Your AI Gets Better
Every Single Day.

Teach your agent once. It compounds that knowledge forever — and shares it across every agent in your network. The model is the commodity. Its mind is the product.

Never Forgets
Learns From You
Shares Across Agents
Runs On Anything

Every AI tool starts from zero.
Every single session.

Claude Code, Codex, Gemini CLI, Cursor — they all have the same fundamental flaw. No matter how good the model gets, every conversation starts fresh. Your AI can never get better at your specific thing. It hits its ceiling on day one.

THE AMNESIA PROBLEM

No persistent memory. No understanding of past decisions. Every session is groundhog day. Dozens of projects exist just to bolt memory onto Claude Code.

THE ISLAND PROBLEM

Every instance is isolated. Knowledge dies at session end. What one agent learns is forever lost to every other agent. No network effect. No compounding.

THE CEILING PROBLEM

Good defaults, but static forever. A CLAUDE.md file is a suggestion box, not institutional memory. The agent can never get better at what you specifically need.

THE OPTAKT DIFFERENCE

Teach once. Compound forever.
Share across all your agents.

Optakt agents learn. You teach your agent how you think, what you value, how you work. That knowledge lives in structured memory blocks — not flat files, not training data, but living documents that evolve with every interaction. The agent carries that knowledge forward into every future task, compounding over weeks and months.

But the real unlock is that knowledge is transferable. When one agent learns from an expert — a lawyer teaching legal communication, a health specialist teaching supplement protocols, a developer teaching architecture patterns — that knowledge flows to every other agent in your network. Not as a config file copy, but as structured understanding that each agent's cognitive system can integrate, build on, and improve.

“WHAT ARE YOU WORSE AT?”

Nothing — permanently. Day one, a competitor with baked-in defaults might outperform at a specific task. Day two, after you've taught the agent, the gap closes. Day three, it's gone. Day thirty, the competitor is still at day one. The only trade-off is upfront teaching time. But once taught, the knowledge compounds and the agent never forgets.

KNOWLEDGE

Three layers. One coherent picture.

Living memory holds current truth. The archive preserves how things got there. The knowledge graph connects everything and expands every search.

Memory

What's true now

Living documents that evolve with every task

Archive

How things got there

Every decision, correction, and lesson — searchable forever

Knowledge Graph

How it all connects

Entities, relationships, and concepts that expand every search

ARCHITECTURE

State separated from execution.

The Core holds everything your agent knows — memory, decisions, knowledge graph. Engines are stateless workers that execute and disappear. Channels connect your world. If anything crashes, the mind is untouched. Scale engines up, swap channels out — the intelligence persists.

MessengerEmailCalendarTasksCOREThe mind that persistsMemory · Knowledge · DecisionsEngine 1Engine 2Engine N
LANDSCAPE

Three categories. One architectural gap.

Coding agents start from zero every session. Personal agents bolt on memory after the fact. Managed platforms hold your data on their servers. None of them compound knowledge, enforce governance by code, or let agents teach each other.

Coding Agents
Claude Code
Personal Agents
OpenClaw (357K★)
Managed Agents
Manus AI
Optakt
MemoryCLAUDE.md + 200-line auto-memoryFile-based with vector + keyword searchEncoded memory (single-user)Structured blocks + archive + knowledge graph
PersistencePer-sessionFile-persistent, single-deviceCloud-persistent, vendor-heldMonths of compounding, self-hosted
GovernanceNone (“context, not enforced”)~80 security checks, sandboxingVendor-managed policiesConstitution + programmatic gating
ExecutionFree-formOpt-in pipeline skillsWorkflow automationPhase-gated with verified transitions
SecurityLLM-based tool safetyBehavioral sandboxingVendor-managed sandboxCredential injection — never in LLM memory
ProviderAnthropic only12+ providers with fallbackVendor model onlyProvider-agnostic — any model
Idle MaintenanceNoneOpt-in dreaming (thresholded)NoneComposable phases with programmatic constraints
InterfaceCLI / Desktop15+ channelsWeb dashboardMessaging-first + dashboard, extensible
Knowledge SharingNoneSkill marketplace (code only)NoneCross-agent federation with provenance
CAPABILITIES

The mechanisms underneath.

🔄

8-Phase Pipeline

Understand before acting. Plan before executing. Verify before completing. Every phase transition is verified against external state — not self-assessed. The agent earns confidence through programmatic proof, not assumption.

📡

Signal Processing

Email, webhooks, data feeds — processed into structured knowledge while you sleep. Your agent learns from your world without being asked.

⚖️

Constitutional Governance

Not guardrails — values. A transparent, editable constitution guides every decision. Your agent knows when to act, when to draft, and when to ask. Raised, not configured.

🛡️

Programmatic Gating

Every tool call passes through a deterministic chain — scope, rate limits, approvals, validation. Pure code, not LLM reasoning. Can't be talked around.

🔌

Model Agnostic

One canonical conversation, rendered into any provider's format on demand. Intelligent routing picks the right model for each workload. Fail over between providers without losing context or message history — zero lock-in.

💬

Messenger Agnostic

Telegram today. Slack, Discord, WhatsApp, email tomorrow. The agent's mind doesn't live in the channel — it lives in the core. Channels are interchangeable windows.

🔍

Hybrid Search

All knowledge modeled as navigable trees — memory, archives, files, structured data. Three retrieval signals merged per query: keyword, semantic, and graph traversal. The agent surgically locates what it needs, not just what matches.

🌙

Idle Maintenance

During idle time, composable maintenance phases run autonomously — reflecting on history, cross-referencing the archive, restructuring memory. Each phase operates under programmatic constraints. The agent maintains its own knowledge.

📐

Scales In Every Direction

Add integrations to deepen what your agent knows. Add engines to parallelize what it does. One core, any number of connections — vertical depth meets horizontal throughput.

PRICING

Your agent. Your keys. Your data.

Intelligent model routing picks the right model for each workload — deep reasoning where it matters, speed where it doesn't. Multi-layer compaction and caching keep your context sharp and costs low as conversations grow.

Managed

€120/month
  • Optakt-Hosted Instance
  • Core + Engine
  • Standard Connectors
  • One Conversation
  • Single Provider API Key
  • Memory + Archive + Knowledge Graph
  • Context Reduction + Caching
  • Phase-Gated Execution

Professional

Coming soon
  • Self-Hosted Instance
  • Core + Multiple Engines
  • Integrations Marketplace
  • Multiple Operators
  • Multi-Provider API Routing
  • Memory + Archive + Knowledge Graph
  • Context Reduction + Caching
  • Configurable Execution Gates
  • Idle Maintenance + Signal Processing
  • Full Historic Reprocessing
  • Dashboard + Priority Support

Enterprise

Bespoke
  • On-Premise Deployment
  • Multiple Cores + Multiple Engines
  • Custom Integrations
  • Access Management
  • Managed API Credits
  • Memory + Archive + Knowledge Graph
  • Context Reduction + Caching
  • Dynamic Execution Architecture
  • Idle Maintenance + Signal Processing
  • Full Historic Reprocessing
  • 360° Monitoring + Dedicated Support

Start building yours.

We're onboarding first users with white-glove setup.
Early access phase. Limited spots.