memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)

Vinagent is a comprehensive Agentic AI library that helps integrate tools, memory, workflows, and observability.

A memory-first AI agent that remembers why decisions were made — not just the last message. Runs local (Ollama), cloud (Claude · OpenAI · Gemini), or decentralized TEE. Graph memory, self-learning skills, multi-model routing, sandboxed tools. MCP · ACP · A2A. One Rust binary.

Persistent memory for AI agents. Extract once, recall forever.

MCP server for external memory layer for AI agents + more . Download from pypi , and get started

ARF is an agentic reliability intelligence platform that separates decision intelligence (OSS) from governed execution (Enterprise), enabling autonomous operations with deterministic safety guarantees.

Graph-based self-evolving memory for experience-augmented clinical reasoning with applicability-aware retrieval and online memory evolution.

Hub repo for Claude Code related tools

Graph-native memory and self-learning for Claude Code. Every session remembered, every pattern learned, every agent connected — powered by AI Native Lang.

Hub repo for Claude Code related tools (Japanese distributions)

MemEX: Multi-session continuity for AI systems. A structured memory substrate that represents knowledge as an evolving belief state, with explicit provenance, scoring, and contradiction-aware updates.

The memory database for AI agents. Graph memory, hybrid search, and a tamper-evident audit trail — in one pip install. Storage that consolidates, evolves, surfaces. Built for autonomous agents.

Embedded local-first graph and vector memory for AI agents, with Ladybug storage, GLiNER2 extraction, and MCP/API/SDK access.

Graph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.

Open-source local-first AI assistant runtime with graph memory, semantic tool routing, markdown-governed tools, FastAPI/Next.js frontend surfaces, and verified tool calling.

Topological Graph Memory for Reinforcement Learning — 100% retention, zero hidden layers. Replaces neural weights with navigable graph topology to eliminate catastrophic forgetting.

A long-term memory intelligent agent using graph memory

Research codebase for an IEEE FLLM 2025 paper: retrieval-augmented LLM agent for CTF challenge solving with RAG, graph memory, tool routing, and reasoning traces.

A local-first, app-native personal AI assistant with a native macOS overlay, multimodal context, graph memory, and specialist action routing.