A Python package with a built-in web application
Project description
Jarvismode is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint that can be integrated into applications built on any framework or stack. Jarvismode comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual Builder to get started quickly and iterate.
- Access to Code so developers can tweak any component using Python.
- Playground to immediately test and iterate on their flows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Jarvismode works with Python 3.10 to 3.13.
Install with uv (recommended)
uv pip install jarvismode
Install with pip
pip install jarvismode
📦 Deployment
Self-managed
Jarvismode is completely open source and you can deploy it to all major deployment clouds. Follow this guide to learn how to use Docker to deploy Jarvismode.
Fully-managed by Jarvismode
Jarvismode is a full-managed environment with zero setup. Developers can sign up for a free account to get started.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file jarvismode-1.0.26-py3-none-any.whl.
File metadata
- Download URL: jarvismode-1.0.26-py3-none-any.whl
- Upload date:
- Size: 5.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8830a16922936d8b984f14f7449612cbf5b1884cb856045f98678c426e16d26d
|
|
| MD5 |
9ed683de09f91826dc1a8d67cb196cb7
|
|
| BLAKE2b-256 |
375d8b20e9fdb8d1d12b34de7cd27e1472c4f7a9a6e851fa560986d06ac2f0c2
|