随经验自我改进的智能体
memgpt 开源项目推荐(41 个)
memgpt 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 41 个仓库面向 LLM 的智能体记忆:30 个可运行的 Jupyter notebook,涵盖对话缓冲区、向量存储、知识图谱、情景记忆与语义记忆、MemGPT、Mem0、Letta、Zep、Graphiti、LoCoMo 基准以及生产模式。
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
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.
Multi-agent memory substrate for PostgreSQL — provenance-gated, vector-hybrid recall
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.
Build your own always-on personal AI OS: a self-hosted agent that dispatches coding tasks, maintains a git-Markdown knowledge base, and runs on your hardware. A DIY alternative to Letta, mem0, Hermes Agent, and AutoGPT.
🧠 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.
🤖 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.
🧠 The definitive curated map of memory for LLM agents — frameworks, research papers, benchmarks, taxonomy & deep dives.
Letta integration for the Ejentum Reasoning Harness. 8 Python functions (4 harnesses × dynamic + adaptive) registered via tools.upsert_from_function.
Deterministic agent memory. μ=0. Free, local, forever. Mem0-compatible.
C# SDK for the Letta API -- stateful AI agents with persistent memory, tools, and multi-agent groups
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/memgpt。
- 该话题在 GitHub 上共有 41 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 5633 Star,覆盖 6 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。