Description
Scritty is a powerful terminal emulator that consolidates conversations from multiple CLI AI agents into one searchable, locally stored memory, enhancing productivity and privacy. Ideal for developers and AI professionals, it offers seamless cross-device sync and federated control, making AI interactions more unified and secure.
Scritty is a specialized terminal emulator designed to unify and enhance the experience of interacting with multiple command-line interface (CLI) AI agents. Its core purpose is to capture every conversation and interaction with AI agents such as Claude, OpenAI Codex, GitHub Copilot, Antigravity, and Ollama, then index all these exchanges into a single, searchable corpus that the user fully controls. This approach eliminates the fragmentation typically caused by vendor-specific silos and manual copy-pasting, providing a seamless and persistent memory that spans across different AI agents and devices. By serving this indexed memory back to both the AI agents via the Memory Control Protocol (MCP) and to users through the CLI, scritty creates a powerful feedback loop that enhances the productivity and contextual awareness of AI-assisted workflows. Key features of scritty include its agent-agnostic capture mechanism that detects and tags conversations by provider, ensuring that all interactions are accurately recorded and indexed. This unified corpus is searchable, enabling users to quickly retrieve past conversations and insights without switching contexts or platforms. Scritty supports multiple AI agents out of the box, including Claude Code, OpenAI Codex CLI, GitHub Copilot CLI, Antigravity CLI, Aider, and Ollama, making it highly versatile for developers and AI enthusiasts who work with diverse AI tools. The tool also offers seamless session continuity across desktop, browser, and mobile environments, allowing users to maintain a consistent workflow regardless of device. Importantly, all data remains local on the user's machine, ensuring privacy and security with no reliance on external vendor storage. Additional advanced capabilities include a federated operator control plane that provides per-tenant isolation and audit-logged administrative overrides, which is particularly valuable for organizational deployments. Offline support with local Ollama models further extends usability in environments with limited or no internet connectivity. Scritty is best suited for developers, AI researchers, and technical professionals who regularly interact with multiple AI agents via the command line and require a unified, searchable memory to improve efficiency and collaboration. Use cases include software development projects where multiple AI coding assistants are leveraged, research environments that involve iterative querying and knowledge accumulation, and teams needing secure, auditable control over AI interactions. Its ability to synchronize memory across devices and platforms also makes it ideal for users who switch between desktop, browser, and mobile contexts frequently. Regarding pricing, scritty offers multiple plans with prices ranging from $19.99 to $2500 USD, catering to different user needs from individual developers to enterprise-level deployments. While detailed plan features are not specified here, the range suggests options for personal use, professional subscriptions, and organizational licenses with enhanced control and support. Compared to alternatives, scritty stands out by focusing on a unified, agent-agnostic memory system that integrates multiple CLI AI agents into one searchable corpus, rather than siloed or single-agent solutions. Its local-first data approach ensures privacy and control, contrasting with cloud-dependent tools. The inclusion of a federated control plane and offline capabilities further differentiates it from competitors that may lack enterprise-grade controls or offline support. Potential limitations include the learning curve associated with integrating multiple AI agents and managing a federated control plane, which might be complex for casual users. Additionally, while scritty supports several popular AI agents, users relying on less common or proprietary agents might face compatibility issues. The reliance on local storage, while a privacy benefit, may require users to manage their own backups and data security practices. Lastly, pricing at the higher end may be a consideration for smaller teams or individual users with limited budgets. Overall, scritty offers a robust, privacy-conscious solution for users seeking to consolidate and leverage AI agent interactions across multiple platforms and devices, making it a compelling choice for advanced AI-assisted development and research workflows.
Tool Features
- Captures every CLI AI agent's conversation
- Indexes conversations into one searchable corpus
- Supports multiple AI agents including Claude, Codex, Copilot, Antigravity, and Ollama
- Serves memory back to agents over MCP and to users over CLI
- One session across desktop, browser, and mobile
- Data stays on your machine with no vendor silos
- Federated operator control plane with per-tenant isolation and audit-logged admin overrides
- Offline support with local Ollama models
Description
Scritty is a powerful terminal emulator that consolidates conversations from multiple CLI AI agents into one searchable, locally stored memory, enhancing productivity and privacy. Ideal for developers and AI professionals, it offers seamless cross-device sync and federated control, making AI interactions more unified and secure.
