Knowledge graph-based persistent memory for maintaining context.
Knowledge & Memory
Knowledge and memory servers connect assistants to notes, knowledge graphs and persistent context. Compare storage backends, search behavior and how information is separated between projects or users.

Up-to-date code documentation for LLMs and AI code editors.
Hindsight: long-term memory for AI agents modeled on human memory.
Memory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
Turn docs, GitHub repos, PDFs, videos, Confluence, Notion and Slack/Discord into AI skills and RAG knowledge, exportable to vector databases like Qdrant.
Local-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.
Self-hosted Markdown knowledge base with a web UI: search, read, create, edit, tag and template notes.
Universal memory agent for AI: provides semantic search, namespace management, text/vector operations and RAG for local or remote environments.
Memory service with semantic search, persistent storage and autonomous memory consolidation.
Safe read/write access to Obsidian vaults: search, batch operations, tag management and frontmatter handling.
RAG platform combining Graph RAG, vector search and full-text search for building knowledge graphs and context engineering.
Local memory over session histories from Claude Code, Codex CLI and opencode: lexical search, session-start auto-recall, secret redaction and SSH sync.
Ontology engineering for OWL, RDF and SPARQL: validate, query, diff, lint, version and govern knowledge graphs on an Oxigraph triple store.
Query and summarize your chat messages with AI prompts.
Local memory daemon with episodic, semantic and procedural tiers, SQLite and hnswlib storage, sleep-cycle consolidation and AES-256-GCM encryption at rest.
Local-first memory for coding agents: records issues, failed attempts, fixes and decisions, re-injects them and warns at git commit before a repeated mistake.
Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2) and cross-session context management.
Search local AI-agent conversation history by file or exact phrase and recall original source turns through four read-only tools.
Local-first cognitive agent memory with FSRS-6 scheduling, smart ingest, SQLite storage, portable sync, an embedded dashboard and optional hooks.
Agent failure memory: search verified debugging lessons from real engineering sessions.
Mem0-compatible long-term and multimodal agent memory: character-isolated profiles, semantic deduplication, optional local stack and video memory with QA.
Context control layer for coding agents: compression, prompt-prefix stabilization for caching, cheaper-model routing, local hallucination checks and memory.
Team knowledge base turning Slack, Discord, Teams and Mattermost chats into a knowledge graph and wiki with cited answers, semantic search and expert finding.
Local document search: semantic search over PDF, DOCX, TXT and Markdown files with LanceDB vector storage and local embeddings.
Ingest content from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project, then search and retrieve relevant knowledge.
Persistent cross-session agent memory that surfaces the most relevant past memories using the Intelligent Distance Protocol.
Graph-based memory focused on AI role-play and story generation.
Cognitive agent memory with Hebbian learning, a three-tier architecture and knowledge graphs, running offline on edge devices.
Offline RAG for Claude Code with hybrid BM25 and semantic search, cross-encoder reranking, Markdown-aware chunking and query expansion.
Loads a personal profile mined from your local Claude Code, Codex and OpenCode logs so agents work the way you do.
Convert Markdown into interactive markmap mind maps with PNG/JPG/SVG export and live browser preview.
Persistent agent memory with Ebbinghaus-style decay, hybrid BM25/vector retrieval, entity graph for multi-hop reasoning, auto-pruning and a browser dashboard.
Retrieve and process documentation through vector search to augment responses with relevant documentation context.
Local institutional memory for agents where BFT consensus among validators approves every memory before it is committed.
Local-first persistent memory for coding agents with semantic search, auto-capture, cross-session learning and intelligent forgetting.
Manage personal knowledge, daily notes and reusable prompts in GitHub Gists, as a companion to GistPad.
Agent memory with semantic, episodic and procedural types, a knowledge graph, Claude Code auto-save/recall hooks, smart triggers and multi-user isolation.
Automate Google NotebookLM: Q&A with citations, audio podcasts, video, content generation, source management and notebook library.
Cumulative memory and pattern learning for coding assistants, with local SQLite/SurrealDB storage for semantic codebase analysis.
Summarize plain text, web pages, PDF documents, EPUB books and HTML content.
Zettelkasten knowledge management: create, link and search atomic notes.
Work with collections and sources in your Zotero Cloud library.
Organizational knowledge base: Markdown docs, PostgreSQL tables and files linked by a URI graph, with hybrid search, Git history and multi-tenant ACLs.
Persistent user identity across AI tools: preferences, lessons and decisions in local JSON with staged verification, AES-256-GCM encryption and cross-tool sync.
Local SQLite agent memory with a web dashboard, session rewind/replay, cross-client memory sharing, morning briefings and progressive context loading.
LLM-driven context and memory management: short- and long-term memory with vector, timeline and knowledge graph retrieval plus reranking.
Private-by-default memory and context layer for agents with staged retrieval across fused data backends and long-horizon context continuity.
Search and navigate Wikipedia and other ZIM-format knowledge archives offline, with smart retrieval and caching.