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XAgent

Appears in 5 awesome lists

XAgent is an open-source, experimental Large Language Model-driven autonomous agent designed to autonomously solve a wide range of tasks with features like autonomy, safety, extensibility, a GUI for easy interaction, and the ability to cooperate with humans github | demo | docs | blog

Open github.comopenbmb/xagent

Found in these lists

AI Game DevTools (AI-GDT)

Section: LLM (LLM & Tool) · An Autonomous LLM Agent for Complex Task Solving.

ActiveScore 77

Open-source projects

Section: Links

FreshScore 87

Awesome LangChain

Section: Other / Chatbots · An Autonomous LLM Agent for Complex Task Solving

FreshScore 90

Awesome LLM Resources

Section: 智能体 Agents · An Autonomous LLM Agent for Complex Task Solving.

FreshScore 87

Awesome AI Agents: Tools, Resources, and Projects

Section: Repositories · XAgent is an open-source, experimental Large Language Model-driven autonomous agent designed to autonomously solve a wide range of tasks with features like autonomy, safety, extensibility, a GUI for easy interaction, and the ability to cooperate with humans github | demo | docs | blog

SlowScore 68

Flowise

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gpt4all

is an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue based on LLaMa.

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DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.

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AgentGPT allows users to configure and deploy autonomous AI agents, enabling them to name their own custom AI and guide it towards any desired goal through task execution and learning github | github profile

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MetaGPT

MetaGPT is a multi-agent framework enabling GPT to collaborate within a software company, facilitating complex tasks by assigning different roles to GPTs github | github profile

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DB-GPT

DB-GPT GraphRAG integrates both triplet-based knowledge graphs and document structure graphs while leveraging community and document retrieval mechanisms to enhance RAG capabilities, achieving comparable performance while consuming only 50% of the tokens required by Microsoft's GraphRAG. Refer to…

In 7 listsDetails