Universal AI Context Protocol · Open Standard

The orchestration layer between you and every AI.

One memory across every model. Cross-vendor context engineering, token-level economics, policy enforcement, and shared workspaces — in a zero-knowledge layer your vendor can't build and your enterprise can actually trust.

20+ AI tools Zero-knowledge Open protocol Lowers your AI bill
The stack
you · your team · your family
04Collaboration · shared contextFL
03Governance · policy · DLPFL
02Context engineering · memoryFL
01Routing · token economicsFL
Claude · GPT · Gemini · Grok · Ollama · 15+API
ChatGPTClaudeGeminiCursorWindsurfCopilotDeepSeekGrokPerplexityMistralOllamaLM StudioHuggingChatGroqClaude CodeAider ChatGPTClaudeGeminiCursorWindsurfCopilotDeepSeekGrokPerplexityMistralOllamaLM StudioHuggingChatGroqClaude CodeAider

Your AI stack is six silos pretending to be one assistant.

01

Context lives in vendor silos

Every AI forgets the moment you switch models. You re-explain your codebase, your company, your preferences — dozens of times a week.

02

Secrets leak into prompts

API keys, tokens, customer data — pasted into chat boxes and stored forever in vendor databases you don't control.

03

Bills scale with waste

You pay frontier-model prices for trivial answers, with no compression, no smart routing, no visibility into what's burning tokens.

Four layers that should already exist — built as one.

01 / ORCHESTRATION

Token economics

Smart routing picks the cheapest model that can actually answer. Context compression shrinks every injection. Instant fallback if a vendor drops. Routing happens after redaction — so secrets never decide where traffic goes.

OUTCOME · 40–70% lower AI spend, same quality, zero workflow change
02 / MEMORY

Context engineering

One cross-vendor history. Semantic retrieval picks the right context for every prompt, in every tool. Import your ChatGPT and Claude exports on day one — years of conversation become searchable, redacted, and yours.

OUTCOME · Stop re-explaining · every AI starts where the last one stopped
03 / GOVERNANCE

Policy enforcement

Mandatory secret redaction. Admin-defined blacklists. Semantic DLP classifier. Age-appropriate guardrails for families. Compliance-ready audit log — CISOs get a budget line, not a checkbox.

OUTCOME · AI in regulated workflows · not just innovation-lab pilots
04 / COLLABORATION

Shared context

Teams share workspaces, prompts, and redaction policy. Families pool guardrails and parent-dashboards. Organizations run department isolation with data residency. The social layer every AI tool forgot to build.

OUTCOME · Network effects · memory that compounds as your team grows

One command to start full, not empty.

~/work · fusionlayer import
$ fl import ~/Downloads/chatgpt-export/
# parsing archive ...
Parsed 1,247 conversations (38,902 turns) from chatgpt

Redaction summary
    23 × OpenAI API key
     4 × Private key block
   111 × Contextual secret
  (originals never stored or transmitted; redacted text only)

Encrypted & stored in ~/.fusionlayer/imported/
Embedded for semantic retrieval (local · Ollama)
Ready across Claude · ChatGPT · Gemini · Cursor

$ fl route "explain the auth bug from last tuesday"
# retrieving relevant context (0.11s)
# 3 matches · compressed to 2,840 tokens
# router → claude-haiku-4.5 (est. $0.002, confidence 0.94)
Answered · saved $0.38 vs frontier model baseline

Why the vendors can't build this themselves.

  • 01

    Cross-vendor neutrality

    OpenAI will never ship "use Claude when cheaper." Anthropic will never ship "route to Gemini for long context." Neutrality is a structural moat, not a feature.

  • 02

    Zero-knowledge architecture

    AES-256-GCM on device. Argon2id keys that never transmit. We cannot read your data — so regulated industries can actually deploy.

  • 03

    Compounding memory graph

    Every conversation imported, every redaction pattern tuned, every team policy defined — deepens a context graph no competitor can replicate without your data.

  • 04

    Protocol-level distribution

    UACP is an open standard — third-party tools, IDEs, and agents plug in without asking us. Protocols beat products at scale.

The Universal AI Context Protocol

UACP is an open specification for portable, encrypted, vendor-neutral AI context. Any tool can read it. Any model can consume it. Export anytime — your data is portable forever, not locked in our format.

The same thing HTTP did for documents. The same thing MCP did for tool-calling. UACP does for context.

// uacp-v1 · conversation object
{
  "uacp": "1.0",
  "vendor": "claude",
  "encryption": "aes-256-gcm",
  "turns": [...],
  "redactions": ["api_key", "pii"],
  "embeddings": "local/nomic-v1"
}

Built for three audiences, unified by one layer.

FOR DEVELOPERS

Your memory. Your keys. Your cost.

CLI, editor extensions, local-first architecture. The tool you wish your AI IDE shipped with.

  • Claude Code · Cursor · Aider
  • Local Ollama & LM Studio
  • Bring-your-own S3 / R2 / B2
  • Open format, open daemon
FOR TEAMS

Shared context without shared risk.

Org-wide prompts, policy enforcement, audit logs. Everything engineering needs, everything compliance requires.

  • SSO · SCIM · on-prem
  • Admin-enforced DLP policy
  • Department isolation
  • Audit log · access controls
FOR FAMILIES

AI safe enough for your kids.

Age-appropriate guardrails, topic filters, parent alerts. The only AI tool that treats "family" as a real product — not an afterthought.

  • 5 members · flat rate
  • Content & topic controls
  • Real-time parent alerts
  • Per-child AI profiles

Efficiency you can measure, not just claim.

40–70%
Typical AI-spend reduction via routing + compression
20+
Supported AI tools and IDEs
0
Bytes of your unencrypted data on our servers
Cross-vendor history on Pro · forever

Every tier makes your AI bill smaller, not bigger.

Free
FOR INDIVIDUALS
$0
forever · no card
  • All AI tools, unlimited chats
  • Context compression + retrieval
  • Baseline DLP / redaction
  • 2 devices · 90-day history
  • 1 GB · 50 messages/mo
Start free
Family
UP TO 5 MEMBERS
$15
/ month · flat
  • Pro × 5 family members
  • Age-appropriate guardrails
  • Topic & content controls
  • Parent alerts (Telegram/email)
  • 100 GB shared storage
Get family
Team
Q3 2026 · WAITLIST
$12
/ seat / month
  • Shared context & prompts
  • Admin-enforced DLP policy
  • Audit log · analytics
  • 50 GB/seat or shared bucket
  • Enterprise (SSO/on-prem) avail.
Join waitlist

Stop losing context. Start owning it.

Free forever for individuals. No credit card. No data lock-in. The layer your AI stack was missing.

Get started free → Read the docs