Skip to main content
Glama

agentic-os

CI License: Apache-2.0 Install: Claude Code plugin Install: Cursor plugin PRs Welcome

Turn your repo into a governed multi-agent setup in one interview — scoped agent contracts, enforcement hooks (not just prompts), and optional SDLC orchestration. Works in Claude Code and Cursor; the SDLC pipeline (agentic-sdlc) also runs in Codex.

In plain words

You install two plugins into your AI coding editor (Claude Code or Cursor). The first, agentic-os, sets up guardrails for AI agents in your project: what files they may touch, when they must stop and ask a human, and how their work gets independently reviewed before anything is committed. The second, agentic-sdlc, runs a software-delivery pipeline on top of those guardrails: it takes an idea or a ticket and carries it through requirements, a spec, a plan, tested code, and a review-ready pull request. You don't need to be a programmer to benefit — there are role setups for developers, QA, architects, DevOps, business analysts, project/portfolio managers, security engineers, data engineers, and designers, and the non-coding roles work entirely through plain chat phrases. Unfamiliar terms (HITL, gate, preset…) are one-liners in the Glossary.

Start here

Prefer a walk-through? The role-based setup guides cover the same install for every role preset — pick your role (developer, QA, BA/PO, architect, DevOps, PM, portfolio, security, data, design) and follow the checklist, quick or fully guided.

New to this repo? You do not need to read everything below. Pick a path:

Your goal

Install from marketplace

First command in your project

Governed agents in my repo — scoped writes, blind pre-commit review, role presets, stack agents

agentic-os + agentic-sdlc + superpowers (≥ 6.1.0 — enforced by /agentic-init; see plugins/agentic-os/manifest/dependencies.json)

Choose roles: /agentic-init --presets ba-po/agentic-doctor

SDLC pipeline on top — spec → plan → TDD → QA (/sdlc-guided, /sdlc-auto, …)

Same three plugins (pipeline skills ship in agentic-sdlc)

After init: /sdlc-guided <task> or run sdlc-preflight

QE AI blueprints — 28 QE methodology blueprints, scaffold an agent framework from one, or set up evals for skills/agents

agentic-qe (works alone — no /agentic-init needed; composes with the other two when they are installed)

Ask e.g. "scaffold the bug-reporting blueprint for Claude Code" or "set up evals for my skills"

Five-minute flow (any editor):

  1. Install the plugin(s) for your editor (Claude Code or Cursor).

  2. Open the git repo you want to improve (not this marketplace repo).

  3. Run /agentic-init --presets <role[,role...]> (or /agentic-init for the full role-selection interview).

  4. Run /agentic-doctor — expect passed: true in .agentic/agentic-os/doctor.json.

  5. git status — review scaffolded files; nothing is committed for you.

  6. If you use the SDLC pipeline, run sdlc-preflight — expect passed: true in .agentic/agentic-sdlc/doctor.json.

Safe first try: use the throwaway repo walkthrough before touching a real project.

Full install checklist

Complete this before /agentic-init in the repo you want to equip:

#

Requirement

How to check

1

Claude Code or Cursor

Editor running with plugin support

2

python3 on PATH

python3 --version — enforcement hooks are Python

3

git

Target directory is a git repo (git status)

4

node on PATH

node --version — checked by sdlc-preflight when using agentic-sdlc

5

superpowers plugin ≥ 6.1.0

Install superpowers

6

agentic-os custom marketplace added

Install for your editor

7

agentic-os + agentic-sdlc plugins installed

Both cards/skills visible after reload

8

gh (optional)

Only for GitHub ticket/MR adapters

After equip — which doctor?

Check

When

Output

/agentic-doctor

After /agentic-init or /agentic-upgrade

.agentic/agentic-os/doctor.json — manifest, hooks, dependencies, scorecard

sdlc-preflight skill

Before /sdlc-guided or other SDLC skills

.agentic/agentic-sdlc/doctor.json — superpowers, node, git

Cursor users: this plugin is not in Browse Marketplace → All (curated public plugins only). You add a custom marketplace and install from the User tab — see Cursor install.

Related MCP server: Jenkins MCP Server

Why this exists

Left alone, multi-agent coding fails in a few specific, recurring ways: an agent's write scope silently creeps into files it wasn't asked to touch; an agent reviewing its own work rationalizes away the gaps it should have caught; "autonomous mode" is a blunt on/off switch instead of a resolution strategy sized to each decision's actual risk; and stack facts get re-guessed from scratch every session, with nothing stopping a Postgres-flavored rule from leaking into a MongoDB agent's contract. agentic-os closes each of those with a mechanism that's enforced, not just requested in a prompt — see docs/PRINCIPLES.md for what each one does and why a plain agent session doesn't already have it.

