Entwickler-Tools
serena
An MCP toolkit that gives coding agents IDE-grade semantic retrieval, editing and refactoring
★ 30,1 Tsd. SterneGPL-3.0
Anleitung ansehen →superset ist ein Open-Source-Projekt aus der Kategorie Entwickler-Tools von superset-sh (superset-sh/superset auf GitHub). Es hat 14.999 Sterne auf GitHub und 1.336 Forks, wird unter der Lizenz Elastic License 2.0 veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
Agentic IDE that runs 100+ parallel coding agents in isolated workspaces on your own subscriptions.
Download the macOS build (or the experimental Linux AppImage); all you need on your machine is Git, with the GitHub CLI optional for PR workflows.
Open a local repository in Superset or clone one into it.
Start a workspace, choose your CLI agent (Claude Code, Codex, OpenCode, Cursor Agent and many more), and describe a small change.
Inspect the patch in Changes, run tests, preview the app in the browser pane, then commit and push when it is ready.
Every task runs in its own Git worktree with its own branch and terminals, so agents work independently and you review each result before merging.
Use Claude Code, Codex, OpenCode, Cursor Agent, Gemini CLI, Copilot, Devin and many other CLI agents - any other CLI agent works without configuration.
Inspect, comment on and edit agent changes without leaving the app, then commit and push when ready.
Preview running dev servers in a browser pane with ports detected per workspace, and use Design mode to send element-level UI change requests to an agent.
Track every agent from the sidebar with working indicators, completion chimes and dock badges when one needs your attention.
Schedule recurring agent sessions, reach workspaces from another machine or iPhone, and drive everything from the bundled CLI, TypeScript SDK or MCP server.
Clone Superset if you want to develop on it; to simply use it, download the desktop app from the releases page instead.
git clone https://github.com/superset-sh/superset.git
cd supersetInstall the Superset CLI on its own - it also comes bundled with the desktop app.
curl -fsSL https://superset.sh/cli/install.sh | shOn macOS you can install the CLI with Homebrew instead of the shell installer.
brew install superset-sh/tap/supersetSuperset is built by superset-sh (the Superset team) with open-source contributors.
The desktop app is free forever for running agents in parallel on your own machine, and the code is available under the Elastic License 2.0. The README notes mobile requires Superset Pro, and optional paid services may exist on top.
You run agents with your own subscriptions - the tagline is 'run any agent with your own subscription' - so you need an existing Claude Code, Codex or similar agent account rather than a Superset API key.
Cursor is an editor with a built-in agent; Superset is an orchestration workspace that runs many external CLI agents in parallel worktrees with unified review, monitoring and previews.
Download the app, add a repository, create a workspace, pick your agent, and describe a small first change.
An MCP toolkit that gives coding agents IDE-grade semantic retrieval, editing and refactoring
The agent development environment for running a fleet of parallel coding agents in worktrees
A kanban board for coding agents — plan tasks, run Claude Code or Codex in parallel, review diffs
Local-first healthcare AI: clinical NER and HIPAA PII de-identification that runs 100% on-device.
All-in-one open-source backend for agentic coding: database, auth, storage, hosting and AI gateway.
Source control for agents — run coding agents side by side, track changes and query their history.
Die anderen Projekte der Kategorie Entwickler-Tools mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls superset nicht das Richtige ist.
The open source coding agent
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Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Verwandte Projekte der Kategorie Entwickler-Tools im Katalog, die superset bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Turn domain documents into high-quality LLM fine-tuning, RAG and evaluation datasets through a visual UI.
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Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu/Lark, DingTalk, Slack, Telegram, Discord, LINE, WeChat …
20+ high-performance LLMs implemented from scratch, with proven recipes to pretrain, finetune and deploy.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.