Skip to content
AI News HubLIVE
More
Summary only

Show HN: Open Kioku – local evidence layer for AI coding agents

Open Kioku is an open-source tool that provides AI coding agents with an evidence layer using local indexes and read-only MCP tools. It enables code search, symbol resolution, impact analysis, and validation planning before any edits are made, supporting agents like Claude, Cursor, Codex, and more.

SourceHacker News AIAuthor: shivyadavus
Show HN: Open Kioku – local evidence layer for AI coding agents
Report an error

The correction channel is not available yet. You can copy the article reference below for later.

Correction instructions

Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

Article intelligence

EngineersAdvanced

Key points

  • Open Kioku gives AI coding agents a local evidence layer to reduce token waste and incorrect inferences before editing code.
  • Easy installation: npm install -g open-kioku, then run ok index to create a local index.
  • Supports multiple agents via ok mcp install: Claude, Cursor, Codex, Gemini CLI, Windsurf, Trae, Zed, and OpenCode.
  • Includes advanced features like index snapshots, quality modes, and workflow benchmarking.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

More recent stories on this topic · Agents

Show HN: Open Kioku – local evidence layer for AI coding agents | AI News Hub