NeuralGPT VS langchain

Compare NeuralGPT vs langchain and see what are their differences.

NeuralGPT

Personalized all-purpose AI assistance platform based on hierarchical cooperative multi-agent framework which utilizes websocket connectivity for LLM<->LLM communication (by CognitiveCodes)

langchain

🦜🔗 Build context-aware reasoning applications (by langchain-ai)
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NeuralGPT langchain
7 36
29 85,665
- 5.9%
8.9 10.0
3 months ago 5 days ago
TeX Python
Creative Commons Zero v1.0 Universal 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.

NeuralGPT

Posts with mentions or reviews of NeuralGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-17.

langchain

Posts with mentions or reviews of langchain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-07.

What are some alternatives?

When comparing NeuralGPT and langchain you can also consider the following projects:

MetaGPT - 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

llama_index - LlamaIndex is a data framework for your LLM applications

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

NeuralGPT

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks

langchain4j - Java version of LangChain

guidance - A guidance language for controlling large language models.