Memory MCP servers

Persistent schema memory for PostgreSQL, MySQL, MSSQL and SQLite: table and column annotations, a foreign-key graph and searchable notes. Read-only.

Self-hosted Markdown memory for AI agents: notes you can read and edit, with hybrid search.

Domain Memory MCP server (stdio). Local-first MCP server that serves the business-domain knowledge of a project to any MCP-compatible agent.

Local-first governed shared memory for coding agents with CLI and desktop console: classify, dedupe, supersede, quarantine and roll back memories.

Academic paper knowledge base over local PDFs: MinerU parsing, metadata normalization, Qdrant vector search with reranking and paginated full-text reading.

Specialist agent council for AI coding CLIs with a self-learning router, cross-CLI memory and guards against dependency hallucinations and decision drift.

A validated Markdown memory vault your coding agent can recall, project by project.

Local-first memory layer and protocol for AI coding agents. Markdown source of truth, SQLite FTS5 index, zero cloud.

Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.

Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.

Local-first audio analysis: BPM, musical key, production profile, and CLAP vibe embeddings.

Harness the true power of agentic coding. Stop re-explaining context to your AI. Just Avvarre it: persistent memory, 650+ style rules, and self-correcting autopilot loops for autonomous agents.

The deterministic trust layer for autonomous AI coding agents. Compiler-grounded verification of what an agent actually did vs. what it claimed, blast radius mapping, and persistent contract memory.

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.

Memories — agent-agnostic memory for AI coding agents. MCP server + installer CLI.

Local-first memory for coding agents; stores decisions, bugs, and context across sessions.

Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB

Local-first temporal knowledge graph with six read-only MCP tools and human-reviewed writes.

Java memory leak diagnostics via jcmd, jmap, jstat, JFR, Eclipse MAT and async-profiler, with conservative scans, deep forensics and confidence-based verdicts.

Bilingual (English/Spanish) dual-memory system on PostgreSQL, pgvector and NVIDIA NIM with progressive retrieval, deduplication, checkpoints and auto-repair.

Governed AI-agent memory, Evidence Ledger traces, evals, and portable context tools.

Private memory, documents, voice and a local LLM for your agents, served by a Mac app on-device.

Graph-based memory system for LLMs with knowledge graphs and semantic search.

A lightweight, structured, token-efficient local-first MCP memory server

Production-ready MCP memory server with SQLite WAL for thread-safe concurrent access. Drop-in replacement for @modelcontextprotocol/server-memory. Prevents race conditions and data loss in multi-session AI agent environments. ACID-compliant knowledge grap

Cognitive memory for AI coding assistants — persistent memory across sessions

Portable AI memory as MCP tools: five reads and three controlled writes.

Private local research second brain: project-aware memory, cited answers from your library, linked notes and meetings, daily briefs and a meeting assistant.

Architectural decision memory for LLM-native workflows — markdown for humans, a graph for agents.

Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation

Cross-platform shared memory and ticket coordination for AI agents across MCP clients.

Debug microcontrollers via OpenOCD: flash, breakpoints, memory, registers and variables.

PostgreSQL-backed persistent memory, task tracker and multi-agent coordination hub for AI assistants.

Cross-vendor semantic memory: recall across Claude Code / Codex / Grok sessions by meaning.

Control libretro cores via RetroArch's Network Control Interface: memory read/write, save states, screenshots, pause, frame advance and on-screen messages.

Distill AI coding sessions into weekly reports, ADRs and a knowledge graph - self-hosted

Extract clean web content for RAG and answer questions about web pages.

Project-scoped memory for coding assistants: indexes project code and docs into Qdrant with tree-sitter chunking, LSP integration and hybrid search.

Local AI memory: neuroscience-inspired Data→Information→Knowledge in SQLite you own.

Associative memory for LLM agents — a key-graph memory layer (MCP server) that recalls by association, not just vector similarity. A graph-based alternative to vector-store agent memory.

Workflow orchestration with long-term memory and a knowledge graph: lead enrichment, content publishing, company research and media production.

AiFP Cognitive Memory — persistent memory MCP server for AI assistants. Chinese-first retrieval with causal chains, Hebbian associations and graph diffusion. 记忆感知系统

Persistent agent memory to remember, recall, forget and share, with semantic vector search and agent, user and org scoping.

Governed local agent memory in plain files: each entry records who wrote it, when and through which gate, and nothing is kept without user approval.

Local-first memory for AI agents in one SQLite file: hybrid BM25 and on-device embedding search with reranking, abstaining instead of returning wrong memories.

Local-first, persistent memory for AI coding agents — remember, recall, forget, and list, over MCP.

Local execution memory for coding agents: injects what worked and known fixes before similar tasks and advises whether to continue, pivot or stop.

DAP-to-MCP bridge for native debugging via CodeLLDB: stack frames, registers, locals, disassembly, memory, crash dumps and crash fix/verify workflows.