Cockpit AI
AIAn operating system for autonomous AI agents with a native file system, persistent memory, and cloud orchestration.
-(0 Reviews)
Paid
See pricing details
Cockpit AI
AI
An operating system for autonomous AI agents with a native file system, persistent memory, and cloud orchestration.
-(0 Reviews)
Paid
See pricing details
About Cockpit AI
Cockpit AI is an operating system designed to run and coordinate autonomous AI agents. It provides a native file system and persistent (infinite) memory so agents can retain long-term context, plus cloud orchestration to run, scale, and schedule agent tasks. Agents can perform end-to-end workflows such as researching topics, drafting and sending outreach, and managing follow-ups while the platform keeps humans in control through oversight and intervention capabilities.
Screenshots
+
Key Features
Native File System: A built-in file system for agents to store, access, and manage documents, datasets, and artifacts centrally, enabling consistent file access across agent workflows.
Infinite Memory: Persistent long-term memory that allows agents to retain context across sessions and tasks, improving continuity for multi-step workflows and follow-ups.
Cloud Orchestration: Tools to run, scale, and schedule agents in the cloud, enabling concurrent workflows, resource management, and reliable execution of distributed agent tasks.
Autonomous Research & Writing Agents: Agents that can autonomously research topics, synthesize findings, and generate written outputs such as reports, messages, or content drafts.
Outreach & Follow-up Automation: Capabilities for agents to compose, send, and manage outreach sequences and follow-ups, automating recurring communication workflows while preserving human oversight.
Human-in-the-Loop Control: Oversight features that let users monitor, approve, or intervene in agent actions to maintain control over automated tasks and outputs.
Workflow Persistence: Support for ongoing, multi-step workflows where agents remember prior steps, decisions, and context to continue complex tasks without reinitialization.
Native file system for agents to read/write and persist files
Persistent/infinite memory to retain knowledge across agent runs
Cloud orchestration for deploying and scaling agents
Agent capabilities for research, writing, sending (outreach), and follow-ups
User control and oversight of agent actions and workflows
Support for multi-step, stateful agent workflows
Use Cases
Automated Research Summaries: Agents continuously gather and summarize research on a topic, maintaining cumulative memory so summaries improve over time.
Sales Outreach Automation: Create, send, and manage multi-step outreach and follow-up sequences where agents personalize messages and track responses.
Content Production Pipelines: Agents draft, revise, and assemble articles or reports using persistent memory and files stored in the native filesystem for reuse and consistency.
Customer Follow-up Workflows: Automate follow-ups and status checks for customers or leads, with agents using memory to avoid repetitive or contradictory messaging.
Scaled Agent Deployment: Orchestrate many agents in the cloud to run parallel research or outreach campaigns while managing resources and scheduling.
Knowledge Base Maintenance: Continuously update and curate a centralized file-based knowledge repository as agents ingest new information and write structured entries.
Autonomous research agents that collect, store, and synthesize information over time
Automated outreach and follow-up workflows (email/messaging automation)
Content generation pipelines that require persistent context and file outputs
Orchestrating multiple agents for complex, stateful tasks in the cloud
Managed agent-based automation for business processes with retained memory
