Best Memo AI Skills & MCP Servers

Knit — second brain for any MCP-speaking AI coding agent (Claude Code, Cursor, Codex CLI, Cline, Continue, GitHub Copilot). Per-project memory, tier-routed workflow protocol, parallel team worktrees.

Your AI forgets everything between sessions. cachly fixes that permanently. Persistent memory + causal root-cause analysis for Claude Code, Cursor, Copilot & Windsurf. Learns from every bug fix, git commit, and CI run automatically. Arrives pre-briefed. P

MCP tools that search, write, and auto-link your Obsidian vault — and learn from your edits.

Local memory layer for AI agents — coding assistants over MCP, game NPCs over REST

MCP server with four cognitive harness tools (harness_reasoning, harness_code, harness_anti_deception, harness_memory) that AI agents call before generating. Two install paths: stdio via `npx -y ejentum-mcp` (Claude Desktop, Cursor, Windsurf, Codex CLI, C

Memory consolidation for agents—MCP: search, memory write, commons read, blobs, browse.

MIND MCP Server — 28 tools. The most complete AI memory layer with the Focus → Project → Outcome → Task hierarchy (mind_focuses + extended mind_life with item_type/parent_id/focus_id and cross-account project sharing via share/list_shares/revoke_share), d

MCP server giving AI agents (Claude Code, Claude Desktop, Cursor, ChatGPT, Codex, OpenClaw) persistent long-term memory backed by your local Obsidian markdown vault. Hybrid retrieval (BM25 + ML embeddings + BGE reranker, RRF-fused), HNSW + int8 quantizati

Persistent memory for Claude Code and Pi with native Skills integration, automatic capture, failure learning, and project scoping

Repo memory for coding agents. Local-first MCP for Claude Code, Cursor, Windsurf, and Codex CLI: symbol graph, blast radius, diff-aware review, and git-pinned decisions. MIT; no API keys or code upload.

Persistent, searchable memory for Cursor AI — You control what your AI remembers.

Local-first project memory for AI coding agents.

Local-first MCP server for cross-agent AI memory. One SQLite + FTS5 corpus across Claude Code, Cowork, Cursor, Continue, Zed, Obsidian, and Telegram — passively captured, verbatim, searchable from any MCP-compatible client.

Lossless, project-scoped memory for AI coding tools. Durable context across sessions with 56 MCP tools, FTS5 search, conductor orchestrator, loop/watch monitoring, snapshot capture, pre-flight overlap checks, Claude/Codex/OpenCode wrappers, Linear sync, a

The MCP toolkit for AI agents. Voice MCP gives your AI a phone line through your own Twilio. Coder MCP gives it a memory across every Claude Code, Codex CLI, and Cursor session. One npm package, two capability modules, local SQLite, no SaaS in the middle.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Give your AI assistants long-term memory via the Model Context Protocol.

DollhouseMCP - A Model Context Protocol (MCP) server that enables dynamic AI persona management from markdown files, allowing Claude and other compatible AI assistants to activate and switch between different behavioral personas.

Mnemo MCP server — exposes persistent memory tools to Claude Code

Local-first MCP server that gives AI coding agents a living, browser-viewable project wiki and a project-local memory store, so the agent stays oriented and the human stays in control.

Continuous learning for Kiro agent sessions on AWS. Passive tool-use capture, LLM extraction, and synchronous context injection — inspired by claude-mem, aligned with Bedrock AgentCore Memory.

Open-source cross-agent memory layer for coding agents across Cursor, Claude Code, Codex, Windsurf, Gemini CLI, Copilot, Kiro, OpenCode, Antigravity, and Trae via MCP.

Nex CLI provides organizational context & memory to AI agents. Connect email, CRM, Slack, meetings, and 100+ tools into one knowledge graph. Delegates to the nex-cli binary.

Local persistent memory for Codex agents that captures, searches, and reuses project knowledge.

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