strongdm/attractor resource
nlspec of StrongDM's Attractor, a non-interactive Coding Agent sufficient for use in a Software Factory observed · 2026-08-28
Health v2 · maintenance only
47/100
- Activity 72
- Release rhythm 35
- Longevity 14
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: 209
- days_rel: n/a
- days_push: 169
- n_releases_24m: 0
Adoption not part of the score
1277 stars · 195 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Attractor is a set of Natural Language Specifications (NLSpecs) from StrongDM describing how to build a non-interactive coding agent that composes models, prompts, and tools into a graph-structured pipeline for end-to-end software development. The repository contains human-readable specs (agent loop, unified LLM client, and overall Attractor spec) intended to be directly consumed by coding agents to implement and validate behavior.
Use cases
- build a non-interactive coding agent from a natural language specification
- automate the software development lifecycle with an LLM-driven graph pipeline
- implement a unified LLM client for multiple model providers
- create a software factory that turns fully specified work into completed code
- orchestrate coding agent phases like implement, optimize, and validate as graph nodes
- evaluate community implementations of an open coding agent spec
When to choose
- you want a vendor-neutral, open specification for building your own autonomous coding agent
- you need a deterministic, resumable, graph-structured agent pipeline for fully specified tasks
- you want to feed a spec directly to a coding agent like Claude Code or Codex to generate an implementation
When to avoid
- you need a ready-to-run coding agent binary rather than specifications to implement
- your tasks are not fully specified and require interactive human-in-the-loop coding
- you want a framework with shipped code and APIs instead of natural language documents
Facets
learning-resource · maturity active
agent-framework llm-inference prompt-engineering developer-tools workflow-automation artificial-intelligence large-language-models developer-tools cross-platform cli nl-spec coding-agent software-factory specification agentic-loop non-interactive-agent graph-pipeline sdlc-automation ai-agents automation
2 sources
- readme: https://github.com/strongdm/attractor · fetched 2026-08-28 · 0b5f8d1b8ed4
- homepage: https://factory.strongdm.ai/products/attractor · fetched 2026-08-29 · 612fbf89ffbc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| strongdm/attractor | main | 47 |
For agents
markdown · JSON · MCP: product_card(name="strongdm/attractor")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem