AI Agent Memory MCP Server
Agent-agnostic persistent memory as an MCP Server (SQLite + Chroma + Markdown)
Directory
Agent-agnostic persistent memory as an MCP Server (SQLite + Chroma + Markdown)
# filamental-mcp A local [Model Context Protocol](https://modelcontextprotocol.io/) server that connects AI assistants (Claude Desktop, Claude Code, etc.)…
Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
Open-source, self-hostable MCP server for WhisperGraph — a graph of 7.39B nodes / 39B edges mapping DNS, BGP, GeoIP, WHOIS, and threat intelligence. Six…
Integrates with SQLite to provide a persistent knowledge graph for efficient memory management and relationship modeling across conversations.
This project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality.
Persistent memory for AI agents with Ebbinghaus forgetting curve decay, hybrid BM25 + vector + knowledge graph retrieval, temporal reasoning, and a local…
Self-hostable MCP memory server for AI assistants — 16 tools, hybrid search, knowledge graph, auto-dedup, staleness pruning, automated ingestion pipelines…
Knowledge graph for token-efficient code reviews with Tree-sitter parsing, dual-mode embedding (ONNX + LiteLLM), and blast-radius analysis via MCP tools.
An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about…
Provides a pluggable knowledge graph memory server for flexible storage and retrieval within compatible systems, offering enhanced customization through…
The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change…
Integrates code analysis using a Neo4j graph database to enable structural insights, quality metrics, and natural language querying of codebases.
Elasticsearch-based knowledge graph that tracks access patterns to prioritize recent, important, and frequently accessed information with advanced search…
Provides a knowledge graph-based memory system for creating, managing, and querying structured information with features like custom file paths, timestamping…
Provides a knowledge graph-based memory system using PouchDB for storing and retrieving entity relationships and observations, enabling persistent…
Persistent memory for AI agents using a semantic knowledge graph. Store, retrieve, and connect memories with semantic search — so your AI remembers context…
Builds a knowledge graph of flaky tests from Playwright run history
NVIDIA AI developer stack as a Compressed Knowledge Graph (CKG) — 20 domains, 998 nodes, every prerequisite chain declared as typed edges. Agents traverse…
Cursor AI SSOT & Rule Engine Template: A comprehensive framework for integrating Cursor AI's advanced features into any project. Includes Single Source of…
Semantic code search for AI agents — hybrid vector + BM25 with cross-encoder reranking, AST-aware chunking for 14 languages, conversation memory, code…
Provides a Neo4j-powered knowledge graph storage solution for maintaining complex relationships between data points with persistent memory across conversations…
Distill AI coding sessions (Claude Code / Codex / Cursor) into weekly reports, ADRs, incident reviews and a knowledge graph — local-first, evidence-linked.
Cognitive memory for AI agents — persistent semantic memory with knowledge graph and adaptive recall