#sqlite

Persistent semantic memory for SQL databases (Postgres, MySQL, MSSQL, SQLite). Annotate once, remember forever.

Memento is a local-first, LLM-agnostic memory layer. It runs an MCP server over a single SQLite file on your machine, so any MCP-capable AI assistant — Claude Desktop, Claude Code, Cursor, GitHub Copilot, Cline, OpenCode, Aider, a custom agent — can read and write durable, structured memory about you, your work, and your decisions.

The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 15 parsers, FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free. Index everything in your project — code, docs, PDFs, legal texts, research, data — and your agent finds the right context instantly. No hallucinations. No cloud. No API costs.

Database-agnostic MCP server that exposes relational databases as governed business objects (Customers, Orders, Products) for AI agents via ORM abstraction — instead of raw SQL or schema access. Works with any JDBC-compliant database (PostgreSQL, MySQL, Oracle, SQL Server, SQLite, and more). Reduces LLM token consumption by 60-70% through semantic data abstraction.

terminal-history-mcp gives AI agents (Claude Code, Cursor, Cline, Zed, any MCP client) full-text search over your shell history. - Local-only, no cloud — SQLite FTS5 at ~/.terminal-history-mcp/history.db - Supports zsh, bash, fish - Captures cwd, exit code, duration via opt-in shell hook - 11-pattern secret redaction runs BEFORE insert (GitHub PATs, OpenAI keys, AWS, JWTs, bearer tokens, env vars, CLI flags, basic-auth URLs) - Hash-deduped, idempotent reindex - WAL mode — safe across parallel sessions Ask: "When did I last ssh into staging?", "Show failed commands today", "What did I run in /etc/nginx yesterday?", "Show context around kubectl apply".

AI tools show when you sent a message. Chron logs when the AI responded too — and keeps a permanent, queryable record of every exchange across every tool you use. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP-compatible AI tool. Every exchange is stored with precise local timestamps (including timezone offset) to a SQLite file on your machine. Query it directly, export it, or use it to answer: what did the AI say, and exactly when?

Your AI forgets everything between sessions. Rekindle fixes that with two tools that close the continuity loop: boot_report orients the assistant at session start (identity, checkpoints, gaps, orientation score), and end_session captures structured handoff at session end (decisions, open loops, constraints, relational context). 7 MCP tools, 64 tests, local SQLite, no cloud, no API keys. New in v0.2.0: • Orientation domain layer with gap detection and 100-point scoring • end_session tool with typed continuity records (checkpoint, decision, open_loop, constraint, preference, warning, relational_delta, next_session_focus) • Schema migration adding type, source, and session_id columns • Project-aware scoring • Full outside review from an independent AI reviewer

Local-first memory firewall and MCP server for AI agents. Audrey gives coding agents recall, memory capsules, preflight checks, reflexes, validation, tool-trace learning, contradiction handling, and SQLite/sqlite-vec storage.

pen-source MCP server that AI coding agents call as they work to log structured change events. Captures the entity (DB column, table, function, endpoint, dependency, env var), the diff, and the reasoning behind each change to a local SQLite database — preserving the intent that would otherwise evaporate when the agent session ends. Six MCP tools: log_change, diff, blame, history, changeset, and search. Answers questions like "when was users.stripe_customer_id added and why?" or "which agent added the payments table?" Zero-config (SQLite, WAL mode), Python 3.10+, MIT licensed. Like git blame, but for semantic entities and AI agents.

WhoDB CLI - a powerful database management tool with interactive TUI, programmatic commands, and MCP server for AI assistants.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

Connect your real-time database to Cursor/Claude safely.Supports PostgreSQL & SQLite, built-in SQL safety validator, local-first.

