Sovereign Agentic AI and Custom Enterprise AI Agents for Your Business
era3000 is a specialized systems engineering and agentic AI systems laboratory. We focus on launching robust, sandboxed autonomous agents for your business, eliminating corporate SaaS dependencies and context rot. In a digital environment where data leakage is a serious liability, closed SaaS platforms do not offer the paranoid bare-metal protection required by enterprise intelligence frameworks. Kora is our answer. Kora is a sovereign, self-hosted agentic AI platform. It is engineered with per-user workspace isolation and isolated containerized tool runtimes. By utilizing Kora Core, developers can run a private Node.js monolith with SQLite and local LLMs (like Ollama or LM Studio) completely free under the MIT license. By upgrading to a Kora Multiuser commercial license, enterprises and agency resellers can obtain full source code access to a state-of-the-art white-label AI agent platform. This allows them to bundle, brand, and resell Kora as their own Agent as a Service (AaaS) platform, keeping 100% of their billing revenues.
Custom White Label AI Agent Codebase vs Closed Proprietary SaaS
Resellers and agencies seeking a white label AI agents platform are often forced into platforms like Konverso.ai. However, proprietary SaaS ecosystems enforce monthly licensing fees per user, lock you into their cloud hosting, and deny access to the underlying codebase. The Kora Multiuser model completely disrupts this: for a single, flat one-time payment of €1,500, you obtain 100% ownership of our TypeScript codebase. You can run unlimited workspaces and users on your own cloud infrastructure (using our Docker Compose setups) and configure your own custom Stripe SaaS pricing tiers. There are no recurring royalties, no licensing lock-ins, and no vendor constraints. If you require expert implementation and turnkey hosting, era3000 offers a Setup & Support subscription for €500/month, giving you direct 1-on-1 access to our core systems engineers.
Advanced Security: Sandbox Browser Isolation & Tool Safeguards
Security is not an afterthought at era3000; it is built on 25 years of internet infrastructure battle scars. When Kora executes tools, it does not do so in the host runtime. Shell commands are executed inside strictly restricted Docker containers or macOS Seatbelt sandboxes. Headless browser crawling and search interactions run inside independent isolated browser containers (CloakBrowser) per workspace, preventing cross-user session leaks or cookie hijacking. Failsafe human-in-the-loop validation is enforced for sensitive operations (such as installing new MCP servers, running shell commands, or updating administrative system parameters).
Neural Memory Architecture & Self-Consolidating Long-Term Storage
Standard LLM applications suffer from memory limits and context rot. Kora employs a multi-tiered neural memory model. Factual records, configurations, and workspace memories are stored in the MEMORY.md profile. Workspace settings, user preferences, and communication goals are tracked by the KYU user profiling system. As conversations progress, Kora uses importance scoring and recency decay curves to prune stale details. After each session, an automated agent merges duplicate insights and summarizes the conversation, ensuring that less than 30 top-priority memory entries are loaded into the prompt context at any time. This prevents hallucinations and reduces token billing costs dramatically.