Berlin AI Labs · Systems Architecture & Research

Autonomous Agent Runtimes, Kernels & Execution Harnesses

Architecting deterministic execution environments: process lifecycle, memory trees, tool orchestration, OS-level sandboxing, and verifiable runtime governance. Directed by Yami Gopal.

Inspect Runtime Architecture Research & Architecture Papers
Deterministic Execution Harness
Sub-50ms Kernel Sandboxing
DDD Multi-Agent Swarms
Ed25519 Cryptographic Proofs
Runtime Stack

The Production Agent Runtime Platform

Three interconnected subsystems: the execution harness, distributed swarm coordination, and hardware-enforced runtime governance.

⚙️

Agent Kernels & Harnesses

Deterministic process execution, tool dispatch boundaries, memory context trees, and self-healing error recovery loops. Controls how models interact with state, compute, and external dependencies.

  • 🔄 Self-healing execution loops and state rollback
  • 🌳 Hierarchical memory and context window pruning
  • ⚡ Deterministic tool dispatch and schema validation
🎼

Multi-Agent Orchestration

Applying Domain-Driven Design and Hexagonal Architecture to multi-agent swarms. Separating bounded contexts, managing asynchronous event sourcing, and cascading through tiered model capability ladders.

  • 🏛️ Bounded contexts and domain event sourcing
  • 🪜 Tiered model routing from fast heuristics to deep reasoning
  • 🤝 Resilient multi-agent handoffs without context drift
🛡️

Sandboxing & Governance

Containing tool execution at the operating system and hardware boundary. Restricting stdio-based MCP tools via native Linux seccomp/Landlock, attesting execution in hardware TEEs, and signing audit traces.

  • 📦 Sub-50ms process jailing (Apple Seatbelt / Linux seccomp)
  • ✍️ Cryptographic Ed25519 execution proofs (VERA)
  • ⚖️ Article 14 human oversight and multisig approval gates
Interactive Systems

Production Systems & Demonstrations

Interactive prototypes, compliance middleware, and runtime governance control planes built by the lab.

AegisMCP Sandbox
Model Context Protocol Security

AegisMCP Sandbox

OS-native sandboxing proxy in Rust securing Anthropic's Model Context Protocol (MCP). Shields host filesystems and local sockets from prompt injection.

Inspect Architecture →
Aegis-12 TEE Gateway
EU AI Act Security

Aegis-12 TEE Gateway

Interactive hardware-enforced runtime verification. Watch an enclave intercept a 50,000 USDC transfer and enforce Article 14 multisig approval.

Launch Simulation →
ConvoGuard AI
Healthcare Compliance

ConvoGuard AI Middleware

Real-time compliance API for conversational health agents. Sub-20ms latency boundaries, GDPR pseudonymization, and 100% crisis detection recall.

Read Case Study →
AgentOps Mission Control
Agent Governance

AgentOps Mission Control

Fleet governance console for autonomous agents featuring real-time compliance tracking, emergency kill switches, and execution telemetry.

View Live Dashboard →
Systems Research

Featured Research & Engineering Essays

In-depth architectural analysis on agent runtime isolation, domain-driven design, and model capability routing.

Security Paper

Securing stdio: The Hidden Security Threat in MCP

Most MCP integrations communicate over stdio, bypassing corporate network gateways. Here is how we contained prompt-injection exfiltration at the syscall level using Rust.

Read Technical Essay →
Distributed Architecture

Domain-Driven Design for Multi-Agent Swarms

Applying Domain-Driven Design and Hexagonal Architecture to build decoupled agent swarms that maintain deterministic state without corruption.

Read Technical Essay →
Model Routing

Improving Quality with a Tiered Model Ladder

Orchestrating model capability tiers for cost and latency optimization. Heavy reasoning models frame the problem; lightweight models execute.

Read Technical Essay →
Explore All 11 Engineering Essays in Research Archive →
Applied Systems Archive

Applied Systems & Engineering Prototypes

Earlier distributed pipelines, multimodal engines, and failure injection systems architected by the lab.

Failure Injection

AI Canary Monitoring System

Synthetic probe execution, runtime failure injection, and automated model drift detection across production agent deployments.

Launch Live Canary →
Multimodal Video Pipeline

Multimodal Video Processing Pipeline

Autonomous scene segmentation, Whisper speech transcription, and GPU rendering queues for long-form video understanding and clip extraction.

Read Pipeline Architecture →
Distributed Workflows

Event-Driven Workflow Orchestration

Deterministic retry loops, dead-letter queues, and state synchronization across distributed worker nodes in n8n and Python.

View Orchestration Case Study →
🛡️ EU AI Act Ready
⚡ Sub-50ms Sandboxing
🔒 DSGVO-Konform
🇩🇪 Engineered in Berlin
The Architect

Systems Architecture & Research,
Directed by Yami Gopal

I direct Berlin AI Labs as an independent systems research lab focused on autonomous agent runtimes, kernels, and execution security.

With fifteen years of background designing carrier-grade distributed systems, high-throughput financial backends, and low-level software infrastructure across Europe, I focus on the hard engineering layer: how to make autonomous agents deterministic, isolated, and production-viable.

Available for Principal and Staff Systems Engineering roles, founding engineer opportunities, and high-impact technical advisory.

Agent Runtime Architecture
Agent Kernel & Harness Design
Rust Systems Engineering
OS Sandboxing (seccomp / Landlock)
Distributed Multi-Agent DDD
Cryptographic Proof Chains
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Yami Gopal - Principal Systems Architect
Direct Connection

Initiate Technical Discussion

Direct access to Yami Gopal for Principal and Staff engineering roles, founding infrastructure discussions, and agent runtime architecture advisory.

Principal Systems Architect
Yami Gopal
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VERA Protocol Whitepaper → Article 14 Interactive Gate → 11 Engineering Research Papers →