Persistent project memory for AI coding agents. Hybrid vector + BM25 search with AST-aware chunking (24 languages), dependency graph boosting, conversation memory, checkpoints, annotations, and wiki generation. Local-first, zero config. `bunx mimirs init`

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories locally in SQLite, ranks by 6-factor scoring, returns results in TOON compact format (79% smaller than JSON). 17 MCP tools, 20 HTTP endpoints, 25 CLI commands. 4 tiers from keyword to autonomous with local LLMs via Ollama. 97.8% recall accuracy on ICLR 2025 LongMemEval benchmark. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, Continue.dev, OpenClaw, Llama, and any MCP client. Open source, MIT licensed, written in Rust.

Query your Cloudflare Durable Objects from Claude Code, Cursor, and other AI clients. Read-only SQL access to DO SQLite storage via MCP protocol.

1 MCP server, 13 databases, zero config. Connect AI agents to PostgreSQL, MySQL, MongoDB, SQLite, Oracle, SQL Server, DB2, SAP HANA, MariaDB, CockroachDB, Cloud Spanner, HSQLDB, Sybase. 15 tools per entity + 4 AI prompts. Auth + RBAC included. 11 transports: REST, GraphQL, gRPC, WebSocket, SSE, tRPC, MCP, OData, Arrow Flight, JSON-RPC, NATS.

Persistent AI memory backend with semantic search and knowledge graph. Stores episodic, semantic, and procedural memories in SQLite and retrieves the most relevant ones using vector similarity and graph traversal. All embeddings run locally, with no API keys required.

A reusable AI software development team built on MCP. 13 specialized agents (Project Manager, Backend, Frontend, QA, Security, DevOps, UX, and more) collaborate via shared SQLite state. Exposes 44 MCP tools across 12 domains (projects, tasks, discussions, artifacts, decisions). One-command install. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible client. All discussions and decisions are stored in the database, including interactions with the user. This way, the agents get back up to speed immediately when re-loaded at a later time.

Persistent memory for AI agents. 72 MCP tools for remember, recall, rollback, audit, knowledge graph, context spaces, eval, cortex, replay, governed actions, and more. Pairs with CLAUDE.md to give Claude Code shared memory across sessions and agents. Works locally with zero config (SQLite) or connects to Novyx Cloud for teams.

A Model Context Protocol (MCP) server implemented in Node.js and TypeScript, designed to enable LLMs to interact directly with SQLite databases.

Developer logbook as an MCP server. Notes, TODOs, reminders, and code TODOs — all queryable with natural language. SQLite-powered, zero config, zero AI costs. Auto-detects your project, supports recurring reminders, full-text search (FTS5), and batch operations.

Talk to your databases in natural language. Multi-database MCP server (PostgreSQL, MySQL, SQLite) with 19 tools for connection management, schema introspection, query execution, rollback snapshots, and query history. Auto-discovers schema with FKs so AI agents can build JOINs from natural language. Confirmation required for destructive ops. Zero config.

Persistent 4-layer memory (episodic, semantic, procedural, resource) backed by SQLite FTS5. Fact versioning, Snowball stemming (EN+RU), BM25 ranking. Zero-cloud, single-file database. 7 MCP tools.

A local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools.

Stop re-explaining your codebase to AI every session. CogniLayer gives Claude Code persistent memory across sessions, AST-based code intelligence (who calls what, blast radius analysis), and subagent context compression (40K → 500 tokens). 17 MCP tools including semantic search (FTS5 + vector), code_context, code_impact, session bridges, crash recovery, and deployment safety gates. Saves 80-200K+ tokens per session by replacing file reads with targeted knowledge retrieval. Works with Claude Code and Codex CLI. Zero-config after install — hooks and MCP tools run automatically.

Universal memory layer for AI agents. Semantic recall, automatic consolidation, and bi-temporal knowledge — in SQLite. 80% on LOCOMO benchmark using 96% fewer tokens.

Hierarchical memory for AI agents. Three-layer (buffer/working/core) with automatic decay, promotion, and semantic search.

Persistent project memory for LLMs. Never re-explain your project again.

Verifiable Memory-as-a-Service for AI agents. Persistent, searchable, graph-connected knowledge with optional Starknet on-chain proofs. Works locally with zero config (SQLite) or in cloud mode.

An MCP (Model Context Protocol) server for indexing and querying codebases using CocoIndex. Features semantic code search with natural language queries, incremental indexing for fast updates, multi-language support (Python, JavaScript/TypeScript, Rust, Go, Java, C/C++, C#, SQL, Shell), flexible embeddings via local SentenceTransformers or 100+ cloud providers via LiteLLM, and portable SQLite storage with no external database required.

Hypergraph database for AI agents. Store n-ary relationships (edges connecting 2+ nodes), track provenance (source and confidence), and query paths — all backed by local SQLite with zero configuration.

Memory with integrity for AI coding agents. SAME tracks provenance, flags stale knowledge, and surfaces contradictions; so your AI trusts what's current, not what's outdated. 17 MCP tools: semantic search, cross-vault federation, session handoffs, decision logging, knowledge graph, trust-aware retrieval, consolidation, health analysis. Provenance on every write. Stale notes rank lower automatically. SQLite + vector search. Ollama, OpenAI, LM Studio, or keyword-only. One 12MB Go binary. No cloud, no API keys, no telemetry. Your notes never leave your machine. Claude Code, Cursor, Windsurf, Codex CLI, Gemini CLI, and any MCP client.

MCP Server that gives AI coding assistants instant access to your entire codebase through a persistent Tree-sitter index. Instead of grep flooding your context with 2000+ tokens per search, AiDex returns precise identifier matches in ~50 tokens. Supports 11 languages: C#, TypeScript, JavaScript, Rust, Python, C, C++, Java, Go, PHP, Ruby. Features include method signatures, cross-project search, time-based filtering, session notes, and an interactive browser-based viewer.

A local, fully-offline MCP memory server using SQLite + FTS5 + sqlite-vec with embedding support

Model–Context–Protocol (MCP) Server A modular, extensible Rust-based server providing short-term, long-term, and latent memory services, a chat endpoint backed by a BaseAgent + Sentience DSL, and seamless integration with ChromaDB and LLM services.

MCP server for reading SQLite databases

Secure MCP server for libSQL databases with comprehensive tools, connection pooling, and transaction support. Built with TypeScript for Claude Desktop, Claude Code, Cursor, and other MCP clients.

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

MCP for Comic Book Database

db-query-mcp is a mcp tool supporting diverse database querying and exporting.

MCP Server to manage PostGress and SQLite. In fact, you could use any Database Engine

Server to manage different databases engines. For now, only allows SQLite and PostgreSQL databases, but it's easily updatable for another databases engines. This is the STDIO version. But I will uplaod SSE version too. Update this servers its highly encouraged. I hope you enjoy using it as much I making it.

A flexible system for managing various types of sources (papers, books, webpages, etc.) and integrating them with knowledge graphs.

An MCP server to interact with SQLite databases

A Rust + MCP powered financial tracker that knows exactly where your money ghosted you.

API de gerenciamento de tarefas via WebSocket com execução modular de comandos e suporte a ferramentas, desenvolvida em TypeScript com banco SQLite. Projetada para integração com agentes de inteligência artificial.

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

🐇 Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities

MCP Server that integrates a knowledge graph and a vector database based on SQLite

Some examples to build server, client test in model context protocol. Một số ví dụ sử dụng MCP

SQLite-Anet-MCP Server A blazing-fast, Rust-powered SQLite server for AI agents—speak JSON-RPC, store insights, and manage your database like a pro.

TypeScript implementation of the Sqlite MCP Server

A service that monitors an Obsidian vault for file changes (new, modified, or deleted Markdown files) and indexes each note’s metadata and content into an SQLite database, exposing it for e.g. an MCP-server

Universal database MCP server connecting to MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, SQLite.

MCP server for interacting with Turso-hosted LibSQL databases

MCP Demo

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An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.

Database interaction and business intelligence capabilities