Capture · Plan · Build · Verify · Remember

The workspace around your AI coding tools.

Nothing gets lost. Grasppy captures every conversation, records every decision, saves every version of your documentation, and shows where your app has drifted from the plan.

The Grasppy cycle — capture the conversation, plan the work, build against the plan, verify it against the code, and remember the result

14-day Pro trial · No credit card · Bring your own API key · Cloud-synced workspace

The app outgrows everyone building it — you and the assistant.

It works for a few weeks. Then it is fifteen thousand lines nobody has read end to end, the assistant is confidently rewriting something it fixed on Tuesday, and you are no longer building — you are fighting the thing you built. You did not get worse at this. The project got bigger than what either of you can hold.

01

You re-explain your own project

Every fresh session starts with you typing the background again — the architecture, the decisions, the things not to touch. You are the context window, and you are the one who gets tired.

02

It breaks what it already fixed

The assistant has no memory of Tuesday’s reasoning, so it solves the same problem differently today and undoes the fix on its way past. Nothing warns you. You find out in production.

03

By version four, nobody can say what changed

One and two you remember. Three you can reconstruct. By four you are opening files side by side trying to work out what moved and whether it mattered — and the reason it changed is nowhere.

04

You cannot see the shape of it any more

What imports this file? What breaks if I change this function? On a codebase you wrote by hand you knew. On one you built with AI you never did — and the assistant is guessing too.

The fix is not a better assistant, and it is not another folder. It is a way of working that keeps its own records.

Build beyond what you can keep in your head.

Research, plan, build, capture, repeat. Each pass leaves your rules, memory and code map better than it found them, so the work gets easier as the project gets bigger — which is the opposite of what normally happens.

One loop

Context compounds

Every cycle feeds the next one with stronger memory.

01 · Research

Research & ideas

Gather what you're learning, before you build.

02 · Plan

Plan

Turn it into a structured, versioned plan.

03 · Build

Build & verify

Use your rules, memory, and code map while building.

04 · Capture

Document & remember

Capture what changed, why it changed, and how to reuse it.

05 · Repeat

Next cycle, smarter

Start the next pass with stronger context.

Every cycle feeds the next: conversations become research, research becomes plans, plans guide code, code becomes documentation, and the next build starts with more context.

My Code maps your project locally.

See your codebase as modules, files, and dependency links, then give local AI tools a compact reference instead of scattered source files.

Three things have to be true at once.

Any one of them alone leaves you where you started. Structure without upkeep goes stale. Upkeep without a written answer means re-reading everything. A written answer nobody checked is worse than none.

01 What it does

Structure

Every conversation is read and broken into decisions, topics and the files they touched. Not a transcript you scroll — something with a shape you can query.

02 Why it stays true

Upkeep

Documentation rots quietly. It was true yesterday, it still reads as true today, and you only find out when you act on it. This updates as the work does, so what is on the page and what is in the code do not drift apart.

03 Who says so

Approval

Nothing is filed behind your back. Request, review, approve — every update arrives as a change you can read, accept or reject before it becomes the answer your agents will trust tomorrow.

The session is filed before you know it mattered.

A helper on your machine files every Claude Code and Codex session as it happens, and the browser extension covers the other fifteen platforms. Set it once, then forget it — every hour to every twelve, or on demand with one click. Months later you pick the project up from what was captured instead of explaining it again.

Conversations Claude Code session Configured once, then pulled on its own rhythm. Every 1h Two-click setup
Conversations Codex session New turns are extracted without changing how you work. Pull now Or schedule 1h-12h
Auto-Sync pipeline

Extract, transform, populate

On each schedule, Grasppy pulls the new conversation data, analyzes it, and updates the workspace automatically.

Decisions

What changed, why, and what was approved.

Artifacts

Code, prompts, docs, and generated files.

Memory

Project state for the next AI session.

Plan context

Next steps for verification and build.

Each conversation can sync on schedule or pull on demand, then populate Grasppy automatically

A map your agents can actually navigate.

Grasppy mirrors your AI history, documents, artifacts, memory, rules, plans, and research into a one-way local vault, then organizes it as a visual context graph built for humans and agents.

Context Vault is not a raw export. It is a one-way local mirror plus an intelligent routing layer: root manifests, high-signal indexes, conversation summaries, source-grounded Markdown, and a native visual graph layer inside your local grasppy-exports/ folder. Every extracted insight links back to the exact turn it came from, so you can check it before you reuse it.

