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FMT-exocortex-template TserenTserenov/FMT-exocortex-template

Exocortex template: fork & deploy your AI-powered personal knowledge system with Claude Code

HEALTH 98 / Healthy
// solo builder// hidden gem// release machine// fork magnet agentic-workflowsai-agentsai-second-brainanthropic-claudeclaude-codeclaude-pluginexocortexknowledge-managementopen-sourcepersonal-knowledge-management

// readme

IWE — Intellectual Work Environment

Operating system for intellectual work. Your knowledge. Your experience. Your environment — runs on top of any AI platform.

Repository type: Base/Formats (FMT) — template distribution. After forking, it becomes your personal environment with AI agents.


Problem

AI assistants can generate text, code, and answers. But most users face the same problems:

  • Context gets lost. Every new session with AI starts from scratch. Yesterday’s decisions, plans, and agreements are forgotten.
  • Knowledge stays in your head. You took a course, read a book, solved a problem — but a month later you can’t reproduce the line of thinking.
  • AI replaces thinking instead of amplifying it. You get an answer, but you don’t become more competent. Without AI — back to zero.
  • No system. Plans are in notes, tasks are in your head, knowledge is in chats. Everything is scattered.
  • Time leaks away. It’s unclear what you worked on, what you accomplished, where you’re heading.

Solution: IDE, but for thinking

IWE (Intellectual Work Environment) — an intellectual work environment.

Just as an IDE combines an editor,…

↑ The Undervalued Score +

How much a project earns versus how much attention it actually gets. Above 50 means the work is outrunning its audience. Recomputed nightly from commit velocity, contributor effort, issue resolution, fork utility, release cadence, and project maturity — divided by a logarithmic reach factor.

score  = signal / reach

signal = 0.25·commit_velocity   // commits in last 90 days (cap 30)
       + 0.20·contributor_work  // unique authors × velocity (cap 100)
       + 0.20·issue_resolution  // closed ÷ total issues
       + 0.20·fork_ratio        // forks ÷ stars (proxy for real usage)
       + 0.10·release_cadence   // releases in 90 days (cap 3)
       + age_bonus              // +0 to +0.30 after 6 months
       + homepage_bonus         // +0.05 if homepage is set

reach  = log₁₀(stars + watchers + 10)█
♥ The Health Score +

Is the project alive and maintained right now? A 0–100 pulse recomputed nightly from commit recency, rhythm, how fast issues close, and how quickly PRs get merged.

health = 0.35·recency       // days since last commit (90d decay)
       + 0.25·cadence       // commit rhythm consistency
       + 0.20·issue_health  // closed ÷ total issues
       + 0.20·pr_health     // merged ÷ total PRs█
◷ Health bands +

The colour and label on every card come straight from the health score.

Healthy   80 – 100   active, responsive, regular releases
Stable    60 – 79    maintained, steady, no alarms
Quiet     40 – 59    slowing down — watch this one
At Risk    0 – 39    going dark · candidate for rescue█
// Tags — what each label means +

Tags are independent behavioral signals computed nightly. A project can hold multiple at once. They drive the home page sections.

solo_builder      one person holds > 80% of commits (last 180d)
needs_contributors has open "help wanted" or "good first issue" labels
hidden_gem        < 100 stars · active in last 3 months · documented
legacy_hero       repo > 5 years old · committed this year
fork_magnet       forks/stars > 0.5 · used as template or dependency
release_machine   5+ releases in the last 90 days
under_pressure    > 10 open issues · ≤ 2 contributors · health ≥ 60
community_watch   watchers > stars · devs tracking before the public
community_hub     GitHub Discussions enabled · > 20 discussions
funded            maintainer has active funding channel█
★ Why rank against stars at all? +

Stars are an outcome, not effort. A project with 8 stars and daily commits is doing more interesting work than one coasting on 8k. We measure the building, then divide by the attention already received — so the genuinely undervalued rise to the top.

// stars   = lagging indicator
// commits = leading indicator
// we rank by the leading one█