Local MLX-LM inference server for Apple Silicon. Custom serving layer with priority queuing, thermal-aware scheduling, and experiment hooks for Sylveste/Clavain.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claim[DEPRECATED — use intervox] Analyze your writing style and adapt Claude's output to sound like you. Replaced by intervox (via the interim intervoice), which adds a measured stylometric fingerprint, LLMism linter, and verified closed-loop apply on top of the global multi-register profile.
mistakeknotSelf-improving agent rig: codifies product and engineering discipline into composable workflows from brainstorm to ship. Compounds knowledge, generates domain agents, monitors its own docs, and surfaces conservative update drift. Orchestrates Claude, Codex, and Oracle through 6 agents, 57 commands, 20 skills, 0 MCP servers. Factory substrate: CXDB turn DAG, scenario bank with satisfaction scoring, evidence pipeline, agent capability policies. Companions: interspect, interphase, interline, interflux, interpath, interwatch, interslack, interform, intercraft, interdev, interpeer, intertest.
mistakeknotRecursive AGENTS.md generator with integrated Oracle critique, CLAUDE.md harmonization, incremental updates, diff previews, and smart monorepo scoping. Cross-AI compatible.
mistakeknotToken efficiency benchmarking, session analytics, and API-equivalent cost analysis for agent workflows
mistakeknotMulti-agent review and research with scored triage, domain detection, content slicing, intermediate finding sharing, and knowledge injection. 17 agents (12 review + 5 research), 8 commands (incl. flux-melange — a goal-seeking adaptive review loop with lens fusion and novelty/risk/taste scoring), 3 skills (flux-engine, flux-review-engine, flux-melange-engine), 2 MCP servers (exa, openrouter-dispatch). Companion plugin for Clavain.
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npx claudepluginhub mistakeknot/interagency-marketplace --plugin interferWhen setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI tools. When troubleshooting local LLM server connections.
Jamie-BitFlightRun AI models locally with Ollama - free alternative to OpenAI, Anthropic, and other paid LLM APIs. Zero-cost, privacy-first AI infrastructure.
jeremylongshoreRun and manage local LLMs via Ollama's REST API, with support for text generation, chat, embeddings, and custom model creation.
datathingsSkills for authoring, exporting, compiling, and running PyTorch models on Apple silicon via Core AI.
appleMachine learning training and inference pipeline using cloud GPUs (Modal, Lambda Labs, RunPod) with HuggingFace ecosystem - no local GPU required
vanman2024ONNX Runtime inference daemon for ML-enhanced plugin capabilities. Provides local model inference over HTTP with explicit opt-in activation.
athola