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ctxpipe ctxpipe-ai/ctxpipe

Self-learning context infrastructure for AI engineering agents. Connect repos, docs, and tools into one org-scoped knowledge graph and expose it through a single MCP.

https://ctxpipe.ai ↗
HEALTH 88 / Healthy
// hidden gem// release machine agentic-codingai-agentscontext-engineering
02-2026 · today · jakubriedl
★21 Share View on GitHub ↗

// readme

· · ·

ctx| (ctxpipe)

Self-learning context infrastructure for AI engineering agents.

ctx| gives coding agents the context they are missing: how your platform is structured, which decisions already exist, what standards your team follows, and how work should be done in your organization. It ingests repositories and source material, builds a knowledge graph that compounds over time, and exposes that context to agents through one MCP connection.

Use the open-source core yourself, or get in touch for early access to the managed SaaS at ctxpipe.ai.

What ctx| does

  • Makes engineering context portable across agents, repos, sessions, and tools.
  • Uses Git as the source of truth for instructions, decisions, skills, and reviewable context changes.
  • Builds a self-learning knowledge graph from code, docs, ADRs, instructions, usage, and connector data.
  • Gives agents one MCP endpoint for architecture, standards, retrieval, and graph-backed context.
  • Helps teams govern agent planning and execution with transparent, version-controlled context.
  • Can be self-hosted or run as a managed SaaS.

How it fits together…

↑ 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█