13,728 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Autonomous experimentation engine for AI engineering decisions. Define a goal + candidates + threshold, get a defensible ship-or-kill verdict in hours — sealed held-out test, pre-registered metric, sprint-and-generalize iteration.
★not rated 6 3mo agoA
tokens not measured
originalMIT
Configuration rules for creating language models through one shared ModelConfig interface, with support for several hosted providers and local Ollama models. The configuration can include the model, provider, temperature, token limit, reasoning, and web-search settings.
Autonomous ML research loop. Handles initialization (interactive dataset scan, EDA, user interview, strategy planning) and autonomous iteration (hypothesis selection, experiment execution via worker agent, state updates). Use when the user says "start research", "auto research", "run ML research", "initialize…
LEAP: LLM Engineered Application Pattern. A philosophy where code is a commodity — only prompts, schemas, and tests are source of truth. AI generates all application code on demand.
★not rated 6 4mo agoA
tokens not measured
originalMIT
A locally running retrieval-augmented generation service exposed through MCP, a standard way for AI tools to connect to external capabilities. RAG lets an AI find relevant information before generating an answer.
RAG-based skill retrieval system for AI agents. Scalable long-term storage with semantic search via MCP. Runs locally from the skill-depot npm package.
★not rated 6 4mo agoA
tokens not measured
originalMIT
Inspect, select, rent, and observe AutoDL compute for a concrete research workload. Use when Codex must decide between local, existing, Pro, or Enterprise Elastic GPUs; validate disk, network, persistence, and runtime fit; or operate an approved AutoDL run through the API and SSH.
A tool for turning legal documents and other source material into a searchable local knowledge base. It supports sources such as PDF, DOCX, images, Markdown, and question-and-answer sets.
MCP server for the Ethora chat & messaging platform: chat ops, AI agents, RAG, automation. Runs locally from the @ethora/mcp-server npm package. Needs 5 environment variables to run.
★not rated 6 11d agoA
tokens not measured
originalMIT
A locally running retrieval-augmented generation (RAG) service. RAG helps an AI find relevant information from a knowledge collection before answering.
MCP server "mcp-server-pixeltable-developer" as configured in pixeltable/mcp-server-pixeltable-developer. Runs locally from the mcp-server-pixeltable-developer Python package.
★not rated 6 todayA
tokens not measured
originalApache-2.0
AI/LLM development toolkit - 16 skills, 1 agent, 25 commands for AI-native development patterns.
★not rated 6 1mo agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: