StackLatte is the permanent memory layer between you and every AI you use. Your decisions, knowledge, and goals live in one place local, owned by you, readable by any model. Switch between ChatGPT, Claude, Ollama, or whatever comes next without losing a thing.
AI reasoning is already excellent. The problem is that your context your history, decisions, and knowledge lives inside individual chats and dies when you close them.
Built context in ChatGPT for weeks. Switched to Claude. Started from zero.
The decision you made three sessions ago is buried somewhere in the scroll.
New session, new model re-explain everything. Every single time.
Switch models freely. Your goals, decisions, and history follow you.
Smart memory sends only what's relevant to each question. Zero re-explaining.
Context survives sessions, models, and time. It lives with you, not inside a chat.
Context that persists is not a nice-to-have. It is the missing infrastructure layer for every AI you use.
Persistent context
Organize any structured work — a software project, a book, a research thread, a learning path — and give your AI a complete picture of what's settled, in progress, and abandoned. Import from an existing chat transcript, build it yourself, or let AI generate it from a description. Carry that context to any model without starting over.
Idea space
The project overview is an AI brainstorming space, not a list. Describe a rough idea, and the AI reasons against your existing projects — spotting overlaps, suggesting synergies, sharpening your thinking. When the idea is ready, it proposes a full project structure in one click.
Projects
ContextDB MVP
Marketing site
Internal tools
Idea space
Spar with AI before you build
It complements, not overlaps.
Your existing projects cover infra and frontend. Invoice automation could be a new product track. Want me to sketch the structure?
Proposed project
Invoice Automation
Parse, validate, and route invoices · 2 tracks · 6 steps
Smart AI memory
StackLatte uses keyword relevance to select only the context blocks that matter for each question — powered by the open-source @stacklatte/context-manager package. The focused step is always included; the AI can request deeper context when it needs it. Ask about your current step, request a plan, or have it propose changes. Every answer starts informed.
Based on your schema step being done...
Start with JWT middleware you defined the token format in your knowledge base on March 3rd. Use HS256 with a 15-min expiry per the decision you saved.
Knowledge base
Store your API choices, constraints, research, and references once outside any chat thread. Mark entries as 'always in context' and they're injected into every AI message automatically, regardless of which model you're using. Your knowledge, portable across providers.
Use PostgreSQL, partition by tenant_id, RLS enabled…
HS256, 15min access / 7d refresh, payload: userId, role…
Linear, Notion, Jira comparison full feature matrix…
AWS ECS Fargate, auto-scale on CPU > 70%…
Context that survives
Open any piece of work and find your instructions, done criteria, decisions, and history exactly where you left them not buried in a chat thread. Continue weeks later like you never left. Context that was worth building is worth keeping.
Design the core table structure for multi-tenant PostgreSQL deployment.
Done when
Migration file exists, passes CI, reviewed by CTO
Context
Use RLS with tenant_id partitioning. Decided against sharding in the knowledge base.
Substeps
Checkpoints and rollback
Every AI change creates a checkpoint automatically. Restore the full project to any previous state or revert a single operation in one click. Experiment freely every decision is reversible.
AI added 3 substeps to "Auth layer"
just now
Marked "Database schema" as done
2h ago
AI refined track goal for Backend API
4h ago
Imported project from AI conversation
yesterday
Your context lives in StackLatte. Which AI reads it is up to you.
Connect your API key and chat directly in StackLatte. Smart context is injected automatically — only what's relevant to your question — switch providers anytime without losing a thing.
Key stored in your browser only. Never sent to us.
Point StackLatte at a local model. No API costs, nothing leaves your machine. Llama, Mistral, Qwen, Phi any OpenAI-compatible endpoint works. Smart context, full ownership.
No API key needed. Fully offline.
Keep your memory in StackLatte and copy your project context with one click then paste it into ChatGPT, Claude.ai, Gemini, or any tool you already use.
Provider independence, always.
The bigger picture
StackLatte is the foundation of a Personal AI Operating System where memory, context, and execution persist across every model you will ever use. The long-term vision is a world where switching AI providers feels like changing a browser: everything follows you, nothing is lost.
Read the full vision →Models are interchangeable. Memory is not.
Your context belongs to you.
Provider independence is a right, not a feature.
Local-first is the architecture.
Smart retrieval beats bigger context windows.
Export to any tool at any time. No lock-in, ever.
StackLatte JSON
Re-importable backup
Obsidian
YAML frontmatter
Notion
Clean headings
Markdown
Plain checklist
CSV
Spreadsheet analysis
Understand the problems StackLatte solves.
Free. No account. Local-first. Your memory lives in your browser not on our servers, not locked inside a chat.
No sign-up. No subscription. No data on our servers.