Build and operate modular agent runtimes with realm-scoped sessions and mob orchestration.
npx skills add https://github.com/lukacf/meerkat --skill meerkat-platform
Please help me install this Agent Skill. Skill: meerkat-platform Source: https://github.com/lukacf/meerkat/tree/main/.claude/skills/meerkat-platform Command: npx skills add https://github.com/lukacf/meerkat --skill meerkat-platform
Meerkat-platform provides a unified, runtime-backed framework to design, deploy, and operate modular agent platforms across surfaces (CLI, REST, RPC, MCP, Python/TypeScript/Rust SDKs). It emphasizes realm-scoped sessions, mob orchestration, memory, tooling, and multi-agent coordination, enabling scalable, production-grade agent workloads.
Boot a realm, create a session, and begin issuing prompts to orchestrate agents across surfaces.
High-intent search queries and answers about installing and using this skill.
You can build modular agent runtimes by using a framework that provides realm-scoped sessions, mob orchestration, and cross-surface deployment across CLI, REST, RPC, MCP, and SDK integrations in a single unified environment.
Mob orchestration coordinates multi-agent collaboration and flows by binding agents to specific surfaces, enabling multiple agents to work together within realm-scoped sessions using shared memory and integrated tooling.
Yes, you can deploy agent workflows across CLI, REST, RPC, MCP, and Python/TypeScript/Rust SDKs using a unified runtime that supports end-to-end processes from session creation to model hot-swapping.
Realm-scoped sessions are set up by booting a realm and creating a session, which provides isolation and durability using persistent sqlite or jsonl backends across all deployment surfaces.
The best way to manage model hot-swapping and memory is through a runtime-backed framework that supports persistent backends and realm-scoped sessions, enabling scalable and durable agent workloads during operation.
Yes, the framework supports enterprise-grade agent runtimes and automation pipelines by enabling cross-surface integration, multi-agent team orchestration, and embedding agents into services across CLI, REST, RPC, and MCP.
vut08905Orchestrate multi-agent workflows with declarative .prose programs.
PatrickGallucciGenerate ontologies from semantic models and bind data sources for agent workflows.
LamseyahEliasConfigure and extend Hermes Agent for multi-agent orchestration across gateways.
BishopCodesCoordinates multiple AI agents for parallel task execution and specialized workflows.
