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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
entropy-box
Entropy Box knowledge-compiler for embodied-AI: turns bounded requirements into grounded workflows via Solution Consult, Search, Lookup, and Evidence. Do not use it to control physical robots.
using-lwc
Use when project decisions, code structure, research, incidents, or verified context must survive future coding-agent sessions through LWC memory and graph indexes.
schema-markup
Structured data implementation, validation, and optimization. Covers JSON-LD patterns for 20+ schema types, rich snippet eligibility, AI search visibility, Knowledge Graph optimization, and CMS-specif
modeling-threats-with-opencti
Deploy OpenCTI (Filigran) via Docker Compose and use the pycti Python client to model threat actors, intrusion sets, campaigns, and indicators as a STIX 2.1 knowledge graph with relationships (uses, a
graphify
Drive Graphify from its CLI to build, refresh, query, export, and serve a durable code/corpus knowledge graph. Use when the user wants `.graphify/GRAPH_REPORT.md`, `graph.json`, `graph.html`, `graphif
okf
Create, validate, and consume Google's Open Knowledge Format (OKF) bundles — YAML-frontmatter Markdown files with type / title / description / resource / tags / timestamp fields for portable, interope
gitnexus
Build client-side code knowledge graphs with built-in Graph RAG for code exploration. Use when: analyzing large codebases in the browser, building zero-server code intelligence tools, creating interac
understand-chat
Answer questions about any codebase using an AI-generated knowledge graph. Use when: asking architecture questions about a project, understanding how specific features work, exploring codebase relatio
understand-dashboard
Launch an interactive web dashboard to visualize a codebase as a knowledge graph. Use when: exploring project architecture visually, seeing file/function dependencies, understanding code structure at
understand-diff
Analyze git diffs and PRs using the codebase knowledge graph to understand impact and risk. Use when: reviewing pull requests, understanding what a diff actually changes, assessing risk of a code chan
understand-explain
Get a deep-dive explanation of any file, function, or module using the codebase knowledge graph. Use when: understanding unfamiliar code, explaining how a feature is implemented, learning a legacy cod
understand-onboard
Generate a comprehensive onboarding guide for new developers joining a project, based on the codebase knowledge graph. Use when: onboarding new team members, creating developer documentation, ramping
brainctl
Unified agent memory CLI — read, write, search, and maintain the shared memory spine (brain.db). Use for persistent cross-session memory, knowledge graph, event logging, decisions, affect tracking, an
open-ontologies
AI-native ontology engineering using 50+ MCP tools backed by an in-memory Oxigraph triple store. Build, validate, query, and govern RDF/OWL ontologies with a generate-validate-iterate loop. Use when b
obsidian-ontology-sync
Bidirectional sync between Obsidian PKM (human-friendly notes) and structured ontology (machine-queryable graph). Automatically extracts entities and relationships from markdown, maintains ontology gr
agent-recall
Persistent compounding memory for AI agents. 5 default MCP tools: session_start, session_end, remember, recall, check. Full surface (18 tools) available with --full flag. Two-verb model: inhale (sessi
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Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
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Prefer the terminal? osr stack apply registry://starter installs the starter template.