Why Rebis How It Works Pricing Start Free Trial
Locally-Owned Brain Engine

Your AI tools forget everything. Rebis remembers.

A self-optimizing intelligence engine that runs on your hardware, compounds across every project, and cuts wasted AI token costs by eliminating redundant context. Works across every LLM. Your data never leaves your machine.

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Self-hosted / Works with any LLM / Your data stays local / Growing
91
/ 100
Brain Health
61
Sessions
27
Knowledge Domains
100%
Connected
~67K
Token Capacity
2.4%
Context overhead per session
132K
Tokens saved so far
9
LLM tools monitored

Your data. Your hardware. Every LLM.

Rebis is a LOBE—a Locally-Owned Brain Engine. Your intelligence runs on your machine, syncs across every AI tool you use, and never sends data to someone else's server by default. This isn't SaaS memory hosting. It's cognitive infrastructure you actually own.

Claude Code Cursor Copilot Windsurf Any MCP Client HTTP API Docker

Your data stays on your machine

Brain files live on your computer or environment, encrypted at rest. No cloud custody, no vendor servers.

Cross-LLM portability

One brain works across every tool. Switch LLMs without losing knowledge.

Self-hosted by default

Runs on your laptop, server, or container. No forced cloud dependency.

You hold the keys

Your brain data is encrypted with your license key. No vendor custody, no third-party access—the chain of custody stays with you.

Why Rebis

Not another memory tool

Commodity memory systems store and retrieve. Rebis is structured intelligence that activates, challenges, and compounds. Every session costs less than the last.

Structured intelligence

Not a list or vector database. Connected neurons encode how knowledge relates—when one insight is relevant, the full context fires together. Structure becomes intelligence. Your AI gets complete understanding, not isolated search results.

Connected intelligence · Not flat retrieval

Adapts to you

Rebis is a personalized learning model that adjusts based on real-world experience—your experience, not a one-size-fits-all dataset. It captures what works and what doesn't, weighting both equally. Every user's brain is unique because every user's workflow is unique.

Personalized · Not one-size-fits-all

Blind spot detection

Independent oversight watches for over-reliance on familiar patterns, stale knowledge, and coverage gaps. Your brain actively challenges its own recommendations before they reach you—structural defense against tunnel vision and confirmation bias.

Active self-skepticism

Compounding returns

Each session adds depth. Knowledge that proves useful gains weight. Knowledge that goes stale fades naturally. The result is a brain that gets measurably sharper with every session—compounding intelligence, not accumulating data.

Compounds intelligence, not data

More efficient than starting from zero every time

Every AI session without Rebis wastes tokens re-establishing context your tools already learned. A mature brain eliminates redundant prompting, prevents repeated mistakes, and compounds domain knowledge—turning token spend into lasting intelligence instead of disposable context.

30-85%
Simulated cost reduction vs retrieval-all
2.5-5x
Simulated response speedup
$0
Vendor infrastructure cost
Bounded
Token cost scales flat, not linear
See It Work

Watch your brain think

This is a real subgraph from a working Rebis brain. Hover neurons to explore. Click "Fire" to watch intelligence cascade through connected knowledge.

API Security Memory Safety Data Isolation Privacy Controls Defense Layers Test Strategy Error Handling Resource Limits Concurrency Performance API Design Throwaway Code Premature Optimization

Explore the brain

Hover over any neuron to see what it knows. Each neuron connects to related knowledge—when one fires, the rest of the network responds.

This is a subset of a working brain with hundreds of connected neurons.

Neuron
Caution signal
Connection
Under the Hood

Multiple systems, not a single trick

Rebis doesn't just retrieve. Distinct layers work together so your AI tools give better answers, avoid blind spots, and get smarter with use.

01
Recall
Instant activation
02
Challenge
Quality assurance
03
Explore
Cross-domain insight
04
Focus
Signal over noise
05
Grow
Continuous improvement

Instant Recall

Your current task instantly activates the most relevant knowledge. Related neurons fire together—you get a complete picture, not isolated facts. The entire brain responds to your context in milliseconds.

Task: "prevent data leakage in GPU pipeline"

Result: API Security → Privacy Controls → Memory Safety → Data Isolation

These fire as a coherent cluster, not individual lookups.

Self-Challenge

An independent layer watches for what the recall system might miss: coverage gaps, over-reliance on familiar patterns, and stale knowledge. The brain checks its own recommendations before they reach you—catching blind spots that no retrieval system would flag.

"This knowledge area has appeared in 4 consecutive sessions. Verifying whether the pattern is genuinely relevant or habitual."

Cross-Pollination

Deliberately surfaces knowledge from unrelated domains that might apply by analogy. Generates fresh questions that challenge conventional thinking—connections you wouldn't have made yourself, drawn from the full breadth of your accumulated experience.

Working on API design? Rebis might surface Resource Limits via an abstract principle: "Constrain resources at boundaries to prevent cascading failures."

Signal Focus

When many neurons activate with similar relevance, competitive ranking ensures only the highest-quality recommendations reach you. No information overload—just focused, actionable intelligence. The rest is available on demand.

Multiple neurons fire → Ranked by relevance and quality → Top recommendations presented, rest available on demand.

Continuous Growth

Every session captures what worked, what failed, and what was surprising. These traces feed back into the brain—priorities shift based on real outcomes, not just retrieval frequency. Each session makes the next one better.

Session ends → results captured → brain adjusts → next session is smarter.
Getting Started

Three steps to a brain that compounds

No complex setup. No configuration hell. Install, use your AI tools normally, and watch the knowledge accumulate.

1

Install

One command to install. One command to connect. Works with any MCP-compatible AI tool, HTTP client, or Docker—setup takes minutes, not hours.

# That's it. Seriously.
install → init → connect to your tools

# Full setup guide included after signup
Claude Code MCP Bridge HTTP API Docker
2

Your brain grows

Every session captures reasoning traces. Knowledge compounds across projects—switching tools doesn't lose the brain.

# After each session
Session 1: +3 neurons (auth patterns)
Session 5: +8 neurons, connections form
Session 20: 47 neurons, graduated trust
Session 100: domain expert
3

AI gets smarter

Context compounds. Your AI stops asking the same questions and starts building on what it already knows.

Without Rebis
Session 1: "What framework?"
Session 2: "What framework?"
Session 3: "What framework?"
With Rebis
Session 1: Learns framework
Session 2: Applies + learns deploy
Session 3: Suggests optimizations
Beyond Solo Use

Brain-powered bot orchestration

Rebis doesn't just work for individual developers. It wires intelligence across entire fleets of autonomous agents—each with a sovereign brain, federated by domain expertise. Validated across 243,000 simulation trials.

Every bot gets its own brain. The deepest expert leads.

Each agent in your fleet runs its own sovereign Rebis brain—no shared models, no merged data. When a task arrives, domain-depth scoring evaluates which brain has the deepest relevant knowledge and dynamically promotes that agent to lead. Different agents can run different LLMs—Claude for architecture, GPT for analysis, Codex for implementation—and the election routes work to the best brain-model combination. Leadership is earned per-task, not assigned permanently.

In practice: Your Claude agent has been doing backend work for months while a GPT agent handles data analysis. A new task arrives: “Optimize the analytics queries.” Rebis scores both brains—one has deep SQL knowledge, the other knows the dashboard domain. The best match leads. No configuration, no guesswork—the knowledge graph makes the call.

  • Domain-depth election: composite scoring achieves 92.4% leader accuracy (ω²=0.352, large effect)
  • Key finding: partial coordination is worse than none—commit fully or skip it (ω²=0.072)
  • Scale-dependent configuration: election×fleet interaction ω²=0.163 (largest effect in study)
  • Quality and resilience emerge together: r=0.485 correlation between task quality and failure recovery
  • Multi-model routing: election factors in domain knowledge and LLM capability match—not just model size

Architecture: Zero-trust identity between federation members (mTLS + SPIFFE). Sovereign brains—no shared state, no merged data.

Empirically validated: 243K trials, publication-grade statistics
243K
simulation trials
486
configurations tested
92.4%
election accuracy
147
hypothesis tests

Built on data science, not defaults

6 independent variables × 7 outcome measures. Full factorial design across 486 unique configurations, 500 replications each. Non-parametric statistical methods with Benjamini-Hochberg FDR correction at q=0.001, effect sizes with confidence intervals, and achieved power of 1.0 across all tests. Every orchestration parameter in Rebis is empirically optimized—not guessed, not copied from a framework default.

Read the 243K-trial study abstract →

MCP Bridge — any interface, your data

The MCP Bridge connects Rebis to any chat interface over HTTP—not just developer tools. Claude.ai, ChatGPT, your own apps. Even if LLMs build their own memory, your data lives on their servers. With Rebis, it stays on your machine, encrypted at rest. That's the difference between renting cognition and owning it.

