Provides AI coding agents with persistent memory inside an Obsidian vault—preserving session context, decisions, and notes across sessions. Integrates hooks/commands for Claude Code, Codex CLI, and Gemini CLI and optionally uses QMD for semantic recall; aimed at developer workflows.
Encodes product-management frameworks into reusable AI skills and slash-commands — 100+ skills across 9 plugins and chained workflows (e.g., /discover, /write-prd) that integrate with Claude Code/Cowork and other assistants to guide discovery, strategy, execution, and shipping.
Orchestrates teams of AI agents to pursue company goals: hire agents, assign tasks, enforce budgets, and audit work from a single dashboard. Combines org charts, persistent agent state, heartbeat scheduling, approval gates and cost controls for long-running autonomous workflows.
Convenes 18 deliberately polarized AI personas to produce structured, multi-round deliberations on hard questions across multiple LLM providers. Key features: multi-provider auto-routing, enforced dissent/novelty rules, triad/panel modes and CLI integration for Claude Code/Codex. Good for high-stakes product, strategy, or safety decisions.
Performs deterministic, sub-millisecond policy checks on every agent action (allow/deny + audit) and adds zero-trust identity, execution sandboxing, and SRE features. Covers the OWASP Agentic Top 10 and is designed to sit between agent frameworks and runtime actions for auditable, low-latency governance in production.
A curated collection of Codex plugin examples demonstrating plugin manifests, companion surfaces (skills, hooks, assets), and sample integrations. Highlights richer, opinionated examples for Figma, Notion, iOS/macOS/web builds and MCP-backed bundles — useful for prototyping assistant plugins.
Primes Claude with drop-in SKILL.md files that encode concise offensive-security methodology across 78 skills in 23 categories, enabling Claude to act as a context-aware red team operator. Intended for authorized red team engagements, bug-bounty triage, security research and CTF practice.
Aggregates 60+ real-time OSINT feeds into a self-hosted geospatial dashboard and exposes an HMAC-signed agentic AI command channel so LLM-driven agents can query and act on live telemetry; privacy is experimental.
Provides a rule set and agent skill that lets AI coding assistants review and improve SwiftUI code for modern APIs, performance, accessibility, and maintainability. Packs checks for deprecated APIs, data flow, navigation, and accessibility tailored to mistakes LLMs commonly make.
Lets an LLM autonomously propose, edit, run, and evaluate short single‑GPU LLM training experiments — fixed 5‑minute runs (~12 experiments/hour). Agent edits a single train.py; humans supply goals via program.md. Single‑GPU, val_bpb metric.
A self-hostable workspace where humans and AI agents collaborate in shared rooms, using a Nostr-based signed event log to unify chat, workflows and git events. Agents act as members with their own keys and audit trails, enabling scoped agent actions without shared secrets.
Runs locally to learn your tastes and proactively discover content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit and the open web. Local-first agent storing data in a local SQLite, with a browser extension, optional desktop backend bundling embeddings (bge-m3/Ollama), and conversational feedback to refine recommendations.