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LLM-Agents-Papers vs conductor
LLM-Agents-Papers logo
LLM-Agents-Papers
★ 2.3k
vs
conductor logo
conductor
★ 12.8k

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 a Netflix-developed platform designed to orchestrate complex workflows across microservices, supporting creation via JSON and code. However, Netflix discontinued its official OSS maintenance on December 13, 2023, while encouraging community forks and continued development.

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…

Coordinating complex business processes involving multiple microservices.

02

Side-by-Side Comparison

Field
LLM-Agents-Papers logoLLM-Agents-Papers
conductor logoconductor
Category
Observability
Observability
Stars
★ 2.3k
★ 12.8k
License
—
Apache-2.0
Updated
10mo ago
2y ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Agents, Paper List, AI Research
Workflow Orchestration, Microservices, 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
01Orchestrates workflows across microservices.
02Supports workflow creation using JSON and SDKs (multiple languages).
03Provides various persistence and indexing options (e.g., Redis, Cassandra, Elasticsearch).
04Offers a Node.js-based UI for management.
05Includes system tasks for HTTP requests and JSON evaluation (jq).
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
↳Coordinating complex business processes involving multiple microservices.
↳Building resilient and scalable distributed systems.
↳Automating long-running, multi-step tasks.
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 12.8k 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 Coordinating complex business processes involving multiple microservices..
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 (Apache-2.0).
→

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