Desktop app for managing markdown-based knowledge bases with a files-first, git-first workflow. Works offline, uses plain markdown + YAML frontmatter for portability, and includes AI-agent integrations and agent configuration to organize context, memory, and procedures for assistants.
Lets any LLM operate a ComfyUI instance: generate and iterate images/video/audio, manage models and custom nodes, and edit the live graph in natural language. Local-first control plane with a sidebar agent, multi-provider LLM support, and installer packs for ready workflows.
Provides a workspace-first, Kanban-backed multi-agent coordination platform that routes goals through specialist lanes (Backlog→Todo→Dev→Review→Done), enforces evidence-based review gates and traces, and runs on both web and desktop runtimes.
Provides a set of task-focused agent “skills” — small folders of instructions that teach agents how to perform common Flutter development workflows (integration tests, widget previews, routing, localization). Maintained by the Flutter team to reduce mistakes and make repeatable dev tasks reliable.
Builds a local structural knowledge graph of a codebase so AI coding assistants read only the minimal, relevant code during reviews and daily tasks—reducing tokens used while providing blast-radius impact analysis, incremental updates, and MCP integrations.
Provides an MCP server and agent skills so AI agents can run keyword research, inspect SERPs, compare domains, and manage backlinks using your DataForSEO data. Self‑hostable TypeScript project with an optional hosted UI (openseo.so) and pay‑as‑you‑go data usage.
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.
Real-time monitoring and control dashboard for Claude Code agents — tracks sessions, agent/subagent activity, tool calls, and live analytics. Local-first integration via Claude Code hooks, with Kanban/status board, MCP tool catalog, and web/desktop clients.
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.
A 23-skill Claude Code toolkit that composes an LLM-driven virtual engineering team (CEO, designer, eng manager, QA, security, release) into slash-command workflows — includes real-browser QA, a persistent GBrain memory, multi-agent integrations, and team auto-update semantics.
A read-only mirror of Anthropic's community plugin marketplace for Claude Cowork and Claude Code, listing vetted third-party plugins in a nightly-synced marketplace.json. Intended for discovering and installing community plugins via the Claude plugin system.
Provides a local-first desktop workspace that runs and coordinates AI agents across your files, browser, and third-party tools with a shared, editable memory. Offers built-in models or bring-your-own-keys, one-click OAuth to 100+ integrations, and browser-driven agent automation.