What it is

agentic-os packages that governance layer as an installable system. One command interviews you (role, autonomy level, stack) and scaffolds a coherent system into your project: canonical agent contracts, enforcement hooks (blind pre-commit review, write-scope guard, instruction-quality spawn gate), a human-in-the-loop escalation ladder, and — where it fits your stack — generated stack-specific agents. It is stack-universal: six curated profiles (Next.js, Django, Spring, Rails, Go, Playwright) are recognized instantly, and anything else — a NestJS backend, a schemaless Mongo service, or no code stack at all — gets real, evidence-grounded persistence and API agents via live repo discovery instead of a degraded stub (proven live against both a migration-managed and a schemaless non-curated backend — see tests/universal/README.md). Frontend/UI generation on a non-curated stack uses the same discovery mechanism but is earlier in its own verification cycle. It is also role-agnostic (developer, QA, BA/PO, architect, delivery).

Today it's delivered as a Claude Code and Cursor plugin (the agentic-sdlc pipeline additionally ships Codex packaging) — that's the install mechanism, not the architectural boundary: the scaffolded contracts are harness-neutral by design (thin per-host pointer files over a canonical, host-independent body).

This repo is a marketplace (Claude Code and Cursor) hosting three plugins:

  • agentic-os — the product: the /agentic-init, /agentic-doctor, and /agentic-upgrade skills plus the template library, generators, and role presets they scaffold from.

  • agentic-sdlc — the SDLC pipeline and the gate-arbiter that resolves every judgment gate (ask the human in HITL mode; deterministic → fast-path → stand-in subagent → escalate in autonomous mode) with a full decisions.jsonl audit trail. For an interactive visual map of the whole pipeline, open plugins/agentic-sdlc/sdlc.html in a browser.

  • agentic-qe — a tool-agnostic catalog of Quality Engineering AI blueprints (28, organized by STLC stage) plus two skills: qe-blueprints scaffolds a ready-to-fill agent framework from a chosen blueprint, and eval-harness generates a two-layer evaluation framework for skills and agents. /agentic-init is never required — but when the governance layer is present, qe-blueprints detects it and adapts, writing contracts where the write-scope guard and instruction gate can see them instead of alongside the installer's own files. Composes when governed, stands alone when not.

There's also mcp/ — a read-only MCP server that serves this same governance/SDLC/QE methodology to hosts that don't speak the Claude Code or Cursor plugin format (any MCP-capable client). It's a separate package with its own build, published on npm and the MCP Registry; see mcp/README.md.

Use it from any MCP client

Don't use Claude Code or Cursor? The same methodology is a published MCP server — your assistant can search the docs, list the role presets and QE blueprints, turn a role into an install plan, and audit an existing install, all read-only:

claude mcp add agentic-os -- npx -y agentic-os-mcp

Works in any MCP-capable assistant. See mcp/README.md for per-role examples and the full tool list.

Which plugin? For the governed platform, install agentic-os + agentic-sdlc plus superpowers: agentic-os is the installer/governance layer, agentic-sdlc is the SDLC orchestrator, and /agentic-init wires them together and registers missing dependencies in Phase 3 if any are absent. agentic-qe is optional and installs with or without the other two: alone it is the QE blueprint catalog and scaffolder, and inside a governed repo it detects the install journal and writes into the governed paths instead.

Why separate plugins, not one? The governance layer and the pipeline have different lifecycles and different audiences: agentic-os scaffolds into your repo once and evolves with your codebase, while agentic-sdlc is a set of runtime skills you invoke per task — and some teams want the guardrails without the pipeline (or, on Codex, the pipeline alone). agentic-qe is separate again: a knowledge-and-scaffolding add-on with no dependency on the other two. Splitting them keeps each independently versioned, upgraded, and installable.

/agentic-init Phase 3 treats agentic-sdlc and superpowers as non-optional (plugins/agentic-os/manifest/dependencies.json). Install all three up front to avoid a pending-restart loop.

Prerequisites

  • Claude Code or Cursor — see Install. This is a custom plugin marketplace; you add it once per editor, then equip projects with /agentic-init.

