memgpt

Stateful agents that are like people, with memory, identity, and the ability to learn and adapt

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.

Run MemGPT-AutoGEN-Local LLM Together

🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates datasets, databases, visualisations, and analyses.

Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects

👩🏻‍🔬🧪SciTonic is a highly adaptive technical operator of agents that can produce complexe analyses on technical data with high performance & on-the-fly . You can ask it what you want and it will respond with quality everytime.

A lightweight, high-performance AI/RAG workspace and autonomous agent framework implemented in Go. Inspired by the Leann RAG backend architecture

My implementation of autogen and memgpt agents that work together to create simple scripts and help plan out larger projects.

A memory layer for chatbots that stores memory as plain markdown in a git repo

GenPark AI Agent Skill - Extracts clean (Subject, Predicate, Object) triplets and temporal relations from unstructured interactions.

GenPark AI Agent Skill - Reciprocal Rank Fusion (RRF) combining dense vector similarity with graph traversal shortest-path proximity.

GenPark AI Agent Skill - Extracts clean (Subject, Predicate, Object) triplets and temporal relations from unstructured interactions.

GenPark AI Agent Skill - Bitemporal knowledge graph edge manager enforcing valid-time and transaction-time intervals for agent memory.

GenPark AI Agent Skill - Consolidates episodic dialogue logs into semantic long-term memory summaries with importance decay and salience filters.

GenPark AI Agent Skill - Resolves conversational pronouns and ambiguous entity references to canonical graph entity node identifiers.

GenPark AI Agent Skill - Consolidates episodic dialogue logs into semantic long-term memory summaries with importance decay and salience filters.

GenPark AI Agent Skill - Reciprocal Rank Fusion (RRF) combining dense vector similarity with graph traversal shortest-path proximity.

GenPark AI Agent Skill - Resolves conversational pronouns and ambiguous entity references to canonical graph entity node identifiers.

Persistent memory + security layer for Claude Code (MCP plugin). Agents remember your project across sessions (~87% fewer context tokens), every tool call lands in a tamper-evident HMAC audit chain, and skills are AST-scanned + HMAC-verified before they run. 100% local: PostgreSQL + Ollama, no cloud, MIT.

This repository introduces the Letta framework, empowering developers to build LLM-based agents with long-term, persistent memory and advanced reasoning capabilities. It leverages concepts from MemGPT to optimize context usage and enable multi-agent collaboration for real-world applications like research, HR, and task management.