Why Grasppy
You build with Claude Code, Codex, Cursor, and whatever else moves you faster. They write the code and forget it. Grasppy captures every session, keeps the decisions, saves every version of your documentation, and checks every plan against the code that actually exists.
14-day Pro trial. No credit card. Bring your own API key.
One workspace for the AI tools you actually use, not one more silo.
Architecture choices, constraints, and rationale become searchable instead of buried.
Code, prompts, docs, commands, and reports stay connected to the turns that created them.
Every imported session makes the next session easier to continue.
The gap
Chat exporters keep transcripts. Note apps keep notes. Project folders keep files. Each is good at its piece, and none of them can tell you what was decided, why, or whether the code still matches the plan.
In AI-native projects, the conversation contains product reasoning, technical decisions, debugging paths, prompts, code snippets, process rules, tradeoffs, and the shape of the next move.
That is not just chat history. For builders, it is intellectual infrastructure.
AI can generate answers. The hard part is preserving the reasoning, decisions, files, and context behind those answers after the session is over.
Grasppy sits above the models, so your knowledge survives tool changes, long timelines, and the daily reality of using more than one AI platform.
What makes it different
The value is not one feature. It is the loop: capture the work, keep the decisions, preserve the artifacts, and check the next build against the plan.
Import conversations from AI chat tools, coding agents, and document sources into one project workspace.
Raw transcripts become topics, summaries, decisions, problems, solutions, entities, and source-linked knowledge.
Find why a choice was made, what alternatives were rejected, and which conversation created the rationale.
Prompts, snippets, markdown, reports, commands, and code artifacts become first-class context objects.
Session summaries, handoffs, context packs, and reusable prompts help new chats start with context instead of amnesia.
AI work can become plans, docs, skills, rules, and project references that stay connected to source conversations.
Auto-Sync
Plenty of tools let you save or search your AI chats. Grasppy is the only one that captures them automatically and turns each into a structured analysis you can reuse — across every AI tool, not one. Most "AI memory" stores facts for an agent; Grasppy keeps the whole conversation, organized, and current.
One ruleset, every agent
Write rules and skills once in Grasppy. We generate the right files for each agent—so behavior stays consistent across tools.
Edit standards once. Publish to Claude Code (.claude/rules/) and Codex (AGENTS.md) automatically.
See exactly what changed, keep versions, and roll back anytime—so agents don’t slowly diverge.
Each agent gets what it natively understands. No manual conversion. No duplicated rule files.
My Code
My Code maps your project locally, read-only, so you can see modules, dependencies, files, and structure without uploading your source code.
See modules, file groups, line counts, and dependency links in one visual overview.
Search files, open module details, copy paths, and understand where important code lives.
Generate a private mycode/ reference folder your local AI tools can read.
The scan runs in your browser and stays on your device. Grasppy does not upload your source code for this view.
Comparison
This is not a winner-takes-all argument. Many of these tools are excellent. Grasppy is the layer that preserves the work they produce and makes it reusable across your projects.
| Category | What they are good at | Where the gap appears | How Grasppy is different |
|---|---|---|---|
| Chat export tools | Saving or searching old conversations. | They usually stop at storage, folders, or transcript search. | Grasppy analyzes turns, extracts decisions, links artifacts, and checks the plan against the code. |
| ChatGPT or Claude Projects | Keeping context inside one assistant. | The knowledge remains platform-bound and hard to move across tools. | Grasppy creates portable, structured knowledge that survives tool changes. |
| Notion | Manual docs, wikis, databases, and team organization. | You still have to move AI work into it and decide what matters. | Grasppy captures the AI work Notion never sees, then turns it into structured context. |
| Obsidian | Local-first notes, markdown ownership, and personal knowledge graphs. | It depends on manual note-making, linking, and summarizing. | Grasppy starts from the AI conversations you already had and extracts the structure afterward. |
| NotebookLM | Analyzing uploaded sources and making research easier to study. | It is document-centric, not an ongoing record of how the project was built. | Grasppy preserves the AI workflow that creates new sources, decisions, and artifacts. |
| Developer memory tools | Remembering coding context, snippets, and developer activity. | They tend to focus on code activity more than multi-platform AI conversation knowledge. | Grasppy structures AI-native work across chats, docs, artifacts, prompts, skills, and publishing. |
| AI writing and SEO tools | Generating, optimizing, and publishing marketing content. | They often start from keywords or a blank page. | Grasppy Studio starts from real workflow knowledge: what you built, learned, tested, and shipped. |
| Grasppy | Capturing AI conversations and turning them into managed development cycles. | It is a new category, so users need to understand what a project record is for. | One system for source-linked context, artifacts, documentation, continuity, and publishing. |
The shortest version: Projects and folders organize chats inside one interface. Grasppy turns chats into portable, structured, verifiable project context.
Where each tool fits
It connects the missing layer between the tools you already use. Keep the tools. Stop letting their knowledge stay isolated.
Claude, ChatGPT, Gemini, Grok, Perplexity, Cursor, Replit, Codex, and others help you reason, code, research, draft, debug, and explore.
Notion, Obsidian, Google Docs, and markdown files are useful when you intentionally sit down to document something.
IDEs, coding agents, GitHub, and local files are where implementation happens, but they do not preserve the full discussion around the work.
Grasppy captures the AI work, structures it, links it back to source turns, and gives you a project record you can search, reuse, and continue from.
Included with Pro
The core product preserves what you build with AI. Grasppy Studio helps you publish what you learn from it: builder journals, technical posts, launch notes, product updates, and SEO-ready articles grounded in real work.
That matters because AI-native builders do not just need context. They need a way to explain the work, share the process, and grow an audience without turning every build session into a separate writing chore.
Common questions
If you are trying to decide whether Grasppy is a chat organizer, a wiki, or an AI writer, start here.
No. Chat organization is one surface-level use case. Grasppy parses conversations into turns, extracts decisions and artifacts, creates summaries and structured outputs, and connects knowledge back to source context.
Projects improve continuity inside one assistant. Grasppy is neutral across platforms. It turns work from many AI tools into portable project context, so your knowledge is not trapped inside one vendor.
Notion and Obsidian are excellent places to write and organize knowledge manually. Grasppy starts with the AI work you already did, then extracts structure, decisions, artifacts, and context automatically.
Grasppy is built first for AI-native builders: developers, indie makers, solo founders, and teams who use AI conversations as part of real project work.
Grasppy is designed to keep the record of how your software was built. The product supports bring-your-own-key AI usage, source-linked records, and portable exports so your knowledge remains usable outside any single chat platform.
Studio is the publishing layer. It helps builders turn real workflow knowledge into articles, journal posts, and launch content with voice calibration, SEO workflow, and built-in publishing tools.
