Llm runtime architecture
Skill agentlas-ai/Agentlas-OS/skills/llm-runtime-architecture
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
npx -y skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architectureAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.
SKILL.md
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LLM Runtime Architecture
Procedure
- Keep
AGENTS.mdas the canonical behavior contract. - For each runtime, name entry point, global command, adapter files, available tools, memory access, limitations, and verification command.
- Keep adapters thin and point them back to the canonical core.
- Write or repair
.agentlas/global-commands.jsonwhen creating or packaging an agent. - State unsupported capabilities explicitly.
Output
Return a runtime matrix with runtime, entry_point, global_command,
adapter_files, memory_access, limitations, and verification.