LlamaAgents
LlamaIndex's framework for deploying agentic workflows as microservices.
About
LlamaAgents (run-llama/llama-agents, MIT) is LlamaIndex's framework for running agentic workflows as scalable microservices — agents as services with orchestration, messaging, and deployment primitives.
Smaller footprint (~460 stars) than the LlamaIndex core, but actively maintained (100 releases/12mo). Relevant if you are already in the LlamaIndex ecosystem and want agent serving infrastructure.
What it can do
- Agents-as-microservices deployment
- Orchestration and messaging primitives
- LlamaIndex-native integration
- Actively released
Setup
pip install llama-agents.- Define your LlamaIndex agent workflow.
- Deploy as services per the docs.
Prerequisites
Python 3.9+; familiarity with LlamaIndex.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier). Official LlamaIndex project, MIT, actively released, but a small adoption footprint (~460 stars) and thinner independent coverage. Metrics tier.
★ 460 GitHub stars
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 5.4/10
- Maintenance · recency, releases, issue load
- 8.4/10
- Openness · license + docs
- 9.1/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · 460 GitHub stars (log-scaled vs catalog peers)
- · last push 1d ago; 100 releases/12mo; 18 open issues
- · manual review: official LlamaIndex agentic framework; active but small footprint; license: MIT
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.