TurnZero – Persistent Expert for LLMs

Name: TurnZero – Persistent Expert for LLMs
Availability: InStock
Author: dmilicev2

by dmilicev2·May 2, 2026·2 points·0 comments

Visit Project View on HN

AI Analysis

●●SolidSolve My ProblemSlick

Injects context before Turn 0 to reduce cold starts in Cursor and Claude Code.

Strengths

•Semantic similarity matching injects stack-specific priors only when relevant.
•Local-first design ensures raw prompts are never stored or sent externally.
•Works across multiple clients via standard MCP server registration.

Weaknesses

•Relies on MCP adoption; useless for users sticking to standard API integrations.
•Personal priors load once per session, limiting dynamic context updates mid-chat.

Post Description

In an attempt to reduce cold starts in AI sessions Ive made a tool that runs as an MCP server and loads the context before Turn 0.

Two things happen:

Personal Priors - your workflows and standards loads once per session and persists across every supported AI client.

Expert Priors - when prompt is stack specific, relevar priors inject based on semantic similarity. This is to reduce errors and unwanted behaviour of the AI.

Privacy guarantee: local-first by design. Raw prompts are never stored. Injection is always client-side.

```bash pipx install turnzero turnzero setup # registers MCP server with Claude Code, Cursor, Claude Desktop, Gemini CLI turnzero verify # confirms everything is wired correctly ```

Demo:https://asciinema.org/a/8IV2yoLNTloSlZo0

Repo: https://github.com/turnzero-ai/turnzero