Memory for AI Agents in 6 lines of code
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Updated
Nov 28, 2025 - Python
Memory for AI Agents in 6 lines of code
OpenMemory gives AI agents real long-term memory. Not vector search. Not RAG. Actual memory.
🧠 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
Implementation of mutual learning model between VAE and GMM.
The Metacognitive Integrated Dual-Cycle Architecture (MIDCA)
private-machine is an AI companion system with emotion, needs and goals simulation. Very silly, not based on real science.
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
A deep exploration of AI-driven foresight, how predictive models evolve into strategic collaborators. This repository presents Forecasting the Future of Forecasting, a professional essay on reflexive intelligence, human–AI collaboration, and the design of adaptive, explainable forecasting systems.
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
Various research skill packages to explore LLM Metacognition, mainly Claude AI including substrate access and texture discrimination
Advancement at the intersection of cognitive science, temporal knowledge graphs, database systems, and AI.
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