ContextVault never lose AI conversations

What it does

ContextVault is a local-first Chrome extension that automatically records your AI conversations across ChatGPT, Claude, Gemini, and other LLMs. It turns them into structured Markdown or ZIP archives — fully owned by you, fully local, with zero backend. Key Features 🧠 Real-time AI conversation capture 🔄 Works across multiple LLMs (ChatGPT, Claude, Gemini, etc.) 💾 Local-first storage (no backend, no tracking) 📦 Export to Markdown / ZIP 🏷️ Organize by tags & projects

Capture browser LLM chats and terminal agent sessions, combine them in one local index, retrieve relevant memory, and prepare portable context packages. No backend. No accounts.

ContextVault captures browser conversations and terminal work sessions, combines them in one local index, and prepares portable context for the next model or coding agent. Pick any local folder. ContextVault creates its .contextvault storage there. Every chat, terminal session, and agent run contains decisions you might need again. Today, that knowledge is scattered or lost. Every switch between ChatGPT, Claude, Gemini, Codex, Cursor, or a terminal session can reset the working memory. Long chats and agent sessions get truncated. Important insights vanish before they become reusable memory. Your context lives across browsers, terminals, accounts, providers, agents, and sessions with no…from context-vault-two.vercel.app

• 
  AI Context FlowNov 2025 · chromewebstore.google.com · ▲431

  Reusable AI Memory for Smarter Prompts Anywhere

• 
  AI Toolbox 3.0Jul 2026 · ai-toolbox.co · ▲434

  AI Toolbox (formerly ChatGPT Toolbox): folders, search, bulk export, and prompt chaining for ChatGPT, Claude, Gemini, and Grok. 40,000+ users. Start free.

• 
  ContextVault – Shared memory layer for your AI and your teamJul 2026 · contextvault.dev · ▲12

  Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventions, architectural decisions, examples, and other pieces of context that made the models significantly more useful. The problem was that this information quickly became fragmented. Some lived in ChatGPT Projects, some in Claude, some in Markdown files, some in internal documentation, and some only existed in previous conversations. Late last year, I realized several people on our team were solving the same problems independently because previous…

• 
  PromptVaultMay 2026 · mypromptsvault.com · ▲4

  Save & reuse AI prompts in 1 click — ChatGPT, Claude & more

• 
  ContextVaultJul 2026 · contextvault.cloud · ▲7

  The missing memory layer for AI

• 
  AI Memory Layer for ChatGPT and Claude.2025 · teamlayer.xyz · ▲26

  Shared persistent memory across all your LLMs.

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 17d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 17d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 19d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 20d ago · stillwet.art

• 
  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 29d ago · world.pixverse.video

• 
  Hemory▲381

  Keep listening. Searchable memory for your AI agents.

  AI · 30d ago · hemory.com

• 
  Brew ▲900

  Like Claude design for email marketing

  AI · May 2026 · brew.new

• 
  Kilo Code for VS Code▲896

  Parallel agents, diff reviewer, and multi-model comparisons

  Dev tools · May 2026 · kilo.ai

• 
  StoreClaw▲806

  Grow your store profits with agents that know how to sell

  AI · May 2026 · storeclaw.ai

• 
  PollyReach▲795

  Give your agent a real number and voice to make calls.

  AI · May 2026 · pollyreach.ai

• 
  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

• 
  Files.md – Open-source alternative to Obsidian▲730

  🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md

  Dev tools · May 2026 · github.com