Fitbod
Hevy
Strong.app
MyFitnessPal
Strava
Freeletics
JEFIT
SHRED
ContextForge.dev
Agentmemory
OpenMemory MCP
ContextForge is persistent, searchable memory for AI coding agents โ built on the Model Context Protocol (MCP).
Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client recalls it later with semantic search โ across sessions and across projects.
Works with: Claude Code, Claude Desktop, Cursor, GitHub Copilot, ChatGPT, and Windsurf.
Fitbod ContextForge.devContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once โ Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf โ not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing โ all through a single MCP server you add with one command.
ContextForge.dev's answer:
Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants โ Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf โ and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.
ContextForge.dev's answer:
ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol โ so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.
ContextForge.dev's answer:
Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.
Based on our record, Fitbod seems to be more popular. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not saying it works for everyone, but the system I have worked out for myself is strength training 3-5 days/week during my lunch break at work. I have an hour lunch, so I can usually work in about 30 min of exercise, and I eat at my desk after. I use fitbod to generate workouts for me. It's not perfect, but I can easily change the workout based on what I'm feeling. It also keeps track of your workouts and can post... Source: about 3 years ago
I've started using a new fitness app, Fitbod (https://fitbod.me/). I've only logged a couple workouts so far but am a pretty big fan of the app right away. My favorite thing is that I can set up multiple "gyms" in the app and define what each equipment has in it (my crappy station gym vs my decent home gym vs the local commercial gym I go to) and have it auto-generate workouts for me. It's smart enough to know... Source: about 3 years ago
Now I workout at home and I use Fitbod thatโs almost like a virtual personal trainer. You could try the free trial while you find a trainer. Source: over 3 years ago
I really liked FitBod. It's $79.99/year. You can select the equipment available to you, and the app will generate the relevant workouts, adapting over time. Source: over 3 years ago
For what itโs worth, Iโll mention what works for me. I have no interest in any companies or products mentioned below other than using them and finding them useful. Iโve weight-trained for decades and switched up my routine during the pandemic. I have only a small room available at home for this, which I also use as an office and music studio. So, not a lot of space. I bought a pair of Bowflex SelectTech 552s... - Source: Hacker News / over 3 years ago
Hevy - Simple workout logging, insightful analytics, and a growing community of gym athletes.
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
Strong.app - Strenght training logger.
OpenMemory MCP - Your private, local memory layer for all AI tools
MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.
Strava - The #1 app for runners and cyclists