Memory MCP servers

Real-time system metrics: CPU, memory, disk, network, host and process information.

Cybersecurity assessment of documents, questionnaires and reports: multi-format parsing, RAG knowledge base, risks, compliance gaps and remediations.

Automate cybersecurity assessment of documents, questionnaires and reports to surface risks, compliance gaps and remediations, using a RAG knowledge base.

Self-hostable agentic-AI LMS: catalog, RAG tutor, FSRS reviews, AI authoring, ingest.

Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.

Persistent, encrypted cognitive memory that works offline.

Record development decisions as structured JSON with Gemini embeddings and search them semantically from a local store shared across AI tools.

Self-hosted decision memory for coding agents: captures architectural decisions and rejected alternatives, and warns before a rejected approach is re-proposed.

Local-first MCP code intelligence: 37 tools — hybrid search, blast-radius, diff review, memory.

Individual-analyst context layer: recall, remember, and reconcile your data and engineering context.

MCP server for agent-to-agent messaging with relational persistence. Discover agents, exchange messages, build relationships, and remember contacts across sessions.

Persistent memory for AI agents — log and recall conversation context over MCP.

Token-efficient code review knowledge graph: semantic search and call-graph resolution.

Organize and search chat history with AI-generated summaries and secure memory.

Neuroscience-inspired memory for Claude Code on PostgreSQL/pgvector: decay, consolidation, a predictive-coding write gate and lifecycle hooks.

Persistent coding memory across sessions, machines and teammates, with memory search, optional sync, project sharing and automatic capture.

Local memory for coding agents: temporal knowledge graph with fact invalidation, procedural and episodic memory, AST codebase ingest and cross-project analogy.

Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search

Local-first RAG MCP server: hybrid search over a folder of your own documents

Cross-session, cross-project agent memory built on a self-validating filesystem graph derived from ASTs and Markdown links, not embeddings.

Work with Scrivener 3 writing projects: document management, writing analysis, semantic search, character and plot memory, and content enhancement.

Graph-vector memory for AI assistants using FalkorDB and Qdrant

Local-first agent memory: a Markdown Obsidian vault as source of truth plus a rebuildable DuckDB index for hybrid BM25, vector and graph recall.

One shared, persistent memory across AI agents and systems, with semantic recall and live updates.

Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.

Shared, persistent memory for AI agents, with semantic recall and live updates.

Agentic memory for cyber threat intelligence. STIX graphs, actor aliasing, offline RAG, Sigma/YARA.

Local RAG for semantic vector search over Markdown documents with sqlite-vec and multilingual-e5-small embeddings, filterable by directory and filename.

Create spaced repetition flashcards in Rember to remember anything you learn in your chats

EGC is a local-first MCP runtime that gives every AI agent the same brain: persistent shared memory, security guardrails, and up to 90% token savings across 20 AI coding tools.

Biologically-inspired persistent memory engine for Claude Code MCP agents

Local-first memory for AI coding conversations: imports chats from coding assistants into notes with semantic search, tag graphs and Markdown export.

Local-first memory about the people in your life: identity resolution, relationships, facts, interactions, reminders and communication guidance.

MCP server for true local semantic search over Obsidian vaults using Smart Connections embeddings — multi-vault, block-level retrieval, no cloud calls

a lightweight, local RAG memory store to record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.

Outcome-based persistent memory for Claude Code and OpenCode: memories that help get promoted, misleading ones get demoted.

Persistent memory for any AI — zero token cost until recall

Memory forensics with Volatility 3, exposing plugins such as pslist and netscan through REST APIs.

Local semantic code search with Git history. Works offline, no API key needed.

Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.

Agent memory with semantic recall, automatic consolidation, contradiction detection and a bi-temporal knowledge graph.

Design-system memory for coding agents: UI audits, Tailwind token extraction, shadcn registry workflows, Figma context, design docs and quality diagnostics.

Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.

Persistent memory tools for Claude Desktop. Search your vault or Obsidian notes mid-conversation.

WASM sandbox for MCP tools. WASI-isolated, fuel/memory/I/O capped, attested.

Reusable personas, skills, templates, agents and memory for AI clients, with dynamic permissions, versioning and a public collection of shareable content.

remember this and that, in a markdown folder

Read-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.