Memory for your AI coding tools.
One config line. Your AI now knows your entire codebase, your architecture decisions, and your team's patterns.
The Problem
Your AI doesn't know what you know.
Every session starts from zero. Your architecture decisions, your patterns, your tribal knowledge—invisible.
Repeating yourself. Forever.
Every new conversation requires re-explaining your stack, your patterns, your constraints. Time wasted, every single day.
AI suggestions that miss the mark
Your AI suggests React when you use Vue. Suggests REST when you standardized on GraphQL. Brilliant tool, blind context.
Tribal knowledge stays tribal
Critical decisions live in Slack threads and people's heads. New team members make the same mistakes. Every time.
The Solution
One config line.
Infinite context.
Multilith uses the Model Context Protocol to inject your organizational knowledge into every AI interaction. Invisibly.
{
"mcpServers": {
"multilith": {
"url": "https://mcp.multilith.ai/your-org"
}
}
}
Faster onboarding for AI tools
Context re-explaining needed
Organizational memory
See It In Action
Three moments that change everything.
The proof isn't in the feature list. It's in the quality of your AI's first response.
"It already knows."
"Add payment error handling"
- You use Stripe with idempotent keys
- Your error pattern: retry 3x, then dead-letter
- Why you chose this approach (decision from March)
- Which files to look at first
No explaining. No context-setting. It just knows.
"It caught that?"
"Add a direct database call here"
- This bypasses your API layer pattern
- Decision from Oct: "All DB access through services"
- Want me to use the UserService instead?
Your patterns aren't suggestions. They're guardrails.
"It remembers what Sarah did?"
"Why does this function work this way?"
- Sarah refactored this in Sprint 12
- Original approach caused race conditions
- The fix is documented in ADR-019
- Three other files use this same pattern
Institutional memory that doesn't walk out the door.
"It's like the codebase has a brain that never forgets."
What You Get
Knowledge that compounds.
Every decision, every pattern, every lesson learned—available to your entire team, forever.
Decisions That Stick
When your team decides "we use services for DB access," that decision becomes a guardrail. Not a wiki page nobody reads.
Patterns That Propagate
Define a pattern once. Every AI suggestion follows it. New team members write code that looks like it belongs.
Context That Persists
Why was this built this way? The AI knows. Who worked on this before? The AI remembers. No more archaeology.
Docs That Write Themselves
Documentation that updates as you code. Always accurate. Never a chore.
Works With Your Tools
Cursor, Claude Code, Windsurf, Copilot—one config line, and they all share the same organizational brain.
Your Data, Your Control
Cloud or self-hosted. SOC 2 compliant. Your code context never trains external models.
Pricing
Simple, transparent pricing
Start free. Scale as you grow. Save 20% with annual billing.
Free
$0 forever
For developers getting started
- 1 project, 3 repos
- 250 context lookups / month
- Core MCP integration
- Community support
Pro
$29 / user / mo
For power users in flow state
- 10 repositories
- 1,000 context lookups / month
- Decision log & living docs
- Time Machine (90 days)
- Priority support
Team
$39 / user / mo
For teams building together
- Unlimited repositories
- Pooled context lookups
- Shared org memory
- Jira, Slack, Linear
- Team analytics
Enterprise
$59+ / user / mo
For security-conscious orgs
- Self-hosted / VPC deploy
- SSO & SAML
- Audit logs & compliance
- Dedicated SLA
- Custom integrations
Ready to give your AI a memory?
Join the waitlist for early access. Be among the first to experience AI coding with context.