Claude.ai ChatGPT Custom Chat Apps SaaS Copilots MCP Bridge
LLM-Agnostic Intelligence

One brain. Every LLM. At the same time.

Rebis doesn't belong to any LLM. It works across all of them—simultaneously.

Different LLMs are good at different things. Your brain fills the gaps.

Claude is strong at architecture. GPT-4 excels at data analysis. Gemini handles long documents. When you use Rebis across all of them, each LLM's strengths get captured into the same knowledge graph. The brain compounds insights across models—not just across sessions. Our simulation study confirms this: domain-aware election that factors in LLM capability match achieves 92.4% accuracy, while model-agnostic approaches collapse below 33%.

And it works concurrently. Multiple LLMs can query and write to the same brain at the same time. No conflicts. No locks. Each connection gets the full knowledge graph, and each session's traces feed back into the same compounding intelligence.

  • Same brain activates for Claude, GPT, Gemini, Perplexity—any LLM
  • Concurrent connections: multiple LLMs running work in parallel
  • Each LLM's strengths compound into one knowledge graph
  • Switch tools mid-project without losing a single neuron
  • Your brain, your custody. Switch LLMs without losing intelligence.
YOUR BRAIN Claude GPT-4 Gemini Perplexity Your App CONCURRENT MULTI-LLM ACCESS
Pricing

Priced for real value, not volume

A mature Rebis brain saves multiples of its cost in reduced token spend and eliminated rework. Two dimensions: human seats and agent seats. Self-hosted. No cloud bill.

14-Day Free Trial
Developer
$69 / mo
Single seat. Full brain. Self-hosted. Try free for 14 days—cancel anytime, no charge.
  • Full LOBE runtime
  • All cognitive systems
  • MCP + HTTP integration
  • Priority updates + support
  • Neuron Pack marketplace
  • Advanced trace analytics
Start Free Trial

14 days free. Then $69/mo. Cancel during trial—no charge. Cancel after—access runs through your paid period, no partial refunds.

Team
$149 / seat / mo
Multi-seat teams. Task delegation routes work to the brain with the right knowledge.
  • Everything in Developer
  • Task delegation across team brains
  • Signed envelope routing (mTLS)
  • Priority support + SLA
Start Subscription
Enterprise
Custom
Custom deployment, architecture workshops, dedicated support.
  • Everything in Team
  • Dedicated architecture reviews
  • Custom Neuron Packs
  • SSO + compliance tooling
Talk to Us

Agent & Bot Seats

Autonomous agents use Rebis differently—higher volume, always-on, more activation calls. Per-agent pricing or fleet packs for multi-bot orchestration.

Per Agent
$39 / agent / mo

Each autonomous agent gets a dedicated brain seat with full activation, trace capture, and self-optimization. Works with any orchestration framework.

Start Subscription
Fleet Packs
Pack Price Per Agent Savings
5 agents $159 / mo $31.80/agent 18% off Buy →
25 agents $599 / mo $23.96/agent 39% off Buy →
100 agents $1,900 / mo $19.00/agent 51% off Buy →
250+ agents Custom Volume pricing Contact us

Connect any LLM via MCP Bridge

The MCP Bridge serves your brain over HTTP—any MCP-compatible client connects instantly. Claude.ai, ChatGPT, Perplexity, or your own apps. One command. Data stays on your machine.

How It Works
# After signup:
Install → Initialize → Bridge starts

# Your brain is now available to
any MCP-compatible client over SSE
  • MCP over SSE (standard protocol)
  • Optional bearer token auth
  • Localhost-only by default
  • Full setup guide included with license
Compatible Platforms
  • Claude Code / Desktop — native MCP (stdio)
  • Claude.ai — via MCP Bridge
  • ChatGPT — via MCP Bridge
  • Perplexity — via MCP Bridge
  • Custom apps — HTTP API or Bridge
  • SaaS copilots — embed via Bridge
  • Bot fleets — per-agent Bridge instances

The moat: Even if LLMs build their own memory, that data lives on their servers. With the MCP Bridge, your knowledge stays on your machine. Ownership, not rental.

Managed cloud hosting is on the roadmap. Interested? Let us know.

Zero vendor custody by design

Unlike SaaS memory products, Rebis never holds your data. Brain files live on your machine, encrypted at rest with a key derived from your license. We designed the chain of custody so that no vendor—including us—can access your knowledge graph. That's the fundamental difference between a LOBE and a hosted service: the provider never touches the data.

Start building a brain that compounds

Your AI tools will never start from zero again.

Start Free Trial Contact Us