A graph-based MCP server that provides AI coding agents with persistent memory to store patterns, track complex relationships, and retrieve knowledge across sessions. It leverages graph structures to handle temporal queries and relational paths that traditional vector stores often miss.
MCP server providing AI agents with a typed-edge graph memory layer that enables bounded hallucination, surgical forgetting, and audit trails, supporting multiple clients like Claude Desktop and Cursor.
Graph-relational memory MCP server for persistent LLM memory, featuring wikilinks, BM25 auto-linking, spreading activation, and synaptic decay across five memory layers.
Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools
including store, recall, search, traverse, and explain.
A persistent, event-sourced knowledge graph MCP server for AI coding agents that enables semantic search, tiered context retrieval, and git-based version control of AI memory.
Model-agnostic code memory MCP server using budget-aware graph retrieval for AI agents, providing sub-millisecond queries, token budgeting, and deterministic results without embeddings or vector databases.
