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Importing your chat history is step one. The payoff is what comes next: your AI reaching back into months of past conversations and pulling the relevant slice into the chat you’re having right now.

See it in action

Without MemoryPlugin: Without MemoryPlugin The AI has no context about your past conversations and gives generic answers. With MemoryPlugin: With MemoryPlugin The AI sees relevant context from your chat history and responds based on your previous discussions.

How it works behind the scenes

When chat history context is requested, MemoryPlugin doesn’t dump raw chunks into your prompt. It retrieves and condenses:
  1. Query understanding. Your query is analyzed to generate several search variations and extract any date filters (like “last month”).
  2. Hybrid search. Semantic and keyword searches run in parallel across your history.
  3. Reranking. Results are reranked by relevance to your specific query.
  4. Context expansion. For each match, surrounding messages are pulled in for complete context.
  5. Summarization. The expanded context is summarized to fit your token budget. Tens of thousands of tokens of raw conversation might come back as a few hundred tokens of relevant summary.
Because it searches, reranks, and summarizes on each call, a recall takes a few seconds rather than being instant. That buys you condensed, relevant context instead of a wall of raw transcript.

Browser Extension

The Browser Extension works across all major AI platforms. Supported platforms: ChatGPT, Claude, Gemini, Google AI Studio, Grok, Poe, DeepSeek, Qwen, and more. How it works:
  • Runs one round of retrieval per message
  • Injects automatically (context on every message) or manually (only when you click the MemoryPlugin button)
  • Uses the token limits configured in extension settings
The extension isn’t calling a tool. It inserts an instruction asking the AI to emit a recall marker line that the extension detects and fills with context before the message is sent. Turn it on with the Chat History Recall toggle in the extension’s settings.
Chat History Memory is separate from Regular Memory in the browser extension. They use different systems and different buttons.

Remote MCP Server (more control)

The Remote MCP Server is the most flexible way to use Chat History Memory. Instead of a marker, MCP clients call a real tool named recall_chat_history. Supported platforms: Claude Desktop, Claude Web, Claude Mobile, Mistral AI, Cursor, Continue, and other MCP-compatible clients. What recall_chat_history can do:
  • Multiple rounds of retrieval in a single conversation, not just one per message
  • Parallel queries. Send up to 15 queries that all run at once, each hitting a topic from a different angle (timeline, people, decisions, outcomes)
  • Per-query token budget. maxTokens defaults to 600, capped at 2000; 300 to 1000 is the useful range. More tokens means richer detail but a bigger chunk of the conversation window
  • Date bounds. Constrain a query with before / after using ISO dates like 2025-01-15. Bare dates are interpreted in UTC and inclusive on both ends
  • Speed or quality mode. Defaults to speed; ask for quality mode for slower but more thorough recall on hard or ambiguous queries
How you drive it: You drive it with plain-language instructions to the AI:
"At the start of every conversation, use recall_chat_history to load
context about my skills and learning style."

"Run recall_chat_history with several parallel queries about this
project from different angles: technical details, design decisions,
user feedback, implementation challenges, and future plans."
The AI makes the calls you ask for, and weaves the condensed context back into its response.
Best experience: Claude (Desktop, Web, or Mobile) and Mistral AI. These models are good at agentic tool use and at folding retrieved context into an answer naturally.

Controlling what gets added

Use exclusions to keep specific chats out of context: sensitive conversations, off-topic chats, or outdated discussions. When you exclude a chat, its content is deleted and it won’t be re-imported on future uploads or syncs. A placeholder remains so it isn’t re-processed.

Searching and analyzing your history

You can also search and question your history in the dashboard:

Search your history

Find specific discussions by topic, keyword, or timeframe with hybrid search.Go to Dashboard → Search

Ask questions

Get answers synthesized from your history, with citations, using the unified Ask tool.Go to Ask

Tips for best results

With the MCP server, tell the AI exactly what to recall. Instead of “use MemoryPlugin,” say “recall context about my React projects” or “recall my cooking preferences.”
For thorough coverage, ask for several parallel queries at once (up to 15): “recall this from a few angles: technical details, design decisions, and user feedback.”
Sometimes you want a lot of context (many queries, higher token budgets), sometimes none. Both are fine, and depth helps even for creative writing or documentation where past context keeps things consistent.
Tell the AI when to recall: at the start of every conversation, only when you mention it, or just for certain kinds of questions.

Limitations

Chat History doesn’t yet reason about how a fact evolved. If you struggled with a topic in March but understood it by June, the AI may not know which is current. We’re working on this.
How well the context lands depends on how good your AI model is at using retrieved context. Some models incorporate it better than others.

Troubleshooting

Try:
  • Confirm the Browser Extension or Remote MCP Server is installed and signed in
  • For the browser extension, check that Chat History Recall is enabled in settings
  • For MCP, explicitly ask the AI to use recall_chat_history
  • Confirm you’ve uploaded and processed chat history
Try:
  • Be more specific in your prompt or instructions
  • Exclude irrelevant chats from the Chats tab
  • For MCP, ask the AI to use fewer tokens or narrower queries
If issues persist, contact support with the platform you’re using, your integration method (Browser Extension or Remote MCP Server), and a description of the issue.

Next Steps

View Dashboard

Search your history, ask questions, and manage your conversations

Browser Extension Setup

Install and configure the Browser Extension

Remote MCP Server Setup

Set up the Remote MCP Server for Claude Desktop and other clients

Back to Introduction

Review what Chat History Memory is and why it matters