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MCP servers and skills: search, filter by where they run, and compare.
llm-wikigeronimo-iia
LocalGit-backed wiki engine with MCP server — build knowledge that compounds
SkillApache-2.0★ 46No key
LLM-Shield-Proxyninadphalak
MCP servers and skills: search, filter by where they run, and compare.
Git-backed wiki engine with MCP server — build knowledge that compounds
SkillApache-2.0★ 46No key
Streaming privacy for LLM apps: pii-leak-benchmark (does your gateway leak PII in streams?), chunk-invariance (one-line test for split-boundary leaks), mcp-ssrf-check, and a self-hosted redacting gate
PythonApache-2.0★ 12No key
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
SkillApache-2.0★ 23kNo key
Agent-driven proactive memory CLI for AI agents — autonomously recall, maintain, and evolve persistent, source-grounded knowledge across sessions.
SkillApache-2.0★ 67No key
Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlinin
PythonApache-2.0★ 307No key
Filesystem-based persistent memory for LLMs and AI agents -- unlimited context windows without lossy summarization
PythonApache-2.0★ 9No key
Self-hosted LLM gateway that turns flat-rate AI subscriptions (Claude Code Max, ChatGPT Plus, Codex, Copilot, M365, Gemini) into one OpenAI/Anthropic-compatible API. Unified subscription wallet, OAuth
SkillApache-2.0★ 14No key
Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Stand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Build and run evaluators for AI/LLM applications using Phoenix.
OfficialSkillApache-2.0★ 40k in collectionNo key
MCP server exposing Tessera's LLM cost optimization layer as tools for Claude Desktop, Claude Code, Cursor, Cline, Continue, Goose. Returns savings decisions, not raw logs.
Node.jsApache-2.0★ 4Few starsNeeds a key
Skill for Claude, Cursor & Copilot that automates the Karpathy LLM Wiki workflow: ingest web, GitHub, and YouTube URLs into a well-structured, citable, cross-referenced knowledge base with automatic l
SkillApache-2.0★ 76No key
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
OfficialSkillApache-2.0★ 40k in collectionNo key
Universal project extractor for LLMs — turn any local codebase into clean, structured, AI-ready data.
PythonApache-2.0★ 13No key
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
Node.jsApache-2.0★ 3.2kNo key
Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm selection (bayesian, hyperband, asha, bohb, llm, hybrid, autoresearch), Wa
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use this skill when an application owns tool or LLM/provider call sites and needs to wrap them with NeMo Relay scopes and managed execution APIs for lifecycle events, middleware, or guardrails.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Debug your Container and Kubernetes workloads with an AI interface
GoApache-2.0★ 28No key
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, an
OfficialSkillApache-2.0★ 40k in collectionNo key
Use this skill when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Local-first memory layer for LLM apps and agents. Runs offline on Ollama, sentence-transformers and FAISS; OpenAI and Anthropic optional. Importance scoring, contradiction resolution, confidence-aware
PythonApache-2.0★ 49No key
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Rust-native, local-first, auditable structured extraction with schemas, benchmarks, persistence, and operational reliability
SkillApache-2.0★ 5No key
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