  • python3 on your PATH — enforcement hooks are Python scripts.

  • git — the target repo must be a git repository (/agentic-init can git init if it is not).

  • node on your PATH — required when using agentic-sdlc; sdlc-preflight runs node --version and git --version (plugins/agentic-sdlc/skills/sdlc-preflight/SKILL.md).

  • superpowers6.1.0 and agentic-sdlc0.4.4 — required by /agentic-init (plugins/agentic-os/manifest/dependencies.json).

  • Optional: gh (GitHub CLI) for GitHub ticket/MR adapters.

Install

Install superpowers

/agentic-init and agentic-sdlc require the superpowers plugin ≥ 6.1.0 (plugins/agentic-os/manifest/dependencies.json). Install it before equipping a target repo.

Claude Code:

/plugin install superpowers@claude-plugins-official

If that marketplace is missing, add it first:

/plugin marketplace add anthropics/claude-plugins-official
/plugin install superpowers@claude-plugins-official

Fallback marketplace (same plugin family):

/plugin marketplace add obra/superpowers-marketplace
/plugin install superpowers@superpowers-marketplace

Cursor:

  1. Customize → Plugins → Browse Marketplace → All → install Superpowers (curated public plugin), or

  2. Install superpowers in Claude Code and enable “Automatically import agent configs from other tools”, then reload Cursor.

Confirm version ≥ 6.1.0 on the plugin card or via sdlc-preflight after equip.

Claude Code

Install superpowers (above), then add this marketplace:

/plugin marketplace add Jarroslav/agentic-os
/plugin install agentic-os@agentic-os
/plugin install agentic-sdlc@agentic-os

Or try it straight from a local clone, no publish needed:

git clone https://github.com/Jarroslav/agentic-os
# in Claude Code:
/plugin marketplace add /absolute/path/to/agentic-os
/plugin install agentic-os@agentic-os
/plugin install agentic-sdlc@agentic-os

Restart the session so the plugins load (Claude Code activates plugins at session start).

Cursor

agentic-os is a custom marketplace, not a curated Cursor Store listing. You will not find it by searching Browse Marketplace → All.

  1. Open Customize → Plugins (or Settings → Plugins; use Customize if you see the “Plugins are moving to Customize” banner).

  2. Add marketplace and paste the Git clone URL (must end in .git):

    https://github.com/Jarroslav/agentic-os.git

    Or, from a local clone:

    /absolute/path/to/agentic-os
  3. Open the User tab (not All).

  4. Install both plugins from the agentic-os marketplace:

    • agentic-os/agentic-init, /agentic-doctor, /agentic-upgrade, /agentic-uninstall

    • agentic-sdlc — SDLC skills + subagents (display name Agentic SDLC)

  5. Install superpowers ≥ 6.1.0 (Install superpowers — curated Superpowers from Browse Marketplace → All works in Cursor).

  6. Reload the window (Command Palette → “Developer: Reload Window”).

You should see each plugin as its own card (often tagged Imported), with bundled skills listed — similar to other third-party plugins. The page Rules, Skills, Subagents is a flat list of everything on your machine; that is not the plugin install view.

Alternative: import via Claude Code

If you already use Claude Code with “Automatically import agent configs from other tools” enabled in Cursor:

/plugin marketplace add Jarroslav/agentic-os
/plugin install agentic-os@agentic-os
/plugin install agentic-sdlc@agentic-os

Reload Cursor. Plugins registered in Claude appear as Imported in Cursor.

Equip your project

Open the target repo (your app, not the agentic-os clone), then:

/agentic-init --presets ba-po            # explicit role selection + guided interview
/agentic-init --presets ba-po --defaults # explicit role, accept detected defaults

The interview never commits — it scaffolds files, shows a settings diff before merging, and leaves the working tree for you to review.

Then:

/agentic-doctor          # verify governance install → .agentic/agentic-os/doctor.json
/agentic-upgrade         # reconcile after a plugin version bump
/agentic-uninstall qa    # drop a role (--all for the whole layer, --dry-run to preview)

If you use SDLC skills (/sdlc-guided, /sdlc-auto, …), also run sdlc-preflight — it writes .agentic/agentic-sdlc/doctor.json and checks superpowers, node, and git.

Cursor troubleshooting

Symptom

Fix

Cannot find agentic-os in Browse Marketplace

Expected. Add custom marketplace (above) and use the User tab.

