# run-llama/llama-lab

Repository: https://github.com/run-llama/llama-lab
Canonical: https://ross.abutalabs.com/products/llama-lab
Language: Python
License Family: other
Last push: 2023-11-09T10:03:30+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 88
- inputs: {"age_days": 1237, "days_push": 1028, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1512, forks 176 (observed 2026-08-28T04:04:55.995409+00:00)

## What it is
Llama Lab is a collection of experimental projects built on top of LlamaIndex for exploring cutting-edge LLM agent capabilities. It includes autonomous agent systems like llama_agi and auto_llama that create, prioritize, and execute tasks using LLMs.

## Use cases
- build an autonomous agent that plans and solves tasks from a high-level objective
- create an AutoGPT-style agent that searches the web and answers user queries
- simulate conversations between multiple LLM agents
- experiment with LlamaIndex for task management and agent memory
- prototype babyagi-style task creation and prioritization pipelines

## When to choose
- you want to experiment with autonomous LLM agents built on LlamaIndex
- you need reference implementations of AutoGPT/babyagi-style agents in Python
- you want to contribute to or extend experimental LlamaIndex agent projects

## When to avoid
- you need a production-ready, well-maintained agent framework
- you require a permissive license for commercial use
- you want a single cohesive tool rather than a set of standalone experiments

## Facets
- artifact type: library
- maturity: maintenance
- function: agent-framework, rag, llm-inference, web-scraping, nlp
- domain: artificial-intelligence, large-language-models
- platform: python, cross-platform
- tags: llamaindex, autonomous-agents, babyagi, autogpt, experimental-projects, task-planning, langchain, ai-agents, retrieval-augmented-generation, automation

## Member repositories
- run-llama/llama-lab (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:55.995409+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:32:20.736563+00:00, confidence not recorded.
  - readme: https://github.com/run-llama/llama-lab (fetched 2026-08-28T04:04:55.995409+00:00, sha 656ae87851e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.