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.

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.

Secure memory & context optimization MCP plugin for Claude Code. Drop-in replacement for context-mode with credential isolation, SSRF protection, MemGPT-style persistent memory, and hybrid BM25+vector search. 84 security tests, zero cloud sync.

🧠 Open-source AI reasoning research platform — persistent reasoning graphs, multi-agent swarms, Graph-of-Thoughts, and MemGPT-style memory. Built with Claude Opus 4.6 by Anthropic. Explore, verify, and fork AI thinking in real-time.

Plugin-based, MCP'able comms middleware for Letta agents.

Multi-agent memory substrate for PostgreSQL — provenance-gated, vector-hybrid recall

🤖 Full-stack conversational AI using a Letta (MemGPT) + RAG hybrid architecture for long-term memory, context persistence, and grounded responses. Built with FastAPI, React, FAISS, and MongoDB, featuring Isabella — a personality-driven assistant with document ingestion, structured memory, logging, and a terminal-style streaming chat UI.

Letta integration for the Ejentum Reasoning Harness. 8 Python functions (4 harnesses × dynamic + adaptive) registered via tools.upsert_from_function.

Stateless per-chunk article generation for any OpenAI-compatible local LLM server (LM Studio, Ollama, llama.cpp). Disk-as-memory pattern for small local models.

Personal AI assistant on Letta with persistent memory, multi-channel presence (CLI, Slack, WhatsApp), voice I/O, and 44 productivity tools — Gmail, Calendar, Docs, Sheets, Slides, Notion, Todoist, browser automation, web search, and shell. Eval framework with live stability benchmarks.

Stateful AI agents platform (formerly MemGPT).

C# SDK for the Letta API -- stateful AI agents with persistent memory, tools, and multi-agent groups

Digital Genesis — Engineering the first digital lifeforms with autonomous survival laws