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LLM-Agents-Papers vs conductor
LLM-Agents-Papers logo
LLM-Agents-Papers
★ 2.3k
vs
conductor logo
conductor
★ 31.9k

LLM-Agents-Papers vs conductor

LLM-Agents-Papers: This repository provides a comprehensive list of papers focused on Large Language Model (LLM) based agents. It covers various aspects, including enhancement techniques, interaction methods, diverse applications, and underlying infrastructure for LLM agents.; conductor: Conductor is an open-source, scalable microservices orchestration engine originally built at Netflix. It empowers developers to define and manage resilient, distributed, and asynchronous workflows across various services and systems.

01

TL;DR

LLM-Agents-Papers logoChoose LLM-Agents-Papers if…

For academic researchers seeking comprehensive paper collections on LLM agents.

conductor logoChoose conductor if…

Orchestrating complex microservice interactions

02

Side-by-Side Comparison

Field
LLM-Agents-Papers logoLLM-Agents-Papers
conductor logoconductor
Category
Observability
Observability
Stars
★ 2.3k
★ 31.9k
License
—
THE
Updated
10mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Agents, Paper List, AI Research
Microservices Orchestration, Workflow Engine, Distributed Systems
03

Features

LLM-Agents-Papers logoLLM-Agents-Papers
01Comprehensive survey of LLM agent papers
02Techniques for enhancing LLM agent capabilities
03Methods for agent interaction and collaboration
04Diverse applications of LLM agents in various fields
05Infrastructure and evaluation benchmarks for LLM agents
conductor logoconductor
01Workflow as code with JSON definition
02Rich task types (HTTP, JSON, Lambda, Sub Workflow, Event)
03Dynamic workflow management independent of services
04Built-in UI for monitoring and management
05Flexible persistence and queue options (Redis, MySQL, Postgres)
04

Use Cases

LLM-Agents-Papers logoLLM-Agents-Papers
↳For academic researchers seeking comprehensive paper collections on LLM agents.
↳As a learning resource for students and newcomers to the field of AI agents.
↳To guide practitioners in understanding and implementing advanced LLM agent techniques.
conductor logoconductor
↳Orchestrating complex microservice interactions
↳Automating event-driven business processes
↳Building resilient and observable distributed systems
05

Best For

LLM-Agents-Papers logoLLM-Agents-Papers
Trending
conductor logoconductor
Most PopularTrendingEssential
FAQ

FAQ

What is the difference between LLM-Agents-Papers and conductor?
Both LLM-Agents-Papers and conductor are in the Observability category. LLM-Agents-Papers has 2.3k stars, while conductor has 31.9k stars.
Which is better, LLM-Agents-Papers or conductor?
The best choice depends on your use case. Choose LLM-Agents-Papers if For academic researchers seeking comprehensive paper collections on LLM agents., and conductor if Orchestrating complex microservice interactions.
Is LLM-Agents-Papers free or open source?
Yes, LLM-Agents-Papers is open source on GitHub.
Is conductor free or open source?
Yes, conductor is open source on GitHub (THE).
→

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