Marketplace added but no plugin card

You added the repo but did not Install each plugin. Install both, then reload.

Skills page shows hundreds of items, not agentic-init

Search for agentic-init, or open the plugin card under Customize → Plugins.

/agentic-init not recognized

Plugins not loaded — reload window; confirm both plugins show as installed.

Init or sdlc doctor fails on superpowers

Install superpowers ≥ 6.1.0 (Install superpowers), then reload.

sdlc-preflight fails on node

Install Node.js (node --version on PATH).

Portfolio and MCP (Cursor or Claude Code)

Role selection is explicit. Choose ba-po when your work is requirements, customer, and delivery focused; it installs the dispatcher and requirements workflow without developer/code-writing agents. Add another role later by re-running /agentic-init --presets ba-po,developer (or the role combination you need); the installer unions the existing architecture and preserves user-owned files.

MCP is optional. During setup choose one of:

  • Connect now — use an approved host directory/“Add to Cursor” connector or an organization-provided server.

  • Configure later — finish setup and return when access is available.

  • Continue without MCP — paste a table, attach a CSV, share a screenshot, or paste a Power BI finding. Portfolio workflows remain usable.

For Cursor, project MCP configuration is .cursor/mcp.json and global configuration is ~/.cursor/mcp.json. Verify with cursor-agent mcp list, authenticate with cursor-agent mcp login <name>, and inspect capabilities with cursor-agent mcp list-tools <name>.

For Claude Code, shared project configuration is .mcp.json. Use claude mcp add <name> --scope project ... or claude mcp add-json, verify with claude mcp list / claude mcp get <name>, and use /mcp for OAuth and approval. Keep secrets in OAuth or environment variables, never in committed JSON.

Glossary: a repo is the project folder Git tracks; a plugin adds skills; a marketplace is where plugins are installed; MCP connects approved external tools and data; OAuth is browser-based sign-in; and project scope means configuration shared by that project.

First Portfolio prompts:

  • “Turn this Power BI insight into a customer-ready requirement.”

  • “Convert this Excel analysis into acceptance criteria.”

  • “Prepare clarification questions for the customer and delivery team.”

Cursor reads .cursor-plugin/marketplace.json from the repo root. Use a Git clone URL ending in .git, not the GitHub browser URL.

Try it in two minutes (throwaway repo)

Nothing here touches a real project — build a disposable repo and watch the whole install cycle end-to-end:

mkdir /tmp/try-agentic && cd /tmp/try-agentic && git init
printf '{"name":"try","dependencies":{"next":"15.0.0"}}' > package.json

Open Claude Code or Cursor in that directory (after the marketplace/plugin install steps and a session reload), then run:

/agentic-init --presets ba-po

What happens, in order:

  1. Preflight — detects this is a git repo, then runs stack discovery: a cheap marker check spots the next dependency and matches the nextjs-supabase profile, then a subagent confirms that match against the real repo (a non-matching repo gets a full from-scratch inspection instead, not a dead-end fallback).

  2. Interview — role selection is explicit. The flow then asks for MCP access (connect now, configure later, or continue without MCP) before role-relevant autonomy, gates, stack, and adapter questions. --defaults accepts detected defaults only after an explicit --presets selection (or an existing journal).

  3. Dependency check — verifies every non-optional dependency (agentic-sdlc, superpowers) is registered; prints a pending-restart notice for any that aren't.

  4. Scaffold — writes .agentic/agents/, .agentic/guides/, .claude/hooks/, .githooks/pre-commit; always writes CLAUDE.md as a marker-delimited block, and writes AGENTS.md whole on a fresh repo like this one (it only becomes a marker-delimited block when the file already exists). Nothing is committed — it's your working tree to review.

  5. Generate — spawns per-slot subagents for the generated set (the union across every selected role preset): writer contracts, any applicable read-only gate like migration-validator, and stack guides — each independently audited against the instruction-quality rubric before being armed in the scorecard.

Then:

/agentic-doctor

runs all 8 checks (file manifest vs. install journal, hook compilation, canned-event dry-runs of four enforcement hooks, a 3-part HITL smoke test, settings registration, git hook + dependencies, scorecard coverage/thresholds, and agent-registry table integrity) and writes the result to .agentic/agentic-os/doctor.json.

Cursor note: same commands work in Cursor chat once agentic-os is installed from the custom marketplace. If /agentic-init is missing, reload the window and confirm the plugin card appears under Customize → Plugins.

git status         # inspect exactly what was scaffolded; nothing was committed

Role presets

Presets are additive — install several and their template sets union (strictest HITL wins).

