Skip to main content

DisSysLab — build continuous offices of AI agents in plain English.

Project description

DisSysLab — Build Your Own Office of AI Agents

AI chatbots answer when you ask. DisSysLab runs an office of AI agents that works for you continuously — monitoring sources, filtering, analyzing, and delivering results all the time, until you tell it to stop.

You describe the office in plain English. DisSysLab builds it.

A DisSysLab office running

Install

pip install dissyslab
dsl doctor

dsl doctor checks your Python, the dependencies, and whether your Anthropic API key is set. Get a key at https://console.anthropic.com.

Run your first office

dsl list
dsl init org_intelligence_briefing my_briefing
cd my_briefing
echo "ANTHROPIC_API_KEY=your-key-here" > .env
dsl run .

dsl list shows every office that ships with DisSysLab. dsl init copies one of them into a folder you own. From there, edit prompts, connect sources, rewire agents — the office is yours.

What is an office?

An office is a team of AI agents with roles, connected by an org chart. You write each role in plain English — the same way you'd describe a job to a new hire — and you write the org chart in plain English too.

A single role file looks like this:

# Role: analyst

You are a news analyst who reviews articles and forwards items of
political or economic significance to an editor. Exclude celebrity
gossip, sports, and personal opinions.

If the item is relevant, send to editor.
Otherwise send to discard.

That's an agent. Combine a handful of them with sources and sinks in an org chart, and you have an office that runs continuously.

Offices can contain offices. Each office is a black box — the organization around it only sees what goes in and what comes out. You build organizations of arbitrary complexity one office at a time, reusing offices across different networks.

Learn more

  • Full documentation, source, and contributing guide on GitHub
  • Visual walk-through in the micro-course
  • Every shipped office with dsl list

Requirements

  • Python 3.9 or newer
  • An Anthropic API key

License

MIT — see LICENSE on GitHub.

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

dissyslab-1.1.0.tar.gz (167.3 kB view details)

Uploaded Source

Built Distribution

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

dissyslab-1.1.0-py3-none-any.whl (239.2 kB view details)

Uploaded Python 3

File details

Details for the file dissyslab-1.1.0.tar.gz.

File metadata

  • Download URL: dissyslab-1.1.0.tar.gz
  • Upload date:
  • Size: 167.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for dissyslab-1.1.0.tar.gz
Algorithm Hash digest
SHA256 6d78c6344a3085040e89e6967170eb06418f86b905b5992bc5722e6c6e828a7a
MD5 cb2bf635c4272efa151d7cc52c8a24b7
BLAKE2b-256 4cd1dfe3dd5ba55a0207a7b36c8aac9be885a0d5f8a4ca3e6b629471e492b6be

See more details on using hashes here.

File details

Details for the file dissyslab-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: dissyslab-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 239.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for dissyslab-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 557914375900dcedf7b0ac4bcc8cfaa3b246be9cdf0198743ca198dc968a2a75
MD5 a84df13d2c607a130d0e17a02a94eb1d
BLAKE2b-256 3e425907365b9894d16779d96d37854ad6f2e28e51258f891feb369f5110a95f

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