bondai
malmo
bondai | malmo | |
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2 | 2 | |
171 | 4,014 | |
- | 0.4% | |
9.1 | 0.0 | |
4 months ago | 5 months ago | |
Python | Java | |
MIT License | MIT License |
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bondai
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How does LangChain actually implement the ReAct pattern on a high level?
EDIT: I've checked the (much simpler) implementation of BondAI, and this seems to confirm my understanding: https://github.com/krohling/bondai/blob/main/bondai/agent.py
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Overview: AI Assembly Architectures
BondAI: github.com/krohling/bondai
malmo
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Overview: AI Assembly Architectures
Malmo: github.com/malmo
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Project Malmo
Your first stop would probably be the Microsoft landing page - https://www.microsoft.com/en-us/research/project/project-malmo/ followed by the Github page - https://github.com/Microsoft/malmo
What are some alternatives?
awesome-ai-agents - A list of AI autonomous agents
AgentVerse - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
tinyllm - Develop, evaluate and monitor LLM applications at scale
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
beebot - An Autonomous AI Agent that works
Awesome-AGI - A curated list of awesome AGI frameworks, software and resources
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.