Preset

What it installs

Default HITL / orchestration

developer

generated stack writer agents (schema/api/component), read-only gates, blind pre-commit review, staged pipeline orchestrator

gated-autonomous / pipeline

qa

dispatcher routing; test-case generation / automation / sync agents with real-ID + existing-coverage gates; failure triage + flaky protocol; adapter-driven work-item creation (tests are recommend-only)

strict / dispatcher

ba-po

story & requirements intake via agentic-sdlc, ticket adapter — no code-writing agents

gated-autonomous / dispatcher

architect

full governance scaffolding (AGENTS/PATTERNS/registry), instruction-auditor + scorecard spawn gate, dispatcher routing, generated architecture guides

gated-autonomous / dispatcher

pm-delivery

ticket/MR adapters, PR pipeline gate, MR-monitoring glue, status conventions

gated-autonomous / dispatcher

devops

git hooks + quality gates, PR pipeline gate, MR-monitoring/CI-fixing glue, security reviewer, read-only incident triage (3 ranked hypotheses, human-executed fixes) — no code-writing agents

gated-autonomous / dispatcher

security

DFD-first STRIDE threat modeling (doc-writer scoped to docs/security/, proposed-only severities, mitigation→risk traceability), code-level security reviewer, dispatcher routing — no code-writing agents

strict / dispatcher

data

layered pipeline design raw → cleaned → consumable (doc-writer scoped to docs/data/, counted row-math equations, force-tested DQ checks, per-dataset lineage, proposed-only classifications), dispatcher routing — recommend-only queries, no code-writing agents

strict / dispatcher

design

emotion-annotated journey mapping → step+emotion problem framings → decision-closing workshops → negative-AC acceptance criteria → agent-ready context+spec handoff pair (doc-writer scoped to docs/design/, proposed-only decisions), dispatcher routing — no code, no visual-asset generation, no code-writing agents

strict / dispatcher

portfolio

run status, repo/knowledge health audits, durable cross-session memory, requirements intake — read/report-only, no git layer

gated-autonomous / dispatcher

The HITL dial

The install sets how much agents may do before a human must weigh in:

  • strict — every step is user-invoked; agents recommend, they don't act (e.g. QA: agents author tests but never run them). Dispatcher orchestration.

  • gated-autonomous — pipelines run, but judgment gates and the escalate_on risk flags (default: security, breaking-change, migration, spend) stop them for a human decision.

  • autonomous — the agentic-sdlc gate-arbiter resolves gates with deterministic checks, fast-paths, and stand-in reviewers, escalating to you only on low confidence, a matching risk flag, or malformed agent output.

Underneath, three mechanisms make HITL real, not advisory:

  1. Policy files (.agentic/guides/policy/) — the autonomy matrix, size ceiling, env write boundaries, secret deny-lists, and the escalation ladder.

  2. Resolver conventions — every agent ends its output with ## Summary / ## Why / ## Blocking / ## Non-blocking / ## Escalate to human, parsed fail-closed by a Stop/SubagentStop hook: a non-empty Blocking stops the parent (no silent retry); a non-empty Escalate to human forces an AskUserQuestion.

  3. Hard gates — exit-2 hooks: blind pre-commit review (sha256 stamp of the staged diff), write-scope guard, instruction-quality spawn gate, human-gated command blocks.

What gets scaffolded

Into your target repo (harness-neutral canonical contracts, thin Claude pointers):

.agentic/agents/            canonical agent contracts (single source of truth)
.agentic/guides/            policy/, standards/, agent-registry.md, project.md
.agentic/agentic-sdlc/      config.json (gate-arbiter wiring)
.claude/hooks/             the enforcement hooks
.claude/agents/, commands/ thin pointers + orchestration commands
.githooks/pre-commit       the review gate's git-level twin
CLAUDE.md / AGENTS.md      a managed block (your content outside it is untouched)
docs/audits/               the instruction-quality scorecard

Mature repos are handled non-destructively: managed marker blocks, deep-merged settings (shown as a diff first), skip-by-default name collisions, chained (never replaced) git hooks.

Using it, by role

After install, what you reach for depends on the preset(s) you chose:

  • developer — describe a feature; the pipeline orchestrator runs the staged flow (generated schema/api/component agents → read-only gates → blind pre-commit review). Every git commit is blocked until the staged diff is reviewed. /agentic-doctor confirms the fleet is spawnable.

