Memory for AI Agents in 6 lines of code
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Updated
Sep 26, 2025 - Python
Memory for AI Agents in 6 lines of code
🧠 Active memory management system enabling functional infinite context for LLMs through cognitive workspace architecture
🚀 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
The Metacognitive Integrated Dual-Cycle Architecture (MIDCA)
Implementation of a model to make VAE and GMM train from each other
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.
Implementation of the Semantic Pointer Architecture for Nengo
ALife simulation with Python: patterns, behavior, and cognition.
🧠 A tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format
Predictive human performance modeling for UI/UX design
Branch-Thinking MCP Tool A TypeScript-powered MCP server for managing parallel branches of thought, semantic cross-references, and persistent tasks. Features dynamic scoring, AI-generated insights, batch operations, and visual graph navigation for advanced agentic workflows.
Mirror of the official ACT-R Lisp implementation
A Julia Package for the ACT-R Cognitive Architecture
A cognitive control architecture and also a platform video game developed at the chair of Cognitive Modelling at the University of Tuebingen.
The humemai package for the AI agents
Soar's website: documentation, news, announcements, links, etc.
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