Ross ROSS = Recommend OSS · open-source software intelligence for agents

ishaan1013/shadow

Background coding agent and real-time web interface observed · 2026-08-28

github.com/ishaan1013/shadow · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

51/100

  • Activity 73
  • Release rhythm 35
  • Longevity 29

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 417
  • days_rel: n/a
  • days_push: 167
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1496 stars · 178 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Shadow is an open-source background coding agent that autonomously understands, edits, and contributes to existing GitHub codebases, generating branches, commits, and pull requests. It combines a real-time Next.js chat interface (terminal, file explorer, task tracking) with isolated execution environments, from local runs to hardware-isolated Kata QEMU micro-VMs orchestrated on Kubernetes.

Use cases

  • run an AI coding agent in the background on my GitHub repo
  • self-host an open-source alternative to cloud coding agents
  • have an agent open pull requests with AI-authored commits on existing codebases
  • execute long-running coding tasks in isolated sandboxed VMs
  • chat with an agent in real time while it edits files and runs terminal commands
  • automatically document a codebase with an auto-generated wiki
  • build a searchable memory of repository-specific knowledge for an LLM agent

When to choose

  • you want a self-hosted, open-source background coding agent rather than a closed cloud service
  • your workflow is GitHub-centric and you want automated branch, commit, and PR generation
  • you need strong isolation (Kata QEMU micro-VMs, Kubernetes) for untrusted agent execution
  • you value full visibility into agent context, tool calls, and the file/terminal workspace

When to avoid

  • you only need inline autocomplete or quick edits inside your IDE rather than autonomous background tasks
  • you want a lightweight CLI agent without deploying Next.js, PostgreSQL, and optionally Kubernetes
  • your code cannot be connected to GitHub or you cannot provide LLM provider API keys
  • you need a fully offline agent with local-only models, since it targets hosted providers like Anthropic, OpenAI, and OpenRouter

Facets

application · maturity active

agent-framework chat-interface rag developer-tools artificial-intelligence large-language-models developer-tools self-hosted ai-coding-agent autonomous-agent github-integration code-generation pull-requests sandboxed-execution micro-vm kata-containers real-time-ui nextjs websocket multi-provider-llm background-tasks code-search turborepo ai-agents nodejs web-server kubernetes

2 sources

Member repositories

RepositoryRoleHealth v2
ishaan1013/shadowmain51

For agents

markdown · JSON · MCP: product_card(name="ishaan1013/shadow")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem