Results for “memory”

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, epi

One memory, three terminals. Shared memory layer for Claude Code, Codex, and Gemini CLI — hybrid retrieval (vector + BM2

On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less to

SQLite-backed MCP Memory Server with WAL concurrent safety, FTS5 search, session tracking, task management, and cross-ma

Lightweight Long-Term Memory for LLM Agents.

Universal long-term project memory for AI coding agents — Claude Code, Cursor, Windsurf, Cline + 4 more. TDD rules, code

A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in y

Persistent memory system for AI coding assistants via MCP. Works with Claude Code, Cursor, Copilot, Windsurf, Cline.

MCP that brings persistent agent memory to Kiro, Claude Desktop, Cursor, and any MCP client — powered by agent-memory-da

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

Persistent memory for AI coding agents

memory-mcp-1file

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. E

Give your AI agents persistent memory.

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temp

TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory,

Nemp - The memory plugin for Claude Code that remembers everything.

Long-term memory for LLMs. MCP server backed by hybrid search in a single SQLite file.

MCP server for persistent context management in AI coding assistants

Memory system for autonomous agents - built by an agent, for agents

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contrad

AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://disco

Cryptographic receipts for AI agent actions. MCP server, SDK, CLI, and dashboard. Local-first, zero infrastructure.

@zilliztech✓ Official

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.

Tessera — Memory layer for every AI. 58 MCP tools, 54 REST endpoints, local-first, AES-256 encrypted.

Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over

Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Co

Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fu

A repo lists papers related to LLM based agent

Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.

Claude Code 的記憶系統 | A memory system built with hooks + markdown. Zero dependencies.

MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development

Comprehensive MCP server exposing dozens of capabilities to AI agents: multi-provider LLM delegation, browser automation

(S)AGE - (Sovereign) Agent Governed Experience

Cognitive memory for AI agents — FSRS-6 spaced repetition, 29 brain modules, 3D dashboard, single 22MB Rust binary. MCP

Memory server for llms that can be easily integrated to any client.

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Cursor, Claude Code, Codex, Windsurf, Ge

A local MCP memory server backed by plain markdown + JSON files, synced via git. No database. Project-scoped memory with

aimemo

Local-first persistent memory for AI agents — store, recall, and consolidate knowledge across sessions using FAISS, SQLi

The best-benchmarked open-source memory system for AI coding assistants

A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.

This is a claude skill for tracking project state.

Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama wh