— · MIT
A multi-agent application-security review harness for Claude Code (and, later, other AI agents). One router skill dispatches to a full offensive-security pipeline that maps a codebase, hunts vulnerabilities with a per-class knowledge base, chains findings into escalations, verifies real impact, and reports to README/JSON/SARIF/doc/PDF.
— · no license
Claude Code plugin for Divi 5 development (current: Divi 5.13). Slash commands and agents for selector lookup, CSS generation and validation, page-section scaffolding, project CSS audits, responsive, accessibility and Core Web Vitals checks, error diagnosis, and a self-refreshing Divi knowledge base.
— · MIT
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
— · no license
Brewcode - full-featured development platform for Claude Code: infinite focus tasks with automatic context handoff, prompt optimization, skill/agent creation, quorum code reviews, project rules management, and knowledge persistence
— · FSL-1.1-MIT
Extension manager for AI coding agents — install skills, subagents, MCP servers, rules, hooks, knowledge, and packs across Claude Code, Codex, Cursor, Copilot, and more.
v1.1.9 · MIT
Team memory sharing for claude-mem — sync AI memories across developers, with Claude Code plugin, github action and knowledge distillation
v1.0.0 · MIT
Supercharge your AI agents by versioning, tracking, and merging overlapping skills.
— · no license
Turn DeepSeek Harness into a self-hosted enterprise Agent platform with knowledge, deep research, content generation, vibe coding, browser automation, governance, and admin controls.
— · no license
A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.
— · Apache-2.0
Cross-platform toolkit to enhance Claude Code with multi-LLM consensus, 8 specialist agents, semantic knowledge search, and one-command install.