Contextberg Blog
Practical notes on why AI coding agents lose context, how MCP can expose work history, and how to design useful local memory.
Looking for a Rewind alternative? Explore the Mac and Windows guide →
What gets lost when design, review, and edits happen in different AI coding agents—and what a useful handoff should carry forward.
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.
Interruptions can make it hard to find your way back. A practical work-history approach to resuming a task, including for people exploring ADHD-friendly workflows.
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.
How Contextberg Browser AI History saves conversations from ChatGPT, Claude, Gemini, Perplexity, and Manus locally, then makes them searchable and useful to Codex and Claude Code.
A practical way to share research and desktop work context with Claude Code, Codex, and other MCP clients—without treating a chat transcript as the whole story.
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.