Clean baseline implementation of PPO using an episodic TransformerXL memory

A minimalist MVP demonstrating a simple yet profound insight: aligning AI memory with human episodic memory granularity. Shows how this single principle enables simple methods to rival complex memory frameworks for conversational tasks.

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain & CrewAI integrations.

Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018

Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife

PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three papers. Check the ReadMe for more details!

A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.

Robot Memory - Persistent memory system for AI robots. MCP Server + hybrid search + spatial retrieval.

NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. CVPR 2023.

Psifr: Analysis and visualization of free recall data

A machine with human-like memory systems.

Persistent filesystem-based memory system for Claude Code. Pure MIF Level 3 compliant memory storage with YAML frontmatter, bi-temporal tracking, and proactive hooks. No dependencies - just markdown files and git.

Continual Learning methods using Episodic Memory (CLEM) in PyTorch

ESTMS enables natural interaction with any VLM agent that learns from the conversation with the user and can help with everyday tasks.

Memory-centric architecture for scalable, energy-efficient AI agents and long-term cognition.

The OpenAI-Gym-compatible Room environment.

Episodic memory for AI coding agents — captures tool calls, edits, and outputs across sessions. The episodic layer of a full agent memory stack (pairs with QMD + probe).

Code for exploring how we distribute our thoughts over time when we remember, using data from a naturalistic memory experiment.

Living Memory Dynamics - A novel framework for narrative-generating episodic memory with creative leaps. Features the Joshua R. Thomas Memory Equation.

Stop your AI agent from repeating same mistake and learn from previous failures

A research-oriented Python framework implementing the DREAM architecture for long-term episodic memory in AI agents.

Build an AI Agent with long term memory using LangGraph

The content of this repository will be inherent to the Computational Intelligence course at Polytechnic University of Turin academic year 2023/2024

Official implementation of the paper "Linking In-context Learning in Transformers to Human Episodic Memory" by Li Ji-An, Corey Zhou, Marcus Benna, and Marcelo Mattar

Tokio-native agent memory — episodic, semantic, working memory with decay, persistence, and multi-agent bus

Claude Codeプラグインマーケットプレイス。EpisodicRAG（階層的長期記憶）、EmailingEssay（AI駆動エッセイ配信）、VisualExpression（表情表現）の3プラグインを提供。

Ignis is a locally-ran AI assistant that combines advanced cognitive memory systems with dynamic personality evolution - all while maintaining complete privacy on your hardware.

🦀 The transformer is a brilliant hack scaled past its limits. DREX is what comes next — tiered memory 🧠, sparse execution ⚡, and a learned controller that knows what to remember 💾✨

Gives local AI agents long-term memory by separating what they experience (episodic) from what they know (semantic).

Multi-Modal Memory Dataset