Scritty is a specialized terminal emulator designed to unify and enhance the experience of interacting with multiple command-line interface (CLI) AI agents. Its core purpose is to capture every conversation and interaction with AI agents such as Claude, OpenAI Codex, GitHub Copilot, Antigravity, and Ollama, then index all these exchanges into a single, searchable corpus that the user fully controls. This approach eliminates the fragmentation typically caused by vendor-specific silos and manual copy-pasting, providing a seamless and persistent memory that spans across different AI agents and devices. By serving this indexed memory back to both the AI agents via the Memory Control Protocol (MCP) and to users through the CLI, scritty creates a powerful feedback loop that enhances the productivity and contextual awareness of AI-assisted workflows. Key features of scritty include its agent-agnostic capture mechanism that detects and tags conversations by provider, ensuring that all interactions are accurately recorded and indexed. This unified corpus is searchable, enabling users to quickly retrieve past conversations and insights without switching contexts or platforms. Scritty supports multiple AI agents out of the box, including Claude Code, OpenAI Codex CLI, GitHub Copilot CLI, Antigravity CLI, Aider, and Ollama, making it highly versatile for developers and AI enthusiasts who work with diverse AI tools. The tool also offers seamless session continuity across desktop, browser, and mobile environments, allowing users to maintain a consistent workflow regardless of device. Importantly, all data remains local on the user's machine, ensuring privacy and security with no reliance on external vendor storage. Additional advanced capabilities include a federated operator control plane that provides per-tenant isolation and audit-logged administrative overrides, which is particularly valuable for organizational deployments. Offline support with local Ollama models further extends usability in environments with limited or no internet connectivity. Scritty is best suited for developers, AI researchers, and technical professionals who regularly interact with multiple AI agents via the command line and require a unified, searchable memory to improve efficiency and collaboration. Use cases include software development projects where multiple AI coding assistants are leveraged, research environments that involve iterative querying and knowledge accumulation, and teams needing secure, auditable control over AI interactions. Its ability to synchronize memory across devices and platforms also makes it ideal for users who switch between desktop, browser, and mobile contexts frequently. Regarding pricing, scritty offers multiple plans with prices ranging from $19.99 to $2500 USD, catering to different user needs from individual developers to enterprise-level deployments. While detailed plan features are not specified here, the range suggests options for personal use, professional subscriptions, and organizational licenses with enhanced control and support. Compared to alternatives, scritty stands out by focusing on a unified, agent-agnostic memory system that integrates multiple CLI AI agents into one searchable corpus, rather than siloed or single-agent solutions. Its local-first data approach ensures privacy and control, contrasting with cloud-dependent tools. The inclusion of a federated control plane and offline capabilities further differentiates it from competitors that may lack enterprise-grade controls or offline support. Potential limitations include the learning curve associated with integrating multiple AI agents and managing a federated control plane, which might be complex for casual users. Additionally, while scritty supports several popular AI agents, users relying on less common or proprietary agents might face compatibility issues. The reliance on local storage, while a privacy benefit, may require users to manage their own backups and data security practices. Lastly, pricing at the higher end may be a consideration for smaller teams or individual users with limited budgets. Overall, scritty offers a robust, privacy-conscious solution for users seeking to consolidate and leverage AI agent interactions across multiple platforms and devices, making it a compelling choice for advanced AI-assisted development and research workflows.
Frequently Asked Questions
What is scritty?
Scritty is a terminal emulator that captures and indexes every conversation with multiple CLI AI agents into a single searchable memory you control locally. It supports agents like Claude, Codex, Copilot, Antigravity, and Ollama, providing unified access and memory sharing across desktop, browser, and mobile.
How much does scritty cost?
Scritty offers multiple pricing plans ranging from $19.99 to $2500 USD, designed to accommodate individual developers, professionals, and enterprise users. Specific plan details and features can be found on their website or by contacting their sales team.
Who is scritty best for?
Scritty is best suited for developers, AI researchers, and technical professionals who use multiple CLI AI agents and need a unified, searchable memory to improve workflow efficiency, collaboration, and data privacy across devices.
What are the main features of scritty?
Key features include capturing every CLI AI agent conversation, indexing them into one searchable corpus, supporting multiple AI agents, serving memory back to agents over MCP and users over CLI, cross-device session continuity, local data storage with no vendor silos, federated operator control with audit logs, and offline support with local Ollama models.
Does scritty offer a free trial?
Yes, scritty provides a free 14-day Personal Pilot trial to allow users to experience its core features before committing to a paid plan.
What integrations does scritty support?
Scritty supports multiple CLI AI agents including Claude Code, OpenAI Codex CLI, GitHub Copilot CLI, Antigravity CLI, Aider, and Ollama, enabling a broad range of AI-assisted workflows.
How does scritty work?
Scritty runs as a terminal emulator that detects the AI agent in use, captures all interactions, tags them by provider, and indexes the data into a unified, searchable corpus stored locally. It then serves this memory back to AI agents over MCP and to users via the CLI, syncing sessions across desktop, browser, and mobile devices.
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