Knowledge & Memory
Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
MCP ServersBrowse all →
- AsecurityAlicenseAqualityRecord development decisions as structured JSON, embed them as vectors via Gemini, and search semantically over MCP. Works with Claude Code, Cursor, Windsurf, and any MCP client.Last updated8920620MIT
- AsecurityAlicenseAqualityPersistent AI memory server with 3-layer hybrid search (vector + FTS5 + keyword), confidence scoring via Reciprocal Rank Fusion, episodic/profile memory, and 16 tools. Zero LLM dependency. Works standalone with Claude Desktop and Claude Code. MIT licensed.Last updated161MIT
- AsecurityAlicenseAqualityHeadless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any markdown folder. Features built-in hybrid semantic search, surgical AST editing, template scaffolding, zero-config local embeddings, and workflow tracking.Last updated851,4961MIT

mcp-memoriofficial
AsecurityAlicenseAqualityWith Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration. With MCP, it can: Store stable user facts and preferences after answering using the advanced_augmentation tool Recall relevant memories before answering using the recall tool Maintain context across sessions usLast updated281MIT- AsecurityAlicenseAqualityLong AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inpLast updated28MIT
- AsecurityAlicenseAqualityPersistent memory for AI agents with sectioned entries (project/user/context/etc), semantic search, CLI, and per-project scope. Local JSON, zero config, no server required.Last updated7883MIT
- AsecurityAlicenseAqualityThe most feature-complete MCP server for Obsidian vaults. 23 tools and 3 resources for search, read, write, tags, link analysis, graph traversal, and canvas support.Last updated1231054MIT
- AsecurityAlicenseAqualityAI memory that works like yours. Neural pathway architecture gives your AI persistent recall, contextual awareness, and cross-session continuity the way human memory actually works. 14 MCP tools. Works with Claude Code, Cursor, Windsurf, and any MCP client. $50/mo unlimited.Last updated1515MIT
- AsecurityAlicense-qualityProvides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.Last updated177401Apache 2.0
MCP ConnectorsBrowse all →
Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.
VaultCrux Memory Core — 32 tools: knowledge, decisions, constraints, signals, coverage
VaultCrux Platform — 60 tools: retrieval, proof, intel, economy, watch, org
The media memory layer for AI agents and their humans. Your AI client gets 29 tools to search your collection, add items, update ratings, preview music, and find patterns across everything you've read, watched, and listened to.
Scraps Kitchen gives any AI agent a persistent, household-aware kitchen memory. Unlike generic chatbot recall, Scraps maintains structured cooking data: what's in your fridge (with freshness tracking), who you cook for (with allergens, dietary restrictions, and preferences), your recipe collection (with cook notes and per-diner ratings), your shopping list, and your kitchen equipment. 27 tools across 6 domains let agents read kitchen context, suggest meals that respect dietary safety, update the pantry after cooking, and build a history of what works for your household. Every interaction makes the data richer. Cooking history, preference signals, kitchen awareness = better suggestions next time. All tools work via oAuth and a free scraps.kitchen account.
Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.
A self-improving memory layer. Your memory, notes, tasks and goals, remembered everywhere.
Fixes payment and delegation boundaries externally. When two agents disagree, DA proves both sides.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.