  • qa/dispatch routes each request to one owning agent (strict HITL, one step at a time). Generate test-case drafts from a story, automate approved work-item IDs (with real-ID + existing-coverage gates), triage a red test against the flaky protocol. Agents author tests but never run them — they hand you the exact command.

  • ba-po — draft stories and requirements through the agentic-sdlc intake skills, wired to your ticket adapter.

  • architect — the governance layer: AGENTS.md/PATTERNS.md/agent-registry, the instruction-auditor + scorecard spawn gate, dispatcher routing over that registry, generated architecture guides.

  • pm-delivery — ticket/MR adapters, the PR pipeline gate, MR-monitoring.

  • devops — the delivery-infrastructure layer: chained git hooks, the quality-gates registry, the PR pipeline gate, MR-monitoring that fixes red CI and reviewer comments until the MR merges, and read-only incident triage (exactly three ranked hypotheses with the cheapest read-only next diagnostic; fixes stay human-executed).

  • portfolio — oversight without touching code: ask for run status, audit a repo's docs/agent-setup health, keep durable notes across sessions, and turn stakeholder asks into normalized requirements.

  • security — say "threat-model the checkout flow": the threat-modeler writes the DFD-first pack (diagram → per-element threats → risk register → mitigations) only under docs/security/, with every severity proposed — owner confirmation pending until you confirm it. Code-diff review stays with the security-reviewer.

  • data — say "design the orders pipeline": the pipeline-designer writes layered designs, force-tested DQ checks, and lineage maps only under docs/data/, with row math as counted equations and every verification query handed to you ready to run — never executed by the agent.

  • design — say "map the checkout journey": the experience-designer writes emotion-annotated journeys, step+emotion framings, decision-closing workshop logs, and the agent-ready context.md + spec.md handoff pair only under docs/design/; negative acceptance criteria are carried verbatim, and story drafting hands off to story-author.

If you don't write code (pm-delivery, ba-po, portfolio, security, data, design): everything you need is a plain chat phrase, not a CLI command. Type things like "draft a story for password reset", "what's the status of the current run?", "watch MR !123", or "turn this stakeholder email into requirements" directly into the editor's chat. The one honest prerequisite: someone installs Claude Code or Cursor with these plugins for you first — after that, no terminal is required.

Everything obeys the HITL dial you set: an agent that hits a ## Blocking item stops and surfaces it; an ## Escalate to human item forces a question before anything proceeds.

Why not just prompt the agent yourself?

You can, and for a one-off change you should. The difference shows up when the work is big enough to span several agents, several sessions, or a stack the agent has to learn rather than be told about:

Plain agent session

With agentic-os

Scope enforcement

A session-wide allow/deny list (permissions.deny) plus a coarse per-agent tools: allowlist. Neither can say "the migration agent may write migrations, and only the migration agent may" — one is path-scoped but not per-agent, the other per-agent but not path-scoped.

A write_scope/forbidden_paths glob per agent contract — path-scoped and per-agent — checked by a PreToolUse hook that exits non-zero before the write lands.

Review independence

You can spawn a fresh-context reviewer, and should. But nothing gates the commit on it: a review is advisory, and the agent decides whether to honor it.

The reviewer reads the staged diff cold, and its approval is a sha256 stamp of that exact diff. No stamp, no commit — enforced by a PreToolUse hook and a native git hook. Re-staging invalidates the stamp.

Autonomy granularity

Permission rules are per tool call — may this session run Bash(git push:*)? They can't express "may this decision proceed without me?"

Resolution is per gate: deterministic check → fast-path → stand-in subagent → escalate, with escalate_on risk flags that force a human. Every resolution logged to decisions.jsonl.

Stack-fact provenance

Re-derived each session, uncited, with nothing stopping a Postgres idiom leaking into a MongoDB rule.

Every fact carries a file:line citation and a 0–100 confidence. A low-confidence fact is still recorded — but flagged unresolved and surfaced at the interview, never a silent guess. A rule may never cite the discovery record as its source, enforced by a rubric check.

Instruction freshness

Custom instructions are static text that silently rots as the code moves.

Contracts are graded artifacts: independently audited, hash-pinned in a scorecard. A stale hash blocks that agent's spawn (exit 2).

