
latent-k
Stop wasting tokens - give your AI a map of your code
latent-k launched on February 10, 2026 with 2 votes, #6,500 of 16,627 launches that month.
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.
Latent-K maps your codebase structure and file relationships, then automatically injects that context into your AI coding sessions. Everything your AI assistant needs to understand your codebase. Tracks imports, exports, and relationships between files. AI sees how your code connects. Every file read shows imports, dependents, and who calls each function. AI knows what would break before changing anything. Define business rules as YAML audits and validate them against your codebase with AI. Catch drift before it ships. When you run lk sync , Latent-K analyzes your codebase and maps file relationships. This context is automatically injected into your AI coding sessions via hooks, and Claude…from latentk.org
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toktrackFeb 2026 · github.com · ▲68Did you know Claude Code deletes your session data after 30 days? I found out the hard way when I tried to check my spending history. My session files hit 3GB (2000+ files) and existing tools took 40+ seconds. Rewrote it in Rust with simd-json + rayon. - First run: ~1s (vs 40s+) - Daily use: ~0.04s (1000x faster, cached) - TUI dashboard with daily/weekly/monthly breakdown - Supports Claude Code, Codex CLI, Gemini CLI - Persistent cache — history survives even after CLI deletes files GitHub: https://github.com/mag123c/toktrack Feedback welcome!
Retain – A unified knowledge base for all your AI coding conversationsJan 2026 · github.com · ▲45Hey 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…
VexpMar 2026 · vexp.dev · ▲14I built vexp because AI coding agents have two expensive problems: they waste tokens reading irrelevant code, and they forget everything between sessions. The token problem: agents read entire files linearly to build context. On a medium TypeScript project, a single query was consuming ~18k tokens — most of it irrelevant. vexp builds a dependency graph from the AST (who calls what, who imports what, what types flow where) and serves only the relevant subgraph as a token-budgeted capsule. ~2.4k tokens instead of ~18k, with better response quality because the context is precise. The memory…


`npx continues` – resume same session Claude, Gemini, Codex when limitedFeb 2026 · github.com · ▲15i kept hitting rate limits in Claude Code mid-debugging, then hopping to Gemini or Codex. the annoying part wasn't switching tools (copy-pasting terminal output doesn't bring tool-use context with it) — it was losing the full conversation and spending 10 minutes re-explaining what i was doing. so i built *continues*. it finds your existing AI coding sessions across five tools (Claude Code, GitHub Copilot, Gemini CLI, OpenAI Codex, OpenCode), lets you pick one, and generates a structured handoff so you can continue in another tool without starting from zero. npx continues # interactive TUI:…
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