Capture everywhere
Desktop app, Chrome extensions (deployable via managed Chrome Workspaces), and IDE integrations capture your conversations without manual tagging.
Shared Context for Every Model
Stop re-explaining yourself to AI.
You tell Gemini something, and Claude has no idea. BaseLayer fixes this by capturing your conversations across our desktop app, Chrome extensions, and IDE integrations. We then "distill" them into a knowledge graph of semantic and salient connections, giving you — and your team — a shared memory source across every AI tool you use.
Our Approach
Your context window is precious real estate.
Most AI memory tools use Retrieval-Augmented Generation (RAG) - they search your old conversations, grab chunks of raw text that seem relevant, and paste them into your prompt. The problem? You get a wall of noise instead of an answer.
BaseLayer takes a different approach. We capture your conversations and distill them into a rich knowledge graph. We understand the semantic and salient connections before you ever ask a question.
Traditional RAG
Raw chunks pasted into context
"Why did we pick Postgres over DynamoDB?"
Chunk 1 of 8…yeah the migration script is almost done, I think we need to also update the CI pipeline before Friday. Oh and remind me to cancel that Datadog trial…
Chunk 2 of 8…so DynamoDB was on the table but the single-table design felt too rigid for our access patterns. Also Marcus said his team hit…
Chunk 3 of 8…lunch at that Thai place was great. Anyway back to infra - I think the read replicas give us more flexibility long-term…
+ 5 more chunks · ~10,000 tokens
BaseLayer
Distilled knowledge, ready to use
"Why did we pick Postgres over DynamoDB?"
Database ArchitectureDecision · February 2026
- Chose PostgreSQL over DynamoDB for primary datastore
- DynamoDB's single-table design too rigid for evolving access patterns
- Read replicas provide flexibility for analytics workloads
- Marcus's team reported DynamoDB cost spikes at scale
~120 tokens
5×fewer tokens
fasterresponses
betteraccuracy
Finding similar text isn't the same as finding relevant knowledge. BaseLayer's Dream engine extracts entities, maps relationships, and builds compact dossiers - so your AI gets the signal, not the haystack.
Why BaseLayer
The context layer your AI stack is missing.
Dream Distillation
We don't just store text. Our patent-pending Dream engine distills your conversations into a knowledge graph — like a chief of staff who pulls out the decisions that matter and ignores the noise.
Shared Team Memory
Invite your team to a shared memory. Decisions, context, and institutional knowledge flow between members automatically — no more re-explaining what was already discussed.
Inject context everywhere
Retrieve shared knowledge anywhere you work via our MCP service, or bring your own API key to our /chat app to talk to leading models.
Memory Intelligence
A memory that thinks — not just stores.
Most tools save what you say. BaseLayer understands what it means, tracks how important it is, and gets smarter the longer you use it.
Entity Consolidation
Merges duplicate mentions — “React”, “ReactJS”, “React.js” — into unified entities so your knowledge graph stays clean and deduplicated.
Salience Ranking
Not everything you say is equally important. The Dream Engine ranks facts by relevance and recency, surfacing what matters most — not just what’s newest.
Contradiction Detection
When new information conflicts with existing knowledge, BaseLayer flags it. Changed your mind about a tech stack? Your memory reflects the latest decision, not the stale one.
Temporal Awareness
Preferences evolve. Decisions get revisited. The Dream Engine understands time — so your memory reflects who you are now, not who you were six months ago.
95%
Knowledge Compression
Early beta results: 1,000 conversations distilled into 2,500 structured knowledge entities — extracting the signal from the noise.
How It Works
An invisible layer between your workflow and every model.
Capture
Everywhere
From our desktop app, Chrome extensions, to IDE integrations, we capture conversations wherever they live.
Distill
Dream Engine
Raw conversations are distilled into a knowledge graph, building semantic and salient connections.
Recall
Access Anywhere
Retrieve context in real-time through our MCP service, or use our BYOK /chat app to talk to your favorite models directly.
Integrations
Works with your favorite tools.
Your memory layer connects to every browser, IDE, and AI assistant that speaks MCP.
AI tools
Claude Code
ChatGPT
Codex
Gemini
Gemini CLI
Cursor
WindsurfAntigravity
GitHub Copilot
Aider
OpenClaw
OpenRouter
Open WebUIClaude CodeChatGPTCodexGeminiGemini CLICursorWindsurfAntigravityGitHub CopilotAiderOpenClawOpenRouterOpen WebUIClaude CodeChatGPTCodexGeminiGemini CLICursorWindsurfAntigravityGitHub CopilotAiderOpenClawOpenRouterOpen WebUIBrowsers
Chrome
Edge
Arc
Brave
Opera
VivaldiChromeEdgeArcBraveOperaVivaldiChromeEdgeArcBraveOperaVivaldiChromeEdgeArcBraveOperaVivaldiMulti-Device
Your memory, every machine.
One centralized cloud memory — personal or shared with your team. Access from anywhere. It follows you across work laptop, home desktop, or any machine you choose — with the same MCP interface everywhere.
Personal & Team Memory
Your personal memory is yours. Team memory lets you share context with collaborators — everyone's AI tools stay in sync.
Ubiquitous Access
Log in from any machine. The Chrome extension securely captures conversations wherever you work.
Real-Time Cloud Sync
Your conversations sync instantly. Switch devices and pick up exactly where you left off.
Same Interface Everywhere
MCP-compatible tools access the same memory from any device. One install per machine, same knowledge everywhere.
Portability meets accessibility. Your memory isn't locked to one machine. Powered by a secure cloud architecture that ensures your context is always ready.
Use Cases
What becomes possible with persistent AI memory.
Designed for Engineering Teams
Your Cursor session knows the auth migration decision your teammate made in Claude last week. Shared team memory means no one re-explains architecture, auth assumptions, or prior decisions — every tool pulls distilled context and the whole team ships faster.
Designed for Product + Content Work
Start a strategy doc in ChatGPT, refine the positioning in Gemini, draft the copy in Claude. Your working context follows you across every session instead of starting from zero.
Designed for Side Projects
Working on something with friends? Share a memory. Everyone's AI tools know the project context — the tech stack you chose, the APIs you're using, the bugs you've hit — without anyone copy-pasting catch-up messages.
Designed for Multi-Tool Workflows
Switch between Claude, ChatGPT, Gemini, and Cursor all day. The decision you discussed in one model is already available in the next.
Get Started
Bring long-term memory to your AI stack.
Start free with unlimited ingestion. Upgrade to Pro for realtime processing, or Teams to share memory with collaborators.
All features unlocked during beta · macOS · Secure Managed Cloud