∞
Never Forgets
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Learns From You
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Shares Across Agents
✦
Runs On Anything
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.
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.
No persistent memory. No understanding of past decisions. Every session is groundhog day. Dozens of projects exist just to bolt memory onto Claude Code.
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.
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.
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.
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.
Living memory holds current truth. The archive preserves how things got there. The knowledge graph connects everything and expands every search.
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.
We found 97 projects that try to bolt memory onto Claude Code. The entire ecosystem is scrambling to add after the fact what Optakt built as foundation. Every solution is partial — they solve persistence but not governance, search but not evolution.
| Dimension | Claude Code | Codex | Gemini CLI | Optakt |
|---|---|---|---|---|
| Memory | CLAUDE.md flat file | AGENTS.md flat file | /memory add flat file | Blocks + Archive + Knowledge Graph |
| Persistence | Per-session | Per-session | Per-session | Months of compounding |
| Governance | None | None | None | Constitution + gating |
| Pipeline | None | None | None | 8-phase with quality gates |
| Self-knowledge | None | None | None | Learns from every task |
| Signal processing | None | None | None | Email, webhooks, data pulls |
| Interface | CLI/Desktop | CLI/Web | CLI | Telegram (2B users) |
| Provider lock-in | Anthropic only | OpenAI only | Google only | Provider-agnostic — runs on anything |
| Knowledge sharing | None | None | None | Cross-agent network |
Understand before acting. Plan before executing. Verify before completing. Every task flows through quality gates — the agent earns confidence, it doesn't assume it.
Email, webhooks, data feeds — processed into structured knowledge while you sleep. Your agent learns from your world without being asked.
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.
Every tool call passes through a deterministic chain — scope, rate limits, approvals, validation. Pure code, not LLM reasoning. Can't be talked around.
Runs on any LLM provider. Bridges knowledge seamlessly between models. Intelligent routing picks the right model for each workload — your cost, your choice, zero lock-in.
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.
Three signals merged: keyword matching, semantic understanding, and knowledge graph traversal. Every search finds what you meant, not just what you typed.
During idle time, the agent reviews and consolidates its own knowledge — reconciling facts, improving blocks, catching inconsistencies. It maintains itself.
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.
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.
We're onboarding first users with white-glove setup.
Early access phase. Limited spots.
Tell us a bit about your setup.
Tell us about your enterprise needs.