
Search AI Chat History Across ChatGPT, Claude and Gemini
Save and search ChatGPT, Claude, and Gemini conversations in one local Chrome archive. Learn how to find a saved answer, reopen its source, and export a chat.
Contextberg Blog
Practical guides and templates for resuming interrupted work, reviewing your day, and sharing work context with AI agents.
Looking for a Rewind alternative? Explore the Mac and Windows guide →
Save and search ChatGPT, Claude, and Gemini conversations in one local Chrome archive. Learn how to find a saved answer, reopen its source, and export a chat.
Resume coding, find a product you liked, prepare a client call, or organize a day trip. Try four distinct ways to use ContextBerg records with your usual AI.
The order of a task, the sources someone checks, and the questions they ask AI agents reveal how they work. Use work history to turn those habits into knowledge a team can reuse.
Struggling to remember what you did today? Copy a daily work log with completed work, source evidence, open questions, and one next action. Includes examples and a prompt for a draft grounded in recorded work.

A practical guide to the work context an AI agent needs across sessions: recent activity, decisions, research, and durable project knowledge.

Screen and keyboard history can be useful and sensitive. Here is how to evaluate local storage, capture controls, model routing, and deletion before recording work.

Chat logs, browser research, file changes, and reviews tell different parts of one task. Here is a way to connect them without confusing a recorded event with a proven decision.

Reading the current page tells an agent what is visible now. Recovering earlier research, decisions, and interruptions requires a different layer of context.
A tool connection does not define permission, reversibility, billing, or auditability. A practical checklist for exposing business operations to AI agents.

Why idle memory, CPU use, startup time, and storage growth matter for an app that records work in the background on Windows and macOS.

A short macOS walkthrough: record a small work session, connect Claude Desktop through MCP, and ask a question that verifies what was captured.

These tools remember different things for different users. Compare the memory boundary, integration point, and best starting question before choosing one.
Use the MCP bridge to make selected local work history available in Codex, Claude Code, Claude Desktop, or another compatible client.
Lost your place after an interruption or an AI chat? Practical ways to leave a restart cue, retrace work without a note, and choose extra support when you need it.
Save browser AI conversations and combine them with local PC work history in Claude Code. See an actual handoff and why ContextBerg fits work across multiple AI tools.

What gets lost when design, review, and edits happen in different AI coding agents—and what a useful handoff should carry forward.

A morning-resume workflow for recovering what you read, tried, decided, and left unfinished—not just the last message you sent to an agent.
Compare Contextberg, Pieces, screenpipe, and Microsoft Recall: pricing, platforms, model choice, local processing, and AI integrations. Explore a Rewind alternative.

Start free with Contextberg for macOS and Windows. Record work context locally, choose your AI model, and share memory with Claude Code, Codex, and Cursor through MCP.