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AIRI-Institute avatar

AIRI-Institute/AriGraph

0
View on GitHub↗
170 stars·28 forks·Inform 7·MIT·10 views

AriGraph

AriGraph functions as the external memory architecture for large language models (LLMs), featuring a knowledge graph that is built from the ground up. This memory, configured as a semantic knowledge graph with added episodic vertices and edges, greatly improves the performance of…

Features

  • Agent Memory Systems - Learning knowledge graph world models with episodic memory.

Star history

Star history chart for airi-institute/arigraphStar history chart for airi-institute/arigraph

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with AriGraph

These projects share indexed features with AriGraph. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • mnemox-ai/tradememory-protocolmnemox-ai avatar

    mnemox-ai/tradememory-protocol

    1,259View on GitHub↗

    The Tradememory Protocol is a persistent, multi-layered memory and audit framework designed for artificial intelligence trading agents. It provides a structured architecture for agents to maintain episodic, semantic, and procedural knowledge across trading sessions, ensuring that decision-making is informed by long-term recall and historical context. The framework distinguishes itself through a combination of cryptographic integrity and cognitive modeling. It employs a tamper-evident logging system that uses hashed sequences to verify the history of trading decisions, alongside an outcome-wei

    Pythonai-agentsclaudecrypto
    View on GitHub↗1,259
  • cpacker/memgptcpacker avatar

    cpacker/MemGPT

    23,374View on GitHub↗

    MemGPT is a memory management framework and external memory layer for large language models. It functions as a platform for building stateful AI agents that maintain a persistent identity and continuous context across multiple sessions. The system enables agents to bypass fixed context window limitations by using a virtual context windowing approach. This allows models to manage their own memory through internal commands to search, update, and delete stored information within a hierarchical structure of short-term working context and long-term archival storage. The framework provides a local

    Python
    View on GitHub↗23,374
  • dcdmllm/worldgptDCDmllm avatar

    DCDmllm/WorldGPT

    124View on GitHub↗

    WorldGPT: Empowering LLM as Multimodal World Model

    Jupyter Notebook
    View on GitHub↗124
  • baai-agents/cradleBAAI-Agents avatar

    BAAI-Agents/Cradle

    2,538View on GitHub↗

    The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

    Pythonaiai-agentai-agents-framework
    View on GitHub↗2,538
Compare all 16 related projects→

Frequently asked questions

What does airi-institute/arigraph do?

AriGraph functions as the external memory architecture for large language models (LLMs), featuring a knowledge graph that is built from the ground up. This memory, configured as a semantic knowledge graph with added episodic vertices and edges, greatly improves the performance of…

What are the main features of airi-institute/arigraph?

The main features of airi-institute/arigraph are: Agent Memory Systems.

Which projects share features with airi-institute/arigraph?

Projects with overlapping indexed features include: mnemox-ai/tradememory-protocol — The Tradememory Protocol is a persistent, multi-layered memory and audit framework designed for artificial… cpacker/memgpt — MemGPT is a memory management framework and external memory layer for large language models. It functions as a… dcdmllm/worldgpt — WorldGPT: Empowering LLM as Multimodal World Model. hiagent2024/hiagent — HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model. measure-infinity/mulan-code — Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou. baai-agents/cradle — The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer…