Nasiko is a comprehensive developer control plane for building, deploying, and managing AI agents at scale, addressing the challenges of centralized management, intelligent routing, and observability.
Source: README View on GitHub →Nasiko is gaining attention due to its comprehensive approach to AI agent management, addressing the pain points of scaling AI agent ecosystems with features like centralized registry, intelligent routing, and production-grade infrastructure. Its use of modern microservices architecture and support for popular technologies like Docker and Kubernetes also stands out.
Source: Synthesis of README and project traitsNasiko provides a centralized registry for version-controlled agent storage, automated deployment with Docker and Kubernetes, and a structured AgentCard system for intelligent routing and hot deployment capabilities.
Source: READMEThe project leverages LangChain for AI-driven query analysis and agent selection, incorporates load balancing and capability matching, and offers confidence scoring for probabilistic agent selection with fallback handling.
Source: READMENasiko integrates Kong API Gateway for enterprise-grade API management, supports multi-authentication, and includes conversation logging, service discovery, and health monitoring.
Source: READMEThe project offers a one-command setup, a rich CLI tool, a web dashboard, a desktop application, and REST APIs for comprehensive programmatic access.
Source: READMENasiko includes an integrated observability dashboard, request tracing, health monitoring, usage analytics, and LLM-native monitoring for AI agent interactions.
Source: READMENasiko employs a cloud-native microservices architecture with a modular design, utilizing FastAPI for the backend, Kong API Gateway for routing, and various databases and services like MongoDB, Redis, and Phoenix for data storage and processing. The architecture emphasizes scalability, observability, and robustness through its use of containerization and orchestration tools.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
fastapidjangoflaskkubernetesredismongodbsqlalchemyNasiko is suitable for organizations developing and managing large-scale AI agent ecosystems, particularly in scenarios requiring centralized management, intelligent routing, and robust observability. It is useful for deploying AI agents in production environments, managing complex workflows, and ensuring high availability and performance.
Source: READMEv1.0.0 (2026-02-12): Initial release with a native macOS desktop application.
Source: GitHub ReleasesNasiko is a promising project for teams looking to build and manage complex AI agent ecosystems. Its comprehensive feature set and robust architecture make it a strong candidate for enterprise use cases, though it may require careful planning and configuration to fully leverage its capabilities.
Nasiko is a comprehensive developer control plane for building, deploying, and managing AI agents at scale, addressing the challenges of centralized management, intelligent routing, and observability.
nasiko's core features include: Agent Lifecycle Management, Intelligent Operations, Production Infrastructure, Developer Experience, Enterprise Observability.
Nasiko is gaining attention due to its comprehensive approach to AI agent management, addressing the pain points of scaling AI agent ecosystems with features like centralized registry, intelligent routing, and…
Nasiko is suitable for organizations developing and managing large-scale AI agent ecosystems, particularly in scenarios requiring centralized management, intelligent routing, and robust observability.