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Terminal emulator capturing and indexing multi-agent conversations into unified searchable memory.
Intercepts CLI process execution to capture and tag interaction streams across multiple AI coding agents. Indexes developer and agent conversations into an encrypted on-device local vector store. Exposes searchable historical memory to connected LLMs through a standardized local Model Context Protocol server. Injects global user rules dynamically into every agent message via terminal-level prompt configuration.
Terminal-level capture abstracts memory retention away from individual proprietary agent vendor silos. Local-first vector indexing ensures zero cloud data leakage while enabling fast offline hybrid search. Standardized MCP server integration allows replacement or rotation of LLM providers without losing history. On-device XChaCha20 encryption with passphrase locking protects stored terminal credentials from third-party reads.
Category: AI & Automation
Team Size: 1
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scritty is a local-first terminal emulator designed for developers running command-line AI coding agents like Claude Code, Codex, Copilot, and Ollama. By intercepting interaction streams at the process level, scritty automatically captures agent exchanges and indexes them into a unified local vector database. The platform exposes this persistent history back to agents via Model Context Protocol (MCP) and to human operators through a dedicated CLI. This prevents context loss when switching between tools or hitting rate limits.
scritty was created in 2026 by an indie developer operating as scritty-dev. After repeatedly encountering context loss and token wastage when switching between CLI agents like Claude Code, Copilot, and Codex due to provider rate limits, the founder built a custom terminal emulator. The tool was designed to sit beneath the process layer, capturing session histories and turning them into an encrypted, vendor-agnostic local knowledge base.