The claim isn't that agents can't do this work, or that a plain session has no guardrails — it has good ones. It's that those guardrails are per session and per tool, and the failures above are per agent and per decision. Nothing in a plain session stops a specific agent from quietly doing a specific thing wrong. See docs/PRINCIPLES.md for the reasoning behind each row.

Why hooks, not prompts? A prompt is a request the model may weigh against everything else in context; a hook is a program the harness runs outside the model, whose non-zero exit physically blocks the tool call. An agent under context pressure can rationalize its way past "please don't commit unreviewed code" — it cannot rationalize its way past a PreToolUse hook that exits 2. That's why every load-bearing rule here (blind review before commit, write scope, human-gated commands, instruction freshness) is enforced by a hook, with prompts reserved for guidance (docs/PRINCIPLES.md).

FAQ

Does it ever commit or push on its own? Not unless you ask it to. /agentic-init scaffolds files and shows you a settings diff before merging it — it never runs git add or git commit, so the working tree is yours to review. The SDLC pipeline stops at a review-ready branch and never opens a PR by itself. Two bundled skills do write to git, and only when you invoke them by name: mr-submit (commits, pushes, opens the PR) and mr-watch (pushes review fix-ups with --force-with-lease).

What if my stack isn't one of the six curated profiles? Then discovery inspects the repo from scratch instead of matching a profile, and you still get real, evidence-grounded agents — not a degraded stub. This is verified against non-curated fixtures spanning both persistence paradigms and both UI paradigms; see tests/universal/README.md.

What if I have no code stack at all? That's a first-class path by design, not a degradation: any no-code preset (qa, ba-po, pm-delivery, portfolio, security, data, design) declares generated: []; a pm-delivery or ba-po install wires ticket/MR adapters plus the governance layer instead of code agents. Honest caveat — the preset combinatorics are covered deterministically in CI, but this zero-capability path hasn't yet been driven through a live end-to-end /agentic-init run (tracked in ROADMAP.md).

Will it fight my existing CI, hooks, or CLAUDE.md? No. Mature repos are handled non-destructively: CLAUDE.md/AGENTS.md get a marker-delimited managed block (your content outside it is never touched), settings are deep-merged after showing you a diff, name collisions skip by default, and a pre-existing git hook is chained, not replaced.

Does this work outside Claude Code? The canonical agent contracts are harness-neutral by design — the host-specific files are thin pointers over them. Install via Claude Code or Cursor; on Codex, the agentic-sdlc pipeline installs and runs, but the agentic-os governance installer has no Codex packaging yet (tracked in ROADMAP.md; see INSTALL.md). Claude Code is the best-supported enforcement host today; Cursor packaging reuses the same skills and scaffolds the same .agentic/ layer.

What does /agentic-doctor actually check? Eight things: file manifest vs. install journal, hook compilation, canned-event dry-runs of four enforcement hooks, a 3-part HITL smoke test, settings registration, git hook + dependencies, scorecard coverage/thresholds, and agent-registry table integrity (that the routing matrix the orchestrator reads is a real, contiguous table with a row per generated agent). It writes the result to .agentic/agentic-os/doctor.json.

Can I uninstall it? Yes — /agentic-uninstall <role> drops a role, /agentic-uninstall --all takes the whole layer out, and --dry-run shows you either plan without writing anything. It is not a delete: presets share most of their templates, so removing qa from a developer,qa repo removes only what developer does not also claim. What it actually does is recompute the state an install of the remaining roles would produce and converge to it, which is why the result equals a fresh narrower install and the repo stays installable with any role afterwards. Files you edited are never removed without an explicit choice; files it adopted rather than wrote are never touched. Nothing is committed for you either way, so git diff remains your undo.

Glossary

One-liners for the jargon used above, no forward references required:

  • Agent — an AI worker with its own instructions and tool access, spawned to do one job (write a migration, review a diff, triage a test failure).

  • Subagent — an agent spawned by another agent rather than by you.

  • Agent contract — the written instructions an agent runs under: its job, the files it may write, and when it must escalate.

  • HITL (human-in-the-loop) — the rule that certain decisions stop and wait for a person instead of proceeding automatically.

  • HITL dial — the install-time setting choosing how much runs unattended: strict (agents only recommend), gated-autonomous (pipelines run, risky decisions stop for you), autonomous (only low-confidence or flagged-risk decisions reach you).

  • Gate — a checkpoint that work cannot pass until a condition holds (tests green, review approved, human said yes).

  • Hook — a small program the editor runs automatically around an agent's actions; a failing hook physically blocks the action, unlike a prompt.

