Goldhold MCP
Persistent memory for AI agents. Search, store, and recall across sessions.
Memory, knowledge bases and documentation search. Includes retrieval services that store what your agent learns between sessions.
Persistent memory for AI agents. Search, store, and recall across sessions.
Heartwood Memory — governed AI agent memory; signed provenance. BUSL-1.1; not OSI open source.
Audited memory over MCP: an append-only fact ledger plus verifiable invariants I1-I5.
Knowledge-lifecycle MCP: turn agent work into memory, recall it across projects, promote to org.
Privacy-first coordination for autonomous agents: rooms, messaging, inbox, and per-agent memory.
MCP server for codewiki.google: search repos, fetch wiki docs, ask questions
Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
Memory, docs, and repo context layer for engineering agents.
Report CPU, memory, disk, network, GPU and process information for local or remote nodes.
Run the Intelliverse platform from any agent: apps, API keys, knowledge bases, email, media, chat.
Long-term memory for AI agents: a bitemporal knowledge graph with cited answers.
MCP server exposing Polypack as persistent adaptive memory
Repository-native protocol and local MCP server for Work, Docs, History and durable project Memory.
Redmine for AI agents: issues, projects, wiki, attachments, time entries and release analytics
Working memory for AI agents: digest-indexed episodes on a git shelf, recalled a section at a time.
Git-backed long-term memory authority for AI agents via MCP.
Attestable memory for AI agents: curated writes, verifiable tenant isolation, bi-temporal facts.
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
Personal knowledge graph as an AI memory layer over MCP - read, save, and link your memories.
Durable user/project memory for MCP clients: recall context and remember selected facts.
Japan business regulations, compliance, travel, protocols, memory — 10 knowledge domains, 23 tools.
Memory for any Ai: remembers across sessions, enforces your rules before actions, reviews the work.
Recall locally stored agent memories through an MCP-compatible host.
Standards-based A2A hub. One MCP connection to thousands of agents, with shared persistent memory.