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

codejunkie99/agentic-stack

One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge when you switch. observed · 2026-08-28

github.com/codejunkie99/agentic-stack · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

79/100

  • Activity 96
  • Release rhythm 96
  • Longevity 10

Flags: young

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: 0
  • age_days: 140
  • days_rel: 27
  • days_push: 27
  • n_releases_24m: 22

Full methodology

Adoption not part of the score

2238 stars · 274 forks observed · 2026-08-28

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

A Python-based framework providing a portable .agent/ folder of memory, skills, and protocols that plugs into many coding-agent harnesses (Claude Code, Cursor, Windsurf, Gemini CLI, DIY Python loops) and persists knowledge across tool switches. It also includes a local data layer for monitoring agent activity, costs, and KPIs, plus tooling to turn approved runs into eval cases and training-ready JSONL artifacts.

Use cases

  • keep agent memory when switching from cursor to claude code
  • share skills and protocols across multiple coding agents
  • run bounded agentic loops with budgets and checkpoints
  • monitor token costs and agent activity locally
  • build eval cases from approved agent runs
  • manage cron-scheduled agent runs from one dashboard

When to choose

  • you use multiple coding-agent harnesses and want one shared memory/skills layer
  • you need bounded, auditable agentic loops with resumable checkpoints
  • you want local-first monitoring and eval artifacts without telemetry

When to avoid

  • you use a single agent harness and don't need portability
  • you need OS-level sandboxing rather than supervisor-bounded loops
  • you want a fully managed cloud agent platform

Facets

framework · maturity active

agent-framework rag prompt-engineering developer-tools cli monitoring workflow-automation developer-tools large-language-models python cli cross-platform portable-agent-memory coding-agents agent-harnesses skills-folder agentic-loops claude-code cursor local-first eval-flywheel ai-agents automation command-line

1 source

Member repositories

RepositoryRoleHealth v2
codejunkie99/agentic-stackmain79

For agents

markdown · JSON · MCP: product_card(name="codejunkie99/agentic-stack")

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