Best Memo AI Skills & MCP Servers

MCP server for agent automation: persistent memory and deterministic workflow execution for AI agents and chats

MCP server for the Polarity exocortex. Read and write your personal knowledge graph from any LLM client.

Model-agnostic code memory MCP server. Budget-aware graph retrieval for AI agents — sub-millisecond queries, token budgeting, no embeddings, no API keys. Built on CodeGraphContext for 155-language tree-sitter indexing.

Gnosys — Persistent Memory for AI Agents. Sandbox-first runtime, central SQLite brain, federated search, Dream Mode, Web Knowledge Base, Obsidian export.

Production-grade AI coding toolkit — 70 agents (incl. devil-mode adversarial crew), 194 skills, 97 commands, parallel multi-agent commands, semantic intent routing, self-learning memory, and a built-in MCP server (16 tools / 6 prompts / 377 resources) tha

A high-level agentic framework for Model Context Protocol (MCP) with memory and LLM integration.

MeMesh — Local memory for Claude Code and MCP coding agents. One SQLite file, zero cloud required.

Configuration manager for AI coding tools - Claude Code, Gemini CLI, Codex CLI, Antigravity. Manage MCPs, rules, permissions, memory, and workstreams.

Persistent memory and agent lifecycle for Claude Code — because sessions shouldn't start from zero.

Versioned context store with hybrid search for AI agents. Stdio + HTTP MCP server and CLI.

MCP server for iOS leak hunting and performance investigation. 42 tools across .memgraph, .trace, and .mxdiagnostic files. v1.18 adds analyzeMetricKitPayload (42nd tool, post-mortem production-diagnostics from MetricKit JSON payloads — crash clusters, han

AI copilot for TouchDesigner with live MCP control — 106 tools, focus + locations, hint injection, component notes, POPx inspection, knowledge corpus, project lifecycle control, technique memory, typed patch sessions, agent activity log, one-tool self-upd

Persistent key-value memory — store and recall information across sessions as JSON files.

In-memory file cache — avoid redundant disk reads with mtime-based invalidation.

Agent Model Layer — One-line LLM access with built-in memory. 29 providers, 18 embeddings, zero lock-in.

Project-local RAG memory MCP server — knowledge graph + multilingual vector + FTS5 in a single SQLite file. Per-project isolation, 30 MCP tools, codepoint-safe chunking (Korean/CJK/emoji).

Production payment infrastructure for AI agents — real Stripe/Paystack/Lightning rails, autonomous shopping with escrow, Agent Credit Score (300-850), Ed25519 identity, behavioral finance, Merkle integrity, anomaly detection, human-in-the-loop approval. B

Ricord — persistent memory + repo knowledge graph for AI coding assistants. Ships an MCP server (`ricord-mcp`) and a repo ingestion CLI (`ricord init`).

Portable project memory context CLI — bootstraps semantic enrichment workflows for any AI coding agent.

ContextStream MCP server - v0.4.x with consolidated domain tools (~11 tools, ~75% token reduction). Code context, memory, search, and AI tools.

Local-first persistent codebase memory for MCP-enabled coding agents.

A Model Context Protocol server that acts as an intelligent conversation state manager and development guide for LLMs, featuring comprehensive long-term memory with persistent project artifacts

Local-first, LLM-agnostic memory layer for AI assistants. Run via npx @psraghuveer/memento.

Lightweight local memory layer for AI assistants — MCP server + HTTP API + CLI, backed by SQLite + FTS5. Works with Claude, Cursor, and Codex.