AI app for it and development · no coding needed
Cross-tool AI conversation memory library
Keep useful context from AI chats available across different AI tools so users stop repeating themselves.
Made for: Developers, consultants and small teams who use several AI chat tools and lose context between them
What it does for you
The problem
Context and preferences from past AI chats stay trapped in each tool, so users repeat themselves and lose useful decisions.
What it gives you
Searchable, permissioned memory entries
What you give it
Authorized conversation exportsproject notespreference lists
Build your own version of OpenMemory Chrome Extension, CogniMemo Extension and more
One app with what these 10 AI tools do, yours to keep and change: OpenMemory Chrome Extension, CogniMemo Extension, AI Context Flow, MemSync, Memdex, Hemory, YourAIScroll, Personal AI Memory, ChatGPT Saved Chats, Draft.
Everything these tools do, in one app
- Cross-platform memory sync Keeps your context and preferences available across multiple AI chat platforms so you don't repeat yourself.Found in OpenMemory Chrome Extension, CogniMemo Extension, AI Context Flow and 3 more
- Automatic conversation capture Passively records your AI chats in the background without changing your workflow.Found in Memdex, Personal AI Memory, Draft
- Local encrypted storage Stores your conversation data on your own device with encryption instead of on external servers.Found in Memdex, Personal AI Memory, Draft
- Searchable memory store Lets you search your saved notes, past chats, and other content to find relevant context.Found in CogniMemo Extension, Personal AI Memory, ChatGPT Saved Chats and 1 more
- One-click context injection Inserts saved context into a new AI chat with a single action.Found in AI Context Flow, Memdex
- In-chat retrieval trigger Lets you search your saved memory from inside a chat using a shortcut like @cogni.Found in CogniMemo Extension
- Memory management dashboard Provides a central place to view, edit, and manage your stored memories.Found in OpenMemory Chrome Extension
- Memory hygiene controls Offers scoped retrieval, decay and versioning metadata, and edit/delete/audit options for entries.Found in CogniMemo Extension
- Reusable context snippets Stores project context like brand voice or client notes once and reapplies it across chats.Found in AI Context Flow
- Multi-tier memory architecture Balances short-term recent turns, mid-term summaries, and longer-term vectorized context for retrieval.Found in AI Context Flow
- Floating on-page assistant Explains or writes using your stored knowledge on any website.Found in CogniMemo Extension
- Social post archiving Syncs and archives social posts like X/Twitter into your searchable memory store.Found in CogniMemo Extension
- End-to-end encryption Protects your data with enterprise-grade encryption.Found in MemSync
- Project-oriented indexing Uses project indexing and episodic summaries to surface the most relevant sections rather than entire conversations.Found in Memdex
- Continuous background listening Listens passively for up to 24 hours with one tap and separates conversations by activity.Found in Hemory
- Speaker labels Auto-splits your day into moments and applies speaker labels to each conversation.Found in Hemory
- MCP connectivity for agents Connects to AI agents like Claude, Codex, Cursor, or OpenClaw so they can pull historical conversations as context.Found in Hemory
- Multi-device support Runs on iPhone, Android, and Apple Watch without extra hardware.Found in Hemory
- Audio transcription and discard Transcribes original audio then discards it, keeping only text memory in the cloud.Found in Hemory
- Chat export to files Exports conversations in Markdown, HTML, JSON, or Plain Text.Found in YourAIScroll
- Notion integration Saves AI conversations directly to Notion with one click.Found in YourAIScroll
- Preserves rich content types Keeps Canvas, Artifacts, Diagrams, and Web Search Citations intact in exports.Found in YourAIScroll
- Import/export conversation data Supports importing and exporting conversation data including Google Takeout and ChatGPT logs.Found in Personal AI Memory
- In-browser embeddings and indexing Enables local search and recall without cloud APIs by running embeddings in the browser.Found in Personal AI Memory
- Chat tagging and categorization Lets you categorize or tag chats for better organization.Found in ChatGPT Saved Chats
- Editable WYSIWYG notes Preserves formatting including formulas and toggled sections in editable notes.Found in Draft
- Text-to-speech playback Plays back saved conversations as audio.Found in Draft
- Offline access Keeps saved content available offline for review.Found in Draft
- Backup and restore Provides local storage with backup and restore options.Found in Draft
How it works, step by step
- Capture conversations from supported AI chat tools automatically
- Store captured data locally with encryption by default
- Index entries for search across notes, chats and imported files
- Inject selected context into a new chat with one action
- Trigger in-chat retrieval with a shortcut such as @memory
- Manage entries in a central dashboard with edit and delete
- Apply scoped retrieval, decay and versioning metadata
- Save reusable snippets for brand voice, client notes or project rules
- Balance recent turns, summaries and vectorized long-term context
- Explain or draft on any page using stored knowledge
- Archive social posts into the same searchable store
- Index by project and episodic summary rather than whole conversations
- Listen continuously and split conversations by activity and speaker
- Connect agents through MCP to pull historical conversations
- Run on phone, tablet and watch without extra hardware
- Transcribe audio then discard it, keeping only text
- Export conversations to Markdown, HTML, JSON or plain text
- Save conversations to Notion with one click
- Preserve Canvas, Artifacts, diagrams and citations in exports
- Import and export data including Google Takeout and ChatGPT logs
- Run embeddings and indexing in the browser for local recall
- Tag and categorize chats for organization
- Edit notes in WYSIWYG form with formulas and toggled sections
- Play back saved conversations as audio
- Keep saved content available offline
- Back up and restore local storage
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Cross-tool AI conversation memory library with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Cross-tool AI conversation memory library with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links6 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Keep useful context from AI chats available across different AI tools so users stop repeating themselves. For developers, consultants and small teams who use several AI chat tools and lose context between them, convert captured conversations, saved snippets and project notes into a searchable, permissioned memory library that can be injected into any supported chat. The benefit is a testable hypothesis, measured through repeated-context minutes saved per task and accepted context injections per week; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect authorized conversation exports, project notes and preference lists, then follow this sequence: 1. Capture conversations from supported AI chat tools automatically. 2. Store captured data locally with encryption by default. 3. Index entries for search across notes, chats and imported files. 4. Inject selected context into a new chat with one action. Resolve uncertain cases with qualified reviewers, approve searchable, permissioned memory entries, and measure repeated-context minutes saved per task and accepted context injections per week against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final decisions about what context to inject and what to share remain with the user. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve user voice, source attribution, quotation accuracy and usage permissions. Users approve substantive changes and sharing scope. One supported chat tool and one browser; local encrypted storage by default; final decisions about what context to inject and what to share remain with the user. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One supported chat tool and one browser; local encrypted storage by default; final decisions about what context to inject and what to share remain with the user. Implement one approved input format, a bounded representative case set and the first two task modules: capture conversations from supported AI chat tools automatically; store captured data locally with encryption by default. Support the third module with operator review: index entries for search across notes, chats and imported files. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Authorized conversation exports, project notes and preference lists. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Memory library and search, Entry detail and edit, Context injection and settings. Use a searchable list with filters for source tool, project, tag and date, a large central entry view with version history, and a right-hand panel for scope, permissions and linked conversations. Let users compare entry versions side by side. Display captured, reviewed, scoped and archived states. Provide a client or teammate preview link with comments anchored to the relevant entry. Make the task-specific outcome searchable, permissioned memory entries visible beside their evidence, review state and value baseline.
