Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.
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Turbo Quant Memory is the memory layer that makes AI agents feel like long-term teammates instead of short-term chat sessions.
If you use Claude Code, Codex, Cursor, OpenCode, Cursor CLI, or any MCP client, this is how you keep your institutional knowledge alive between tasks.
Most agent workflows fail in the same place: memory.
Turbo Quant Memory fixes this by making your project knowledge persistent, searchable, and reusable.
| Typical AI workflow | With Turbo Quant Memory |
|---|---|
| Agents forget context between sessions | Agents can continue from saved project knowledge |
| Decisions stay buried in old threads | Decisions become reusable notes |
| Team knowledge stays inside one person's head | Knowledge becomes shared, searchable, and portable |
| Token budget is wasted on repeated reading | Context is loaded smarter, so more budget goes to reasoning |
Your agents stop behaving like temporary assistants and start behaving like members of the team.
Mine your Claude Code and Codex logs into a local you.md agent profile.
Local-first AI coding agent for VS Code & Cursor. Ollama, LM Studio & your inference fleet. Cursor-grade agent UX — offline, private, zero token cost.
A self-improving skill for AI coding agents (Claude Code, Cursor, AGENTS.md): recognize a hard-won golden path in a session and harvest it into a reusable skill/rule for next time.
Second brain for Forward Deployed Engineers. Engagement memory + 35 skills across 6 domains, all behind one @fde... Works with any AI coding agent.
Game-development Agent Skills for AI coding agents: install once and a master router loads the right skill for your engine and task. 66 original, version-pinned skills (plus a master router) in the portable SKILL.md format that runs across Claude Code, Cursor, Codex, Copilot, Gemini CLI and more, for Godot, Unity, Unreal, web and beyond.
Honey (I Shrunk the AI) by GreenPT: a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — write less code, less prose, and denser agent-to-agent handoffs (−53%, lossless in benchmarks) with no loss of quality. Works with Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, Windsurf, Cline & Kiro.
Workflows from the Neura Market marketplace related to this Cursor resource