Our plaform - Mesh of Minds
Mesh of Minds is an enterprise Agentic AI Orchestration Platform built as a modular, extensible stack for large-scale deployment across the enterprise.
The platform brings together orchestration, connectivity, governance, payments, and interface layers into a single cohesive operating system for agents. It is designed to coordinate, monitor, and evolve multi-agent systems while plugging into a number of models, tools, and infrastructure.

Orchestration & Execution
The Orchestration & Execution layer is the coordination engine for large-scale, multi-agent and multi-model workflows. It schedules, routes, and executes work across agents while managing complexity, performance, and reliability.
Built as a high-performance workflow engine, it supports distributed and parallel task execution with advanced concurrency control and dynamic load balancing. This enables teams to move from single prompts to robust, multi-step agentic pipelines.
The layer is deeply instrumented with evaluation suites, replay capabilities, and full observability, giving you the tools to iterate quickly and confidently on production-grade agent systems.
Included in this layer
- High-performance workflow engine
- Distributed & parallel task execution
- Advanced concurrency control
- Dynamic scheduling & load balancing
- Evaluation suites & regression detection
- Run replay & time-travel debugging
- Traces, logs, metrics & events

Model, Agent & Tool Connectivity
The Model, Agent & Tool Connectivity layer provides unified integration with all your models, agents, tools, and enterprise systems. It is the fabric that connects the orchestration engine to the rest of your ecosystem.
It supports cloud LLMs, in-house and open-source models, as well as fine-tuned variants — all routed through multi-provider inference with capability-aware routing and failover. Models become interchangeable infrastructure, not one-off endpoints.
Beyond models, the layer connects external agents, enterprise APIs, services, data sources, and applications. Shared context flows across agents and tools so that complex workflows can coordinate on a single source of truth.
Included in this layer
- Cloud, In-house, open-source & fine-tuned models
- Multi-provider routing & failover
- Model capability mapping
- External agent integration
- Tool invocation & function calling
- Enterprise API connectors
- Service, data & app integrations
- Context sharing across agents & models

Data & Memory Integration
The Data & Memory layer gives agents persistent context and recall. It connects agentic workflows to your data, knowledge bases, and specialized memory stores so they can reason over richer, more accurate information.
Vector databases, retrieval pipelines, and contextual augmentation turn unstructured data into usable context. Agents can maintain episodic, long-term, and structured memories to build continuity across sessions, tasks, and users.
Data enrichment and preprocessing flows ensure that information is standardized, cleaned, and optimized for downstream agentic consumption in production environments.
Included in this layer
- Vector database support
- Retrieval & contextual augmentation
- Episodic & long-term memory stores
- Structured memory management
- Context engineering

Discovery & Registry
The Discovery & Registry layer is a structured catalog for reusable agentic components, inspired by standards like ERC-8004. It makes agents, tools, and workflows discoverable, composable, and shareable across teams.
Each component carries rich metadata, semantic descriptions, and capability declarations, enabling smarter search, composition, and dependency resolution. Versioning ensures that teams can evolve components without breaking downstream consumers.
Marketplaces, ratings, and provenance signals provide visibility into what works, where it’s used, and how much it’s trusted, across private, departmental, org-wide or public registries.
Included in this layer
- Agent & tool registry
- Metadata & semantic descriptions
- Capability modeling
- Versioning & dependency resolution
- Publishing & internal marketplace
- Ratings, reviews & provenance
- Trust & reputation signals

Governance, Security & Compliance
The Governance, Security & Compliance layer provides enterprise-grade controls for operating agentic systems safely and responsibly. It encodes policies, permissions, and regulatory requirements into the platform itself.
Governance capabilities span data privacy, risk scoring, bias detection, and anomaly monitoring — all geared towards maintaining compliance posture and audit readiness for high-stakes use cases.
Security primitives such as RBAC, secrets management, zero-trust agent permissions, and sandboxed tool execution reduce blast radius, while human-in-the-loop workflows and cryptographic attestation deliver end-to-end oversight and verifiability.
Included in this layer
- Policies & enterprise guardrails
- Audit readiness tooling
- Zero-trust agent permissions
- Sandboxed tools & external calls
- Human-in-the-loop
- Comprehensive audit logs
- Verifiable traces & attested outputs

Administration & Operations
The Administration & Operations layer is everything you need to run Mesh of Minds in production environments. It gives operators visibility and control over configuration, deployment, cost, and system health.
An admin console centralizes model lifecycle management, configuration, and deployment controls, while business analytics surface KPIs and ROI for agentic workflows. Cost monitoring and optimization ensure that scaling agents also scales economics.
Designed for cloud, on-prem, VPC, and hybrid setups, the platform is Kubernetes-native with multi-environment support and CI/CD integration, enabling modern MLOps-style delivery for agent systems.
Included in this layer
- Model lifecycle management
- Cost monitoring & optimization
- Business analytics dashboards (KPIs, ROI)
- System health monitoring & alerts
- Cloud, on-prem, VPC & hybrid

Agentic Commerce & Payment
The Agentic Commerce & Payment layer powers economic interactions between agents, users, and services. It enables built-in wallets, payments, and billing models that align incentives and usage with value.
Agents and users can transact via stablecoin payments and micropayments, enabling granular pricing models such as pay-per-action or capability-based billing. This unlocks new marketplaces and business models around agent capabilities.
All settlements are handled with secure settlement, receipts, and audit trails so finance and compliance teams maintain clear, reliable records of agentic commerce.
Included in this layer
- Built-in wallets for agents & users
- Stablecoin payments
- Micropayment support
- Usage-based billing models
- Capability-based billing models
- Pay-per-action workflows
- Secure settlement & receipts
- Financial audit trails

User Experience & Interface
The User Experience & Interface layer provides the front door to agentic capabilities. It ships UI components, co-pilot patterns, and integrations that let teams embed agents directly into products and workflows.
White-label co-pilot frameworks and chat-based UI SDKs make it easy to launch conversational experiences with configurable behaviors that reflect your brand and domain expertise.
The layer also connects outwards to existing tools and channels: messaging apps, LLM providers, and embeddable widgets that bring Mesh-of-Minds-powered agents into the tools your users already use daily.
Included in this layer
- White-label co-pilot frameworks
- Chat-based UI components
- Integration with LLM-native tools
- Integrations with messaging apps
- Embeddable widgets for enterprise apps
- SDKs for custom integrations
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Our offices
- Cologne (HQ)
Barbarossaplatz 4
50674, Cologne, Germany - Budapest (R&D)
Vaci ut 47/B
1137, Budapest, Hungary - Funchal (R&D)
CHO Virtudes 39
9000-163, Funchal, Madeira