
latent-k
Stop wasting tokens - give your AI a map of your code
What it does
AI coding assistants waste tokens re-exploring your codebase every session. latent-k fixes this by maintaining a persistent dependency map that's automatically injected as context. - Auto-syncs when files change - ~3k tokens for 80 files (vs ~15k raw) - Tracks imports, exports, and callers - MCP server for on-demand queries - Persistent notes across sessions Works with Claude Code & Gemini CLI. Supports JS/TS, Python, Go, Rust, Java, PHP, Ruby, C#, C/C++. 14-day free trial, then $9/month.
Does the same job
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Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…

- SPSimple plugin to get Claude Code to listen to youMar 2026 · gopeek.ai · ▲18
Hey HN, My cofounder and I have gotten tired of CC ignoring our markdown files so we spent 4 days and built a plugin that automatically steers CC based on our previous sessions. The problem is usually post plan-mode. What we've tried: Heavily use plan mode (works great) CLAUDE.md, AGENTS.md, MEMORY.md Local context folder (upkeep is a pain) Cursor rules (for Cursor) claude-mem (OSS) -> does session continuity, not steering We use fusion search to find your CC steering corrections. - user prompt embeddings + bm25 - correction embeddings + bm25 - time decay - target query embeddings -…

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