Provides a secure, constrained filesystem workspace for LLM agents to manage files, notes, and code artifacts via stdio or remote HTTP. It features granular access controls, including extension whitelisting, storage quotas, and immutable paths for safe automated file operations.
Provides secure, sandboxed file system access for AI assistants to read, write, and manage project files with controlled command execution capabilities, all confined to a designated workspace directory.
Enables AI agents to safely read and write files in a sandboxed workspace via natural language, with on-demand connection, CVE-hardened path confinement, injection resistance, and full audit logging.
Provides secure, sandboxed filesystem operations including reading, writing, listing, searching, and managing files and directories within a configurable working directory with strict security controls.
Provides sandboxed access to local filesystem operations including directory and file management, content search with glob and regex patterns, and binary file support with configurable safety limits.
Enables AI agents to develop within a local project workspace by reading and modifying files, running commands and tests, checking Git state, and persisting progress as history sessions that can be restored in later conversations.
