Infinite Memory: Your AI Agent Never Forgets

Every AI user knows the frustration. You spent hours last month building a complex Flask API with your AI assistant. Today you need something similar, but when you ask your AI to reference that work... nothing. It's gone. You're starting from scratch.

Traditional AI assistants suffer from what we call AI amnesia - they forget everything the moment you close the chat. That clever authentication flow you built together? Forgotten. The custom data pipeline? Gone. The debugging session where you finally cracked that tricky bug? Erased.

This isn't just inconvenient - it's a massive waste of time and context. You end up re-explaining the same concepts, re-solving the same problems, and re-building the same solutions.

Today, we're fixing that with Infinite Memory.

Infinite Memory is a built-in skill that gives your AI agent the ability to search through all your past conversations. It's like giving your AI a perfect, searchable memory of every task it's ever helped you with.

How it works:

When you ask a question that relates to previous work, your agent can search through your conversation history using natural language queries. It finds relevant threads, extracts the context, and uses that knowledge to help you - without you having to re-explain anything.

Example:

You: "How did I set up the database migrations last time?"

Agent searches memory: Found 3 related threads from the past month...

Agent: "In your Flask project from January 15th, you used Alembic for migrations. Here's the exact setup you used: [shows the configuration]. You also added a custom migration script for handling enum types - want me to use the same approach?"

Your AI now remembers. Everything.

Infinite Memory uses advanced full-text search with relevance scoring. You don't need to remember exact file names or use special syntax - just describe what you're looking for in plain English.

Search by topic:

• "Find threads about authentication"
• "Show me work related to React components"
• "What did I build with PostgreSQL?"

Search by problem:

• "How did I fix the CORS error?"
• "Find the thread where I debugged memory leaks"
• "Show me how I handled rate limiting"

Search by time:

• "What was I working on last week?"
• "Find my recent Python projects"
• "Show completed tasks from January"

Search by approach:

• "Find examples where I used WebSockets"
• "Show me how I structured API routes before"
• "Find threads that used Docker"

The search understands context and returns results ranked by relevance, with the most applicable conversations at the top.

You don't need to explicitly ask your agent to search memory. The skill activates automatically when your agent recognizes a question that could benefit from past context.

Triggers that activate memory search:

• "How did I..." or "What was the..."
• "Find the thread where..."
• "Remember when we..."
• "Show me my previous..."
• "Like I did before..."
• References to past work or projects

Example conversation:

You: "Set up authentication like I did in my last project"

Agent (automatically): Let me search for your previous authentication implementations...

Agent: Found it! In your "startup-api" project from 2 weeks ago, you implemented JWT authentication with refresh tokens. You used:

• PyJWT for token generation
• Redis for refresh token storage
• A custom middleware for route protection

Would you like me to implement the same approach here?

The agent seamlessly weaves past context into current work, making every interaction smarter than the last.

Infinite Memory indexes all your conversation threads, including:

Thread Metadata:

• Thread titles and descriptions
• Task summaries
• Creation dates and status
• Associated environment and agent

Message Content:

• Your prompts and requests
• Agent responses and explanations
• Code discussions and decisions
• Problem descriptions and solutions

Search Results Include:

• Relevance score - How closely the thread matches your query
• Thread title - Quick identification of the conversation
• Task description - What the thread was about
• Creation date - When you worked on it
• Status - Whether it's completed, active, or ongoing

You can filter results by status (completed, active, failed) to narrow down your search, and limit results to find only the most relevant matches.

Your conversation history is private and secure:

Project Isolation Memory search only returns threads from your current project. If you have multiple projects, they remain completely separate.

Encrypted Storage All thread data is encrypted at rest using AES-256-GCM encryption.

No Cross-User Access Your memory is yours alone. No other users can search or access your conversation history.

User Control You control which threads exist in your history. Delete a thread and it's removed from memory search results.

On-Device Processing Search queries are processed within your project's secure environment. Your search terms and results never leave your project context.

Infinite Memory gives you the benefits of persistent AI memory without compromising on privacy.

Continuing Complex Projects Working on a large codebase over multiple sessions? Memory lets your agent recall architectural decisions, coding patterns, and implementation details from weeks ago.

"Remember the event sourcing pattern we discussed for the order service?"

Learning From Past Solutions Solved a tricky problem before? Your agent can find that solution and apply it to similar challenges.

"Find how I fixed the N+1 query problem in the user dashboard"

Maintaining Consistency Keep coding style, naming conventions, and architectural patterns consistent across your projects.

"Use the same error handling approach as my other APIs"

Onboarding New Features Reference how you built similar features to maintain consistency when adding new functionality.

"Set up the payments module like I did the subscriptions module"

Documentation & Knowledge Your past conversations become a searchable knowledge base of how things were built and why.

"Why did I choose Redis over Memcached for caching?"

Code Review Context Recall the reasoning behind past implementation decisions during code reviews or refactoring.

"Find the thread where I decided on the database schema for users"

Infinite Memory is enabled by default in all workspaces. You can manage it from the Skills app:

Enable/Disable Toggle the Memory skill on or off per conversation. Disable it if you want a fresh start without past context.

Direct Search You can explicitly ask for a memory search:

• "Search my memory for authentication implementations"
• "Find threads about React hooks"
• "Look up my previous work on data pipelines"

Automatic Search Most of the time, you won't need to think about it. Just work naturally and your agent will search when relevant:

• "Continue where I left off on the dashboard"
• "Fix the same bug as last time"
• "Use my standard project structure"

View Results When your agent searches memory, you'll see the results in the conversation log with:

• The search query used
• Number of matches found
• Processing time
• Clickable links to open previous threads

Click any result to jump directly to that conversation and see the full context.

For those curious about how it works under the hood:

Search Technology

• PostgreSQL full-text search with ts_rank relevance scoring
• Natural language query processing
• Weighted field matching (title, task, messages)

Performance

• Sub-second search across thousands of threads
• Efficient pagination for large result sets
• Background indexing for new threads

API Access Developers using the Computer Agents API can access memory search programmatically:

Skill Script The skill runs a Python script that queries the search API:

Options include --limit, --status, --include-messages, and --json for different output formats.

Infinite Memory represents a fundamental shift in how AI assistants work. Instead of treating every conversation as isolated, your agent now builds on everything you've done together.

Before:

• Every chat starts from zero
• Re-explain the same concepts repeatedly
• Lose valuable context between sessions
• Waste time rebuilding what already worked

After:

• Continuous context across all sessions
• Reference any past work instantly
• Build on previous solutions and patterns
• Your AI actually learns your preferences

This isn't just a feature - it's a new way of working with AI. Your agent becomes a true long-term collaborator that remembers your projects, your preferences, and your patterns.

No more AI amnesia. No more starting over. Just seamless, continuous collaboration.

Get Started Infinite Memory is available now for all aiOS users. Open any conversation, enable the Memory skill, and start referencing your past work. Your AI finally remembers.