  • Preset — a role-shaped bundle (developer, qa, ba-po, architect, pm-delivery, devops, portfolio, security, data, design) choosing which agents, hooks, and skills get installed.

  • Scaffold — the set of files /agentic-init writes into your repo (contracts, hooks, policies, guides); nothing is committed for you.

  • Doctor — a read-only verifier (/agentic-doctor, sdlc-preflight) that checks an install actually works and writes a pass/fail report.

  • Adapter — a small config declaring which ticket/MR tool you use (GitHub, GitLab, Jira, Azure DevOps…), so no vendor is hardcoded.

  • MR / PR — merge request (GitLab) / pull request (GitHub): a proposed change someone reviews before it lands.

  • TDD (test-driven development) — writing the failing test first, then the code that makes it pass.

  • Dispatcher vs pipeline — the two orchestration styles: dispatcher routes each request to one owning agent, one step at a time; pipeline runs the staged multi-agent flow.

  • Skill — a packaged, invocable capability of a plugin (e.g. /agentic-init, sdlc-guided, mr-watch).

Testing & development

bash tests/t0/run.sh                 # 61 hook unit tests
bash tests/t0/run-output-contract.sh # 12 output-contract parser checks
bash tests/run-matrix.sh             # T1–T8 acceptance (38 checks; re-runs the output-contract suite as T7)
cd mcp && npm run build && npm test  # mcp/ server: contract, content, and read-only tests

What CI proves, deterministically, on every PR: 99 checks — 61 hook unit tests (tests/t0/run.sh) plus the 38-check T1–T8 acceptance matrix — and JSON manifest/preset validation. The matrix executes the installer's deterministic phases against fresh and mature fixture repos; it is a skill-executability proof, not a mock. It covers non-destructive mature-repo handling, idempotent re-runs, upgrade classification, preset/ID resolution, dependency registration, the output-contract parser, and template rendering under quote-bearing answers. See tests/README.md.

What CI structurally cannot prove, and how it's proven instead: the generation loop is model-driven — you cannot spawn real subagents from a bash script, and mocking them would prove nothing about the actual claim. So it is verified by hand, repeatably, against fixtures on stacks the plugin has never seen, and every generation run below is recorded with its score: discovery → capability-driven generation → independent audit by a separate instruction-auditor subagent that re-checks every claim in the generated contract against the fixture's real code. Recorded results (tests/universal/README.md):

Non-curated fixture

Generated contract

Audit score

SvelteKit

component-generator

100/100 first audit (25/25 claims verified)

Express + EJS

component-generator

100/100 first audit (22/22 verified)

FastAPI + Alembic

schema-architect

95/100 first audit (19/20 verified)

Express + Mongoose

schema-architect

90/100 → 95/100 after one regen

The 95s are the interesting ones. On FastAPI + Alembic the contract carried zero Postgres/Supabase RLS vocabulary from the exemplar it was shown; on Mongoose, zero migration vocabulary — and the rubric's evidence check caught a real generation mistake live, before it could reach a user's repo. The unverified claims are named in the log rather than rounded away.

That split is deliberate: the deterministic half is gated in CI, and the model-driven half is never quietly claimed as CI-covered.

Contributing

main is protected — no direct pushes; every change lands through a CI-passing pull request, and contributor PRs require a code-owner review. See CONTRIBUTING.md for the branch → PR flow.

Docs

License: Apache-2.0.

Install Server
A
license - permissive license
A
quality
A
maintenance

Maintenance

Maintainers
Response time
0dRelease cycle
14Releases (12mo)
Commit activity

Related MCP Servers

  • A
    license
    -
    quality
    C
    maintenance
    Read-only MCP server for Jenkins CI, enabling AI agents to securely query job/build status, logs, artifacts, and generate verification reports for loop workflows.
    17
    ISC
  • A
    license
    -
    quality
    A
    maintenance
    Public read-only MCP server for turva.dev's agent-readiness audit, enabling AI agents to query service catalog, security evidence, and engagement principles via structured JSON.
    1
    MIT
  • A
    license
    -
    quality
    B
    maintenance
    A read-only MCP server that gives coding agents structured, read-only access to sibling repositories, ensuring security by design with zero write tools.
    MIT

View all related MCP servers

Related MCP Connectors

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Jarroslav/agentic-os'

If you have feedback or need assistance with the MCP directory API, please join our Discord server