MCP server that gives AI agents and teams persistent, shared memory using a knowledge graph with vector embeddings, automatic consolidation of related facts, and hybrid search.
MCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.
An MCP server that provides a unified hybrid-search interface over Slack, wikis, code, and databases, enabling agents and humans to query scattered knowledge with exact and semantic search.
Enables autonomous orchestration of vector search, knowledge graph queries, and web crawling through a single MCP interface, providing agentic RAG capabilities for AI assistants.
Two MCP servers (knowledge base and journal) enabling AI agents to persistently store, search, and recall knowledge and reflections with multilingual semantic search.