Agent-readable by default Claude Code, Codex, Hermes, OpenClaw, and local agents can start at CONTEXT.md and follow the map.
Visual context graph Explore conversations, artifacts, documents, EoCs, entities, topics, and decisions as an interactive node map.
High-signal search first Turn catalogs, importance scores, keywords, entities, topics, and decisions help agents avoid low-value noise.
One-way local mirror Grasppy writes generated files locally. Local edits never overwrite your Grasppy data.
Explore Context Vault Designed for the agent era, not just storage.
grasppy-exports/context-vault/ one-way mirror
CONTEXT.md root map
indexes/high-signal-turns.tsv fast search
graph/graph.html visual map
conversations/ source threads
artifacts/ documents/ analysis/ outputs
1. Open the mapAgents begin with CONTEXT.md.
2. Open the graphSearch, filter, and trace communities before reading files.
3. Read sourcesFull Markdown is opened only when needed.

A quick look at the app

Real screens from real workspaces. Every number, chart, and chat below is Grasppy actually in use.

01

Your whole project, at a glance

The dashboard shows what you've captured across every AI tool — documents, analyses, artifacts, projects, prompts, skills — alongside a 5-week activity heatmap and a live breakdown of which platforms produced what.

Grasppy dashboard showing 9 documents, 114 analyses, 12 artifacts, 13 projects, 16 prompts, and 23 skills — with a 5-week activity calendar, weekly analyses bar chart, and a platform-breakdown donut chart
02

Every chat, restructured

Grasppy's 7-stage pipeline extracts decisions, code, and reasoning from your chat — then renders them as decision trees, process flows, and technical briefs. Every node links back to the exact source turn.

Grasppy Decision Tree view rendering a color-coded flowchart of decisions and reasoning extracted from an AI conversation, with the original chat thread visible side-by-side for source verification
03

Every project, in one tree

Every workspace organizes into named projects with auto-updating word counts and last-edited timestamps — from Grasppy's own documentation to your user guide, marketing research, skills, prompts, rules, memory, and journal.

The Grasppy Context System — an always-on context layer feeding the compounding work loop
04

See how every idea connects

Grasppy maps the entities, decisions, and concepts in your conversations into a navigable knowledge graph. Spot patterns across projects, find related work months later, and never lose the thread of an idea.

Grasppy Knowledge Graph view in dark theme showing Semantic Intent Markers — a dense web of color-coded nodes and connections mapping the entities, decisions, and concepts across an AI conversation

Your AI tools. Connected.

17 AI platforms. 8 document formats. One knowledge base. Import the conversations and the documents they reference — and search across all of it. More integrations added monthly.

AI Chats
Documents
Claude AI logoClaude
ChatGPT AI logoChatGPT
Gemini AI logoGemini
Grok AI logoGrok
Claude Code AI assistant logoClaude Code
OpenAI Codex Desktop AI coding agent logoCodex Desktop
Cursor AI code editor logoCursor
Windsurf AI code editor logoWindsurf
GitHub Copilot AI assistant logoGitHub Copilot
DeepSeek AI logoDeepSeek
Perplexity AI logoPerplexity
Mistral AI logoMistral
Bolt AI app builder logoBolt
Lovable AI app builder logoLovable
Voila AI logoVoila
Replit AI coding platform logoReplit
TypingMind AI logoTypingMind
PDF document format iconPDF
Microsoft Word document iconWord / DOCX
Google Docs iconGoogle Docs
Microsoft PowerPoint iconPowerPoint
Microsoft Excel spreadsheet iconExcel / CSV
Image file format iconImages
Markdown file format iconMarkdown
Web page format iconWeb Page

17 platforms supported

What one cycle actually looks like.

Six steps, each one leaving something behind: the captured session, the analysis drawn from it, the research you added, the plan you approved, the build done against that plan, and the verification that says whether the code matches it.

Capture conversations
Analyze context
Add focused research
Create the plan
Approve and build
Verify completeness
Update docs & publish
Preserve memory
Capture conversations

Auto-sync or import AI conversations from coding agents and chat tools. Grasppy extracts decisions, artifacts, problems, ideas, and unfinished work so the session becomes project context you can search and reuse.

Analyze context

Grasppy parses the session, identifies decisions, entities, artifacts, topics, and useful project knowledge. The conversation stops being a scroll and becomes structured context you can act on.

Add focused research

Create focused research when the next decision needs more information. Store it inside the project so research sits beside the work it informed.

Create the plan

Turn conversations, decisions, and research into a written development plan. Iterate with AI until the plan is clear enough to review, approve, and execute.

Approve and build

The human approves the plan, then local AI builds from the written steps instead of improvising from a loose prompt. If the plan changes, the change is recorded with it.

Verify completeness

Run a plan review against what was actually built. Missing or incomplete steps are appended to the plan so the work can be corrected, reviewed, and verified again.

