v0.6.0 · Apache 2.0
Enables AI coding agents to maintain lossless, queryable long-term project memory through local SQLite storage, bi-temporal history, hybrid retrieval, and Git-backed Markdown mirrors, exposed via MCP tools and resources.
v1.0.0 · MIT License
Enables users to connect ChatGPT or remote MCP clients to their own Garmin cloud health and activity data through a self-hosted, read-only OAuth-protected Cloudflare Worker.
v0.1.0 · MIT License
Enables MCP clients to create and control persistent, PTY-backed terminal sessions on macOS: launch commands and interactive programs, read output incrementally via byte cursors, send keystrokes, wait on conditions, and detect running/awaiting-input/exited states. Sessions run inside a Seatbelt sandbox with command policies, human approvals, secret redaction, and hash-chained audit logging.
v1.3.1 · Apache 2.0
Turns a Termix server into a remote MCP endpoint where Claude Desktop and other clients can sign in with an API key to access hosts, a vault of logins, passwords, API keys, notes, TOTP codes, and integrations with monitoring, ticketing, and code services.
— · Apache 2.0
ChannelTerm is an open-source MCP server that enables humans and AI agents to share live serial and SSH terminal sessions for embedded systems development and debugging. It allows AI agents to read device output, execute commands, assist with GDB debugging, and transfer files while keeping developers in control.
— · MIT License
Enables AI clients to preview, search, read, create, update, schedule, and unschedule Garmin Connect workouts using a local Garmin session, with guarded writes and a limited tool set. Supports running, cycling, cardio, and strength workouts without exposing generic API, filesystem, or shell access.
— · MIT License
Enables local synchronization of Garmin activity and health data using a personal API key, then lets MCP-connected AI clients analyze training readiness and recovery with cited models and research. Supports viewing records, sleep/HRV, stress, Body Battery, and generating pre-run recommendations without hosting accounts or personal data.