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-1.1.3.tar.gz (173.4 kB view details)

Uploaded Source

Built Distribution

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

dissyslab-1.1.3-py3-none-any.whl (248.7 kB view details)

Uploaded Python 3

File details

Details for the file dissyslab-1.1.3.tar.gz.

File metadata

  • Download URL: dissyslab-1.1.3.tar.gz
  • Upload date:
  • Size: 173.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for dissyslab-1.1.3.tar.gz
Algorithm Hash digest
SHA256 4e2008c1854d3f289a025256d76ee578a78c330cebe490359ac9eb00ed57afa8
MD5 c6396cfc755a599f04dd0e14425e30e9
BLAKE2b-256 09368b78cee4a36a5b081e24e2207091ff6644849f80c65db1258abbc787d530

See more details on using hashes here.

File details

Details for the file dissyslab-1.1.3-py3-none-any.whl.

File metadata

  • Download URL: dissyslab-1.1.3-py3-none-any.whl
  • Upload date:
  • Size: 248.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for dissyslab-1.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 859fc6c34b7e346de5aba320f2bf8307dc6dec0b261f67f9028fc454266d2655
MD5 eb1063098a7396af8d93aa88f5f78c31
BLAKE2b-256 0efbcbc61273d9004f427079172e7c28b2bc518f0e79c92cd7ee37dbdf700102

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