Intelligent context memory MCP server for VSCode/Cursor - Dynamic Context Swapping with semantic eviction

MCP server for logging and retrieving memories with context window caching and shared memories

Cross-project memory layer for AI coding agents — MCP server that maintains context, decisions, and knowledge across workspaces

AINative ZeroDB Memory MCP Server - 18 tools for agent memory: 9 memory + 5 write-back (Slack, Gmail, Calendar, GitHub, Notion) + 4 plan artifacts (persistent plans/PRDs across sessions with diff history). Auto-context middleware. Production-ready for Cla

PMLL Memory MCP Server v2.0.3 — persistent memory logic loop with short-term KV cache (peek pattern), Q-promise deduplication, Context+ long-term semantic memory graph, and solution engine. Four-way benchmarked: Combined Context+ + PMLL/peek delivers 36ms

MCP Server for AI long-term memory and context management

Local-first knowledge graph memory for LLMs and AI agents: MCP server, RAG context, provenance

Persistent memory for AI coding — semantic search, git history analysis, and intelligent context preservation

Universal persistent memory layer and context manager for AI agents, Claude, Cursor, and LLMs via Model Context Protocol (MCP)

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

RAG + Context Management MCP server: long-term memory, vector storage, knowledge retrieval. Run with npx, zero external APIs.

Persistent memory for AI coding - semantic search, git history, and intelligent context preservation

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

Local-first repo memory and context for coding agents.

Persistent memory for AI agents over the Model Context Protocol (MCP). Filesystem-backed, dependency-light, keyword search.

Starts the MCP server of the Tisty app installed on this computer: local memory and context for you and your AI agent, with notes, documents, tasks and ideas as Markdown on your own disk.

🧠 Model Context Protocol (MCP) server providing persistent vector & conversational memory for AI agents via PostgreSQL

Cross-project memory for AI coding agents. MCP server that maintains context, decisions, and knowledge across workspaces. Fully local.

An open protocol and Rust runtime for persistent, user-owned context and memory across AI applications. | 面向 AI 应用的持久上下文与记忆协议及 Rust 运行时，数据由用户持有。

Repository-native persistent memory hub for Spec Kit, powered by an SQLite caching optimizer & native Model Context Protocol (MCP) server.

MCP server that gives Claude persistent memory across sessions — reduces token usage by 70% by injecting only relevant context instead of full history.

MCP server that gives AI agents persistent memory across sessions. Context recall, encrypted credentials, session notes, export/import — zero external requests.

Reliable memory and context infrastructure for AI coding agents: source-backed facts, review-gated learning, MCP/SDK/UI, and replaceable Qdrant/Graphiti retrieval.

Provide AI agents with long-term memory using a neuroscience-based knowledge graph and Model Context Protocol for improved coding assistance.

Persistent Memory Community — a free, self-hosted memory service for AI agents, with structured knowledge capture, semantic search and connected project context.

Persistent AI memory for Claude Code, Cursor & Cline. Auto-captures decisions, patterns and context across sessions. Zero-config VSCode extension + CLI + MCP server.

Persistent memory for AI coding assistants. Auto-captures decisions, patterns, and context from Claude Code sessions. Works with Cursor, Cline, Copilot via MCP. Never re-explain your codebase again.

MCP memory server for ZenBrain: agent memory for any Model Context Protocol client — store, recall, forget, consolidate, health. Local SQLite file, no account.

Project-local MCP memory server for AI coding agents. Knowledge graph stored in .mcp/ inside each repo — isolated per project, Git-friendly JSON, dual-buffer (durable graph + active context).

Generic MCP server: file-scoped rules + frecency-ranked memory recall from plain markdown stores. Two tiers, deterministic, read-only. Pull the right context on demand into any MCP client.

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 A2A multi-agent broadcast channel

A powerful, production-ready context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it provides persistent, project-specific memory capabilities that enhance your AI's understanding and response quality.

Local-first, audited memory MCP for Claude Code, OpenAI Codex, Gemini CLI, Cursor, Cline, Continue and OpenCode. Your agent gets a navigable cognitive map instead of a bloated context file. Zero cloud. SQLite local storage. Every mutation audited.

Native Model Context Protocol (MCP) server fusing Meta ambient multimodal perception with Muse continuous episodic memory streams and Ebbinghaus recency decay.

Nex CLI provides organizational context & memory to AI agents. Connect email, CRM, Slack, meetings, and 100+ tools into one knowledge graph. Delegates to the nex-cli binary.

Persistent memory for AI tools. Give Claude, Cursor, and Codex shared context that survives across sessions.

Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning). Single SQLite file, MCP-native, multi-agent shared.

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Give your AI assistants long-term memory via the Model Context Protocol.

Context teleportation protocol and shared memory bus for AI assistants.

Reliable memory and context infrastructure for AI coding agents

Memory and context manager just works.

Local-first codebase intelligence memory and task context for coding agents, via CLI, MCP, and local HTTP.

Persistent memory for AI coding assistants. Injects context from past sessions into every LLM request.

MCP server giving AI coding agents offline, token-efficient persistent memory — recall decisions, patterns, and bugs across sessions with 68.5% fewer tokens than re-reading context. No LLM, no server; works with 15+ agents.

MemoryCore Ai - For Codex: persistent memory via MCP with a 24-hour idle window for delayed memory consolidation, TurboVec semantic search and source-checked context to reduce token wastage. Covers Codex and ChatGPT memory boundaries. Working development build.

Secure, persistent, and cross-session agentic memory for commerce state. This skill enables OpenClaw nodes to maintain granular historical context of vendor negotiations, discount eligibility, and user preferences over long-term fulfillment cycles.

User-owned portable memory vault for AI tools — one memory for every AI. MCP server for myclawn.com/mymemory: read context, search, propose entries (human review queue).

🧠 Provide local-first persistent memory for AI coding workflows, indexing notes to deliver relevant context in new sessions.

Hosted Model Context Protocol gateway for PostgreSQL, MySQL, and OpenAPI/Swagger, plus a hosted MCP memory server for shared Agent Memory.

Open-source memory layer for AI agents. One memory of each customer across every channel, agent and vendor: identity resolution, facts with evidence, context in 11 ms, MCP. A self-hostable alternative to Mem0.

Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP.

Give your AI a perfect, infinite memory. A local-first, zero-LLM memory system and Model Context Protocol (MCP) server designed to give AI assistants (like Claude, ChatGPT, and custom agents) a searchable, structured "Memory Palace."

Long-term memory for Claude Code and Codex: a local archive, a wiki in Git, and the right context at session start.

Shared project memory and handoff for teams working with AI agents. Checkpoint decisions, rehydrate context, hand work over — through MCP or the CLI, in Claude Code, Cursor, or Codex.

Inspectable AI agent memory, context engineering and multi-agent orchestration with an MCP server and logical-fleet benchmarks

Model Context Protocol server for Engrava - expose an agent memory database to any MCP client over stdio.

Long-term memory for AI agents with no LLM call: an MCP server and Claude Code plugin, plus local-first context compression for LLM apps.

Universal Memory & Context Engine (MCP Server) to give Long-Term Memory to AI Agents.

Persistent memory for agents. Corrections stick, context compounds, every session starts smarter.