tidybot VS dialop

Compare tidybot vs dialop and see what are their differences.

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tidybot dialop
20 1
490 91
- -
6.4 3.2
6 months ago 12 months ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tidybot

Posts with mentions or reviews of tidybot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-15.

dialop

Posts with mentions or reviews of dialop. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing tidybot and dialop you can also consider the following projects:

MemGPT - Create LLM agents with long-term memory and custom tools 📚🦙

camel - 🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines

camel - 🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society [Moved to: https://github.com/camel-ai/camel]

Voyager - An Open-Ended Embodied Agent with Large Language Models

git-agent - Langchain Agent utilizing OpenAI Function Calls to execute Git commands using Natural Language

FlexGen - Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput generation. [Moved to: https://github.com/FMInference/FlexGen]

evals - Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

llama.cpp - LLM inference in C/C++

FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.