structures for building multi-agent systems with a strong emphasis on security principles. Developed by Saish at TBH.AI.

Key Features (Planned)

  • High Security Focus: Built with security best practices from the ground up. (Details TBD)
  • Modular Agent Design: Easily define and customize agents.
  • Flexible Task Management: Define complex workflows and tasks for agents.
  • Secure Communication: Mechanisms for secure inter-agent communication. (Details TBD)
  • (Other differentiating features...)

Installation

pip install tbh-secure-agents

Documentation

Full documentation, including installation instructions, usage guides, and details on the security focus, can be found in the docs/ directory:

Getting Started (Quick Example)

Here's a conceptual example:

# Example Usage (Conceptual) - See docs/usage_guide.md for details
# from tbh_secure_agents import Expert, Operation, Squad

# Define experts with specific specialties and security contexts
# security_researcher = Expert(specialty='Security Researcher', objective='Identify vulnerabilities', security_profile='high')
# reporting_expert = Expert(specialty='Reporter', objective='Summarize findings securely', security_profile='medium')

# Define operations
# research_operation = Operation(instructions='Analyze system X for security flaws', expert=security_researcher)
# reporting_operation = Operation(instructions='Compile a secure report of findings', expert=reporting_expert)

# Form a squad
# security_squad = Squad(
#     experts=[security_researcher, reporting_expert],
#     operations=[research_operation, reporting_operation],
#     verbose=True # Or configure security logging
# )

# Deploy the squad
# result = security_squad.deploy()

# print(result) # Securely handled output

Contributing

Contributions are welcome! Please see the CONTRIBUTING.md file (to be created) and refer to the documentation in the docs/ directory for project structure and goals.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

TBH.AI Saish - saish.shinde.jb@gmail.com

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

tbh_secure_agents-0.1.1.tar.gz (16.7 kB view details)

Uploaded Source

Built Distribution

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

tbh_secure_agents-0.1.1-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file tbh_secure_agents-0.1.1.tar.gz.

File metadata

  • Download URL: tbh_secure_agents-0.1.1.tar.gz
  • Upload date:
  • Size: 16.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for tbh_secure_agents-0.1.1.tar.gz
Algorithm Hash digest
SHA256 e495f245c9d30538053a874f28fcb677623c8166a7f3be3a97fd3f47f8df1344
MD5 07e52233e958cf549a53dcded73a894b
BLAKE2b-256 824f7468102b484a1a6ab6af8f1fa3ebca80f236d121c99476a0ee50e059c396

See more details on using hashes here.

File details

Details for the file tbh_secure_agents-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for tbh_secure_agents-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d79dee578f13818c110aa50d1d76d4535d381bc4100c34bdd7201224ffd36881
MD5 b8d12c4a74a68f9b0672f6d19a649043
BLAKE2b-256 cdee6c84d7be80c934f07ece88b31f6593d13ea59f84b83ef0361b962d7333ca

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