Update docs & publish

Generate documentation check-ins, approve changes, and keep the project source of truth current. When the work becomes publishable, turn the same verified context into usable content.

Preserve memory

Review the memory snapshot, approve or reject changes, update local AI memory, save the end-of-chat report, and start the next development cycle with better context.

Built for builders whose project got bigger than they planned.

Whether you write the code yourself or the AI writes most of it, the trouble arrives the same way: the project grows past what anyone can hold in their head.

👨‍💻

Developers

Engineers shipping production code with AI — Claude Code, Codex, Cursor, Windsurf, Copilot. Keep every architecture decision tied to the code it produced, and know when the two stop matching.

🚀

Indie Makers

Founders, designers and vibe coders shipping real products through AI — Lovable, Bolt, Replit, ChatGPT, Claude. Build without writing every line, and still be able to say what is in there and why.

Coming Q3 2026
👥

Dev Teams

Shared project memory across the whole team — searchable decisions, role-based access to workspaces and documents, and a single source of truth for everything your team discussed with AI.

The tools that write your code do not remember writing it. Grasppy does — and checks what got built against what you planned.

Frequently asked questions

Everything you need to know to get started.

What is Grasppy?

Grasppy is the workspace your AI-built project lives in: it captures every session, keeps the decisions, versions the documentation, and checks each plan against the code that actually exists.

Capture conversations with one click, let Grasppy extract decisions, entities, and artifacts, then use that context for plans, verification, documentation, and the next AI session.

Is Grasppy available now?

Yes — Grasppy is live. Create your free account and start today. Every new account gets a 14-day Pro trial — no credit card required.

Which AI tools does it support?

17 integrations. Browser tools via our Chrome extension: Claude, ChatGPT, Gemini, Grok, DeepSeek, Perplexity, Mistral, GitHub Copilot, TypingMind, Replit, Bolt, Lovable, and Voila.

IDE tools via markdown / JSONL import: Cursor, Windsurf, Claude Code, and Codex Desktop.

More integrations are on the roadmap. If your tool exports conversations as markdown, you can already import them today.

Do I need my own API key?

Yes — Grasppy uses a Bring Your Own Key (BYOK) model. You connect your own Anthropic, OpenAI, or OpenRouter key, and AI processing costs go directly to your provider at their published rates.

This keeps your subscription affordable and gives you full control over which models run your pipeline.

What does it cost?

Pro is $25/mo billed annually ($300/year) or $34/mo billed monthly. Every new account gets a 14-day Pro trial with no credit card required. After the trial, you stay on a free tier with 3 analyses per month — upgrade whenever you're ready. See the pricing page for the full comparison.

AI costs are paid separately through your own provider key (BYOK), typically a few dollars per month for active use.

What is Grasppy Studio, and is it really included?

Grasppy Studio is a content-creation suite built on top of Grasppy. It includes Voice Calibration across 5 dimensions, AI writing through your own local AI agent (zero API cost), a 6-stage SEO surgical-edit pipeline, keyword research via DataForSEO, and a built-in blog with a custom URL.

It's included with your Pro subscription. See the Grasppy Studio landing page for the full feature list.

How is Grasppy different from Notion, Obsidian, or ChatGPT Projects?

Notion / Obsidian are blank pages — you have to write and organize everything yourself. Grasppy does that work for you automatically from your AI conversations.

ChatGPT Projects / Claude Projects are locked to one platform and don't extract decisions, link artifacts, or build a searchable knowledge graph across tools. Grasppy works across all your AI tools and turns chat into structured, reusable knowledge.

Is my data secure? Does Grasppy train AI models on my conversations?

No. Your conversations are yours. Grasppy does not train models, sell data, or share content with third parties.

Data is encrypted in transit and at rest. AI processing runs through your own provider key — meaning your prompts go directly from Grasppy to Anthropic / OpenAI / OpenRouter under your account's terms, not ours.

Can I export my data if I leave?

Yes. Every conversation, document, and artifact can be exported as clean markdown at any time — no lock-in. Your knowledge belongs to you, in a portable format you can take anywhere.

Is there a free trial?

Yes. Every new account gets a 14-day Pro trial — full feature access, no credit card required.

I'm not a developer — can I still use Grasppy?

Absolutely. While builders are our core audience, Grasppy works for anyone running long, complex AI conversations: researchers, writers, consultants, students, marketing teams, product managers.

If you use Claude, ChatGPT, or Gemini regularly and want to find, reuse, and continue your work — Grasppy is for you.

Build software with AI. Exactly as planned.

Capture, plan, build, verify, remember — and start the next cycle knowing exactly where you left off.

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