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How to capture tacit knowledge from everyday work

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.

Tacit knowledgeKnowledge sharingAI agentsWork history

What is persistent memory for AI agents?

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

AI agent memoryPersistent memoryWork contextClaude Code

Why browser and computer-use agents need work memory

Reading the current page tells an agent what is visible now. Recovering earlier research, decisions, and interruptions requires a different layer of context.

Browser agentsComputer useLocal memoryBrowser history

Connect the Contextberg MCP server with npx

Use the MCP bridge to make selected local work history available in Codex, Claude Code, Claude Desktop, or another compatible client.

Contextberg MCPnpxCodexClaude Code

Bring your browser research into Claude Code

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.

Claude CodeBrowser researchLocal work historyMCP

Find your next work-memory app

Compare Contextberg, Pieces, screenpipe, and Microsoft Recall: pricing, platforms, model choice, local processing, and AI integrations. Explore a Rewind alternative.

Work memoryRewind alternativeMicrosoft Recall alternativeMCP

Local work memory for Claude Code, Codex, and Cursor

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.

AI Agent MemoryLocal Work MemoryClaude CodeCodex