Duration: 60 minutes
Difficulty: Beginner–Intermediate
Prerequisites: AWS CLI configured (aws configure), Claude Code installed, GitHub personal access token, Node.js 18+
Deliverable: Completed diagnosis report, GitHub issue filed, permission mode journal
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| # M3 · vLLM on CPU — serves SmolLM2 behind the same OpenAI /v1 contract as M2. | |
| # | |
| # Build the patched image (see Dockerfile), then: docker compose up -d | |
| # Health: curl http://localhost:8009/health | |
| services: | |
| vllm-cpu: | |
| build: | |
| context: . | |
| dockerfile: Dockerfile | |
| image: vllm-cpu-optimized:latest |
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| { | |
| "nodes": [ | |
| { | |
| "unique-id": "agent-layer", | |
| "node-type": "system", | |
| "name": "Agent Layer", | |
| "description": "Core reasoning, coordination, and task-execution layer of the multi-agent system." | |
| }, | |
| { | |
| "unique-id": "agent-collaboration-patterns", |
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| { | |
| "nodes": [ | |
| { | |
| "unique-id": "agent-layer", | |
| "node-type": "container", | |
| "name": "Agent Layer", | |
| "description": "Core reasoning, coordination, and task-execution layer of the multi-agent system." | |
| }, | |
| { | |
| "unique-id": "agent-collaboration-patterns", |
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| { | |
| "nodes": [ | |
| { | |
| "unique-id": "agent-layer", | |
| "node-type": "container", | |
| "name": "Agent Layer", | |
| "description": "Core reasoning, coordination, and task-execution layer of the multi-agent system." | |
| }, | |
| { | |
| "unique-id": "agent-collaboration-patterns", |
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| { | |
| "nodes": [ | |
| { | |
| "unique-id": "user", | |
| "node-type": "actor", | |
| "name": "User", | |
| "description": "End user or automated process initiating requests to the multi-agent system" | |
| }, | |
| { | |
| "unique-id": "application", |
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| Hermes Agent: Feature Analysis & Enterprise Framework Comparison 2026 | |
| --- | |
| What Kind of System Is Hermes? | |
| Before comparing frameworks, it's important to classify Hermes correctly. It is not the same category of thing as LangGraph or LangChain. Those are orchestration libraries — you build agent | |
| systems with them. Hermes is a fully assembled agentic runtime — it ships with the agent loop, 40+ tools, 19 messaging platform adapters, an execution environment abstraction layer, a | |
| skills marketplace, a context compression engine, multi-model routing, and an OpenAI-compatible API server, all integrated and configured out of the box. | |
| The right comparison is less "LangGraph vs Hermes" and more: |
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| Security & Enterprise-Readiness Report: Claw Code | |
| Subject: claw-code (ultraworkers/claw-code, Rust, v0.1.0) | |
| Comparators: IronClaw, OpenClaw, ZeroClaw | |
| Hermes: Not present in this experiments/ workspace — excluded from comparison. | |
| Date: 2026-04-07 | |
| --- | |
| TL;DR — Is Claw Code safe? |
| name | k8s-pod-health-investigator | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| description | Investigate unhealthy pods in a Kubernetes namespace. Use when pods are in CrashLoopBackOff, ImagePullBackOff, OOMKilled, or showing high restart counts. Covers pod status, log analysis, deployment history, event correlation, and self-healing recommendations. | |||||||||||||
| version | 1.0.0 | |||||||||||||
| compatibility | kubectl, HERMES_LAB_MODE=mock|live | |||||||||||||
| metadata |
|
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