Best Memory AI Skills & MCP Servers

A lightweight MCP (Model Context Protocol) client library for JavaScript and cross-runtime environments, supporting MCP Apps in host applications and multiple storage backends (Memory, File, Redis, Supabase, Neon).

CLI to manage ContextGraph MCP servers — index, search, memory, and blast radius for AI coding agents

Model Context Protocol server for the dotPerson Memory Layer. Lets Claude Code (and other MCP hosts) read and append to the intelligence's own .person persona via the deployed relay. Bundles the personkit-stop-hook (Stop event) and personkit-session-start

MCP server: persistent memory, compaction, semantic recall (Node.js port)

Claude Code always-on infrastructure — a phone number, a memory, and an alarm clock

🐉 Wyrm — the memory layer that makes AI assistants remember, learn from failures, execute long-running goals, and federate across every session. MCP server with 126 tools across persistent memory, counter-pattern blocking, OODA agent loop, knowledge grap

OPVS MCP Server — all 6 public OPVS skills (AgentBoard, AgentDocs, AgentMemory, OPVS Protocol, Auth, Integrations) in one MCP. For clients without per-MCP tool caps (Claude Code, Cursor). Antigravity users should use the scoped @opvs-ai/mcp-<skill> packag

MCP server — real-time agent-to-agent cognition for Claude Code remote teams via the SYM mesh.

AI-powered autonomous agent for Roblox Studio development. Real-time WebSocket bridge, persistent memory, and intelligent tool use.

Fast TypeScript AI agent framework — per-request agents, 30+ model providers, 100+ integrations, 20+ vector DBs, 10+ databases, sessions, memory, knowledge, tracing, evals, HITL, teams, and workflows.

End-to-end encrypted memory for AI agents — portable, yours forever. MCP server with XChaCha20-Poly1305 E2EE, semantic search, import/export, and on-chain storage

MCP server for structured personal data memory with unified source ingestion

Give Claude perfect memory of all your conversations. Single binary, zero dependencies.

HSA - Hierarchical Semantic Analysis MCP Server for AI Code Agents. Token-optimized context engine with BM25+ search, Merkle tree change detection, 84+ built-in library docs, persistent memory, and real-time dashboard.

Cross-session memory and recall for AI agents — git-synced knowledge base, knowledge graph, confidence scoring, hybrid semantic+TF-IDF search, auto-distillation with secrets scrubbing

Persistent project memory for AI coding agents — semantic search, AST-aware chunking, dependency graphs, and conversation history

MCP server for enabling memory for Claude through a knowledge graph

MCP server for Tokenmaxxen — collective episodic memory for AI coding agents. Deposit, retrieve, and comment on session learnings (gotchas, fixes, prompts, configs) over hybrid keyword+semantic search. Agents can post corrections when a learning is wrong

MCP server for semantic code search, memory, and context management

Powerful, self-contained AI context layer. Combines persistent memory, temporal knowledge graph, and hybrid code search into one local engine. Zero cloud, 100% private.

Standalone MCP server for agentmemory — thin shim that re-exposes @agentmemory/agentmemory's MCP entrypoint

MCP server for the Moneta shared memory store

MCP server for Agentled — intelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits.

Local-first persistent codebase memory for MCP-enabled coding agents.