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Be free, be frog 🐸
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Be free, be frog 🐸
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Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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froggychips/README.md

froggychips

Self-taught SRE building small, sharp infrastructure tools for noisy systems: Kubernetes, MCP, local AI, and low-RAM Apple Silicon.

Current focus

  • KG-first SRE automation
  • MCP supply-chain safety
  • Local AI on Apple Silicon

Active projects

  • sre-ai-copilot — KG-first SRE intelligence layer: AlertManager → topology/deploy/pod-event enrichment → Discord incidents with blast radius, NATS impact, pod trail, owners, and daily digests.
  • mcp-skills-vault — registry + supply-chain integrity gate for MCP servers. 112 pinned/vetted entries with sha512/sha256/Docker-digest pins, 4 advisory feeds, offline-first. Make MCP boring.
  • mcp-trace — stdio flight recorder for MCP servers. Logs JSON-RPC metadata to local SQLite so you can see what a tool actually did.
  • tweai — AI reply assistant for X (Twitter). Open-source Chrome extension that drafts replies in your voice — 8 personas, smart thread context, tweet translator. OpenAI, Grok, Gemini. BYOK, no subscription, nothing routed through a middleman.

Froggy ecosystem

Four repos built around one idea: a private local LLM daemon that knows what's on your screen.

Repo What it does
Froggy Local LLM + screen OCR daemon for 8 GB Apple Silicon Macs. Memory management, sliding context window, private inference. Core of the ecosystem.
FroggyKit Shared Swift package — FroggyClient IPC, used by froggy-mcp and froggy-sre.
froggy-mcp MCP server — connects Claude Code to Froggy over a Unix socket. Cloud model, local eyes.
froggy-sre SRE incident response agent — feed a Kubernetes alert, get back root cause + fix + risk in one MCP call. Routes LLM calls to Froggy first. 
Claude Code ←—MCP—→ froggy-mcp ←—socket—→ Froggy daemon (screen, OCR, local LLM, transcripts)
Claude Code ←—MCP—→ froggy-sre ←—socket (primary) / API (fallback)—→ incident analysis report

Older security work

Archived router / IoT / malware-analysis repos from my network-security period. Kept for history; current work is SRE automation, MCP safety, and local AI.

In Frog We Trust 🐸

Pinned Loading

  1. Froggy Froggy Public

    On-device LLM + screen OCR for macOS. Native Swift 6, MLX, ScreenCaptureKit. Optimized for low-RAM Apple Silicon (8 GB).

    Swift

  2. froggy-mcp froggy-mcp Public

    MCP bridge: lets Claude Code talk to the Froggy daemon over a Unix socket — cloud model, local eyes.

    Swift

  3. mcp-skills-vault mcp-skills-vault Public

    Deterministic registry + supply-chain integrity scanner for MCP (Model Context Protocol) servers. One-line install via npx, hash-pinned 112-entry DB, 4 advisory feeds, offline-first audit. Make MCP…

    JavaScript

  4. froggy-sre froggy-sre Public

    MCP-based SRE incident response agent for macOS. Feed a Kubernetes alert → get root cause, fix, and risk in one tool call. Native Swift, on-device LLM by default.

    Swift

  5. sre-ai-copilot sre-ai-copilot Public

    AI-driven incident response copilot for Kubernetes. AlertManager webhook → agent pipeline (analyzer/hypothesis/critic/fix/risk) → human approval. FastAPI + Celery + LLM, k8s namespace guardrails.

    Python

  6. tweai tweai Public

    AI reply assistant for X (Twitter) — OpenAI, Grok & Gemini, 8 personas, tweet translator, smart thread context. BYOK, no subscription, open-source Chrome extension.

    JavaScript 2 1