AutomatosX orchestrates AI agents, workflows, and memory for operations teams. It enables automation of complex tasks by coordinating multiple AI agents, connecting to developer tools like Claude, and managing workflows. Ideal for streamlining operations and enhancing productivity.
git clone https://github.com/defai-digital/AutomatosX.gitAutomatosX enhances AI coding assistants like Claude, Gemini, and Codex with 80+ specialized tools through Model Context Protocol (MCP). It provides 28 pre-built agents covering fullstack development, security, DevOps, and ML engineering, enabling developers to automate complex tasks and coordinate multiple AI perspectives. The platform includes code review with security and performance focus, persistent memory across sessions, governance gates for AI-generated code, and execution tracing for full audit trails. Teams benefit from multi-model discussions, workflow engines with retry logic and guard policies, and SQLite-backed state management. Installation requires three commands, after which all tools integrate seamlessly into your AI CLI environment.
["Define the task: Clearly specify the automation goal, including inputs, outputs, and any constraints (e.g., 'Automate weekly sales reports from CRM data').","Identify tools/agents: List the AI agents, APIs, or developer tools required (e.g., 'Use a data extraction agent for Salesforce, a cleaning agent for duplicates, and a visualization tool like Tableau').","Set dependencies: Note any prerequisites (e.g., 'Ensure API keys are valid for Google Analytics and HubSpot').","Deploy the orchestration: Paste the prompt template into AutomatosX, fill in [TASK_DESCRIPTION], [TOOLS_LIST], and any other placeholders, then execute.","Monitor and refine: Review the output logs and adjust the workflow if errors occur (e.g., 'Add a retry mechanism for API failures')."]
Get multi-model AI consensus on architectural decisions (REST vs GraphQL, caching strategies)
Automated code review with security and performance focus areas
Delegate complex tasks to specialized agents (security, DevOps, fullstack)
Enforce governance policies on AI-generated code changes
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/defai-digital/AutomatosXCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as an AutomatosX orchestrator to automate the following task: [TASK_DESCRIPTION]. Coordinate the necessary AI agents, tools, and workflows to complete this task efficiently. Ensure all steps are logged and dependencies are managed. Report the final output in a structured format. Use the following tools if needed: [TOOLS_LIST].
### AutomatosX Orchestration Report **Task:** Automate the generation of a weekly performance dashboard for the marketing team by aggregating data from Google Analytics, HubSpot, and Salesforce, then generating a visual report in Google Data Studio. **Coordinated Agents & Tools:** 1. **Data Aggregator Agent:** Pulled metrics from Google Analytics (sessions, bounce rate), HubSpot (lead conversions), and Salesforce (pipeline value). 2. **Data Cleaner Agent:** Standardized date formats and removed duplicate entries. 3. **Report Generator Agent:** Created a Google Data Studio dashboard with pre-configured templates and auto-refreshing data sources. 4. **Notifier Agent:** Sent a Slack message to #marketing-alerts with a link to the dashboard and key metrics summary. **Dependencies Managed:** - API rate limits were monitored to avoid throttling. - Data freshness was validated (all sources updated within the last 24 hours). - Permissions were auto-granted for shared access to the dashboard. **Final Output:** - **Dashboard Link:** https://datastudio.google.com/reporting/12345abcde - **Key Metrics:** - Total Sessions: 12,450 (+8% WoW) - Lead Conversions: 245 (+12% WoW) - Pipeline Value: $1.2M (+5% WoW) - **Next Steps:** Schedule a review meeting to discuss trends in the #marketing-team channel. **Logs:** - Data aggregation completed in 4.2 minutes. - Dashboard generation triggered at 9:15 AM UTC. - No errors detected.
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