Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.
Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.
Connects Claude Desktop to a RAGBrain knowledge base to enable semantic search, document retrieval, and namespace management. It allows users to browse collections, discover documents by topic, and access full text content through natural language.
Enables coding agents to store, search, update, and delete durable facts, preferences, decisions, and plans in a shared local SQLite database, along with per-namespace profile get/set and stats. Uses offline lexical FTS5 search so multiple agents working on the same project can share one memory store.
Enables MCP clients to store, recall, correct, and forget knowledge with per-sentence source bindings and a replayable retrieval traceId, so every answer can be traced to a specific document passage. Adds document-level version chains that retire superseded content from default retrieval, tombstone-based forgetting, three-layer user/namespace/scope isolation with full operation auditing, and deterministic calculator/date tools.
Enables access to Yuque (语雀) documentation through cookie-based authentication, supporting document retrieval, search, TOC navigation, and content management from knowledge bases via URL or namespace.
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
Gives AI agents a persistent long-term memory store over MCP, letting them remember facts and preferences, recall ranked memories with a one-line explanation of why each scored, mark which recalled memories were used or ignored so retrieval learns over time, and forget or list memories per namespace.
MCP server providing persistent memory management for AI agents using SQLite and FTS5, enabling storage, full-text search, and recall of memories with namespace isolation.
A persistent, bitemporal, injection-safe memory MCP server for coding agents, offering unified retrieval across six memory layers, non-destructive belief revision, and multi-tenant namespace isolation.
OpenZIM MCP Server provides AI models structured, offline access to ZIM format knowledge archives (Wikipedia, Wiktionary, Stack Exchange, Kiwix Library) via a Model Context Protocol server with smart namespace navigation, full-text search with suggestions, structure-aware retrieval (sections, tables of contents, related articles), link-graph extraction, archive-type presets, and both Simple (single natural-language tool) and Advanced (8 specialized tools) modes with streamable HTTP transport, bearer auth, and per-entry resources with subscriptions.
Enables MCP clients to add, search, and delete persistent namespace-scoped notes through a local stdio server backed by a SQLite database. Namespaces isolate queries and content-derived IDs make repeated writes idempotent.
A Cloudflare-native MCP server for a consolidated knowledge base, enabling CRUD operations, search, and namespace management with versioning and audit logs.
Enables AI agents and any MCP-compatible client to persist, search, update, and delete plain-text memories across sessions, using BM25 lexical ranking over SQLite FTS5 with namespace filtering, tags, free-form metadata, and JSONL export/import — entirely local, with zero external infrastructure.
Provides agent-scoped persistent storage with namespace isolation and TTL-based retention tiers. Includes a full audit trail and is backed by a single SQLite file.
Enables multiple AI agents to share a self-hosted, namespace-scoped cloud memory via a local stdio MCP server that caches valid results locally in SQLite and syncs to a remote MySQL backend. Exposes tools for searching, retrieving, timeline browsing, remembering, forgetting, and syncing memories with versioning, conflict handling, and redaction.
Provides AI agents with persistent, searchable long-term memory across sessions, enabling storage, full-text retrieval, updates, GDPR-compliant deletion, session summaries, and cross-referencing with per-namespace isolation.
