Memory for AI Agents in 5 lines of code
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Updated
Jun 24, 2025 - Python
Memory for AI Agents in 5 lines of code
🚀 LangGraph for Swift. A library for building stateful, multi-actor applications with LLMs, built to work jointly with langchain-swift
Experimental Python implementation of the Clarion cognitive architecture
Cognitive Robot Abstract Machine in Python
MERLIN 2 (MachinEd Ros 2 pLanINg) for ROS 2
Implementation of a model to make VAE and GMM train from each other
The Metacognitive Integrated Dual-Cycle Architecture (MIDCA)
Implementation of the Semantic Pointer Architecture for Nengo
🧠 A tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format
ALife simulation with Python: patterns, behavior, and cognition.
Predictive human performance modeling for UI/UX design
private-machine is an AI companion system with emotion, needs and goals simulation based on LIDA cognitive architecture. Many agents for different cognitive functions and the ability to call tools, proactively message the user and interact with MCP server.
A Julia Package for the ACT-R Cognitive Architecture
The humemai package for the AI agents
Mirror of the official ACT-R Lisp implementation
Soar's website: documentation, news, announcements, links, etc.
A framework to provide robots with inner speech skill. This is a pioneristic approach for evaluating how inner speech could influence the human-robot interaction in a cooperative scenario
A cognitive control architecture and also a platform video game developed at the chair of Cognitive Modelling at the University of Tuebingen.
A simple modular cognitive architecture for intelligent living beings in games
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