Claude Projects vs StackLatte
Claude Projects solve a real problem: keeping context across Claude conversations. But they solve it only inside Anthropic. StackLatte solves it everywhere.
What Claude Projects Does Well
Claude Projects is a genuinely useful feature. It gives you a persistent space within Claude.ai where you can group related conversations, set custom instructions that apply to every message, and upload reference files that Claude can draw on throughout the project.
For teams and individuals working exclusively within Claude, this improves the experience meaningfully. You do not have to paste in the same system prompt every time. Uploaded documents stay available. Conversations are organised by project rather than scattered across a chronological feed.
Claude's models are excellent — strong reasoning, long context windows, nuanced instruction-following. If you have committed to the Anthropic ecosystem, Claude Projects is the right way to organise your work within it.
The Lock-In Problem
The limitation is in the name: Claude Projects. Every piece of context you build lives inside Anthropic's platform. The moment you want to use a different model — OpenAI for a task where GPT excels, a local model for privacy-sensitive work, or simply a cheaper model for high-volume drafting — you lose your context.
This is not a criticism of Anthropic. It is the nature of platform-native features. They optimise for the platform, not for portability.
The practical cost is higher than it first appears. Every time the AI landscape shifts — a new model releases, prices change, a provider has an outage — your workflow is disrupted because your context is trapped. You have two bad options: stay locked in, or rebuild from scratch.
How StackLatte Extends the Same Idea
StackLatte takes the core insight of Claude Projects — that persistent, structured context improves AI collaboration — and makes it provider-independent.
Your project structure (tracks, phases, steps), your knowledge base, and your execution history are stored in your browser. Before each AI conversation, StackLatte assembles the relevant context and injects it into whichever model you are using. Claude, ChatGPT, a local Llama model via Ollama — all receive the same structured context.
StackLatte also adds layers that Claude Projects does not have: explicit step-level execution tracking (todo / active / done / dropped), AI-proposed changes you review before applying, a full project knowledge base with context modes, and checkpoint rollback.
And it is entirely free, requires no account, and stores nothing on any server.
Side-by-Side Comparison
| Claude Projects | StackLatte | |
|---|---|---|
| Provider lock-in | Anthropic only | Any provider |
| Storage | Anthropic servers | Your browser |
| Account required | Yes (Claude Pro) | No |
| Project structure | Flat + file uploads | Tracks → phases → steps |
| Execution tracking | No | Yes — status, progress, history |
| Knowledge base | File uploads per project | Structured entries with context modes |
| Multi-model use | No | Yes — switch freely |
| Export | No | JSON, Markdown, CSV, Obsidian |
Using Claude Through StackLatte
StackLatte connects to Anthropic's API directly. You can use Claude Sonnet, Claude Opus, or Claude Haiku inside StackLatte with your own API key. The AI panel in StackLatte sends your project context to Claude efficiently, using Anthropic's prompt caching to reduce token costs on repeated context.
You get the same Claude model quality — just with a more structured, portable, and private context layer sitting in front of it.
See also: ChatGPT Memory vs StackLatte and our guide to maintaining context across AI models.
Frequently Asked Questions
Context that travels with you.
Claude, ChatGPT, local models — one context layer for all of them.
Open StackLatte →