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Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
npx n8nFair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
npx n8nThe agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
git clone https://github.com/affaan-m/everything-claude-code.gitAn open-source AI agent that brings the power of Gemini directly into your terminal.
npx @google/gemini-cliSimplify AI usage in your company, providing user-friendly MCP toolbox, observability and control built on a strong security foundation.
For Platform teams:
For Developers:
For Management:
docker pull archestra/platform:latest;
docker run -p 9000:9000 -p 3000:3000 \
-e ARCHESTRA_QUICKSTART=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v archestra-postgres-data:/var/lib/postgresql/data \
-v archestra-app-data:/app/data \
archestra/platform;
๐ with private company-wide prompt registry!
Add MCPs to your private registry to share them with your team: self-hosted and remote, self-built and third-party.
Learn more about Private MCP Registry โ
Run MCP servers in kubernetes, managing their state, API keys, OAuth.
Learn more about MCP Orchestrator โ
Isolating dangerous tool responses from the main agent to prevent prompt injections.
Models could consume prompt injections via MCP uncontrollably (read your inbox, read your GitHub issues, read your customer's inquiries) and follow them resulting in data exfiltration.
Learn more about Dynamic Tools โ | The Lethal Trifecta โ
Live demo of archestra security engine preventing data leak from the private GitHub repo to the public repo:

Read more: Simon Willison, The Economist
Examples of hacks: ChatGPTย (April 2023),ย ChatGPT Pluginsย (May 2023),ย Google Bardย (November 2023),ย Writer.comย (December 2023),ย Amazon Qย (January 2024),ย Google NotebookLMย (April 2024),ย GitHub Copilot Chatย (June 2024),ย Google AI Studioย (August 2024),ย Microsoft Copilotย (August 2024),ย Slackย (August 2024),ย Mistral Le Chatย (October 2024),ย xAI's Grokย (December 2024),ย ย (December 2024),ย ย (February 2025), (September 2024).
Per-team, per-agent or per-org cost monitoring and limitations. Dynamic optimizer allows to reduce cost up to 96% by simply switching to cheaper models automatically for simpler tasks.
Learn more about Costs & Limits โ
Metrics, traces and logs allowing to come to a conclusion about per-org, per-agent and per-team token and tool usage, and performance.
Learn more about Observability โ
We welcome contributions from the community!
Thank you for contributing and continuously making Archestra better, you're awesome ๐ซถ