llama_deploy

What it is

LlamaDeploy is a Python-based framework intended to deploy agentic workflows to production environments. The repository is licensed under MIT and targets topics including agents, deployment, framework, llamaindex, llm, and multi-agents.

How it works

The README and releases indicate an ongoing versioned release history with standard semantic-like versions (v0.x.y). The project structure supports updates to deployment configuration fields and templates, and it includes unit and end-to-end tests as evidenced by CI badges. No detailed internal architecture is provided in the excerpt, but the project focuses on deploying agent-based workflows.

Getting started

• The README shows badges for PyPI and Python version requirements, implying typical Python packaging usage. Exact install commands are not shown in the excerpt, so no commands can be quoted here.

Recent releases

• Latest: v0.9.2 (2026-04-06) with changes including: New Features - bump next from 15.3.2 to 15.3.3 (in /templates/basic/ui) by @d
• Previous: v0.9.1 (2025-07-29) with: New Features - fix: allow plain http by @adrianlyjak
• Previous: v0.9.0 (2025-07-18) with: New Features - chore: better naming for deployment config fields by @masci
• Earlier: v0.8.0 to v0.8.1 around 2025-05-22 to 2025-05-30 with documented changes and PR references

Traction

• Stars: 2067
• Forks: 223
• Open issues: 40
• Created: 2024-05-29
• Last push: 2026-04-06 (Stars for 7d or 1d are not provided in the facts, so no separate traction sub-section beyond the numbers.)

Behind the repo

• The project is associated with the organization/user run-llama and has a deprecation note in the README: This project is deprecated. To serve workflows, use llama-agents instead.

Caveats

• License: MIT
• Age: Created 2024-05-29
• The README indicates deprecation: This project is deprecated. To serve workflows, use llama-agents instead.
• Open issues: 40
• No specific usage or installation commands are provided in the excerpt to quote verbatim.