AgentOps vs Superpowers¶

Superpowers is a popular coding agent plugin known for disciplined TDD workflows and autonomous operation. Now supports Kimi Code CLI, OpenClaw, and Mistral Vibe (April 2026). Major architectural shift: skills separated into a dedicated repo (obra/superpowers-skills) — the plugin is now a lightweight shim that auto-updates skills on session start.

Comparison updated April 2026. See Superpowers repo for current features.

At a Glance¶

Aspect	Superpowers	AgentOps
Philosophy	"Disciplined senior engineer"	"Operational layer for coding agents; technically a context compiler"
Core strength	TDD, planning, autonomous hours	Cross-session memory, learning
GitHub stars	29,000+	Growing
Primary use	Greenfield development	Ongoing codebase work

What Superpowers Does Well¶

1. TDD Enforcement¶

Superpowers enforces true red/green TDD. Write tests first, implement second. No shortcuts.

Text Only

Superpowers TDD Flow:
  Write failing test → Run test (red) → Implement → Run test (green) → Refactor

2. Planning Mode¶

The /superpowers:brainstorm and /superpowers:write-plan commands create structured implementation plans. Claude asks intelligent questions to flesh out details.

3. Autonomous Operation¶

Superpowers can work autonomously for hours without drifting. It spawns subagents for context gathering and uses test suites to validate its work.

4. YAGNI/DRY Principles¶

Built-in enforcement of software engineering best practices. No over-engineering, no repetition.

Where Superpowers Falls Short¶

No Cross-Session Memory¶

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┌─────────────────────────────────────────────────────────────────┐
│                     SUPERPOWERS                                 │
│                                                                 │
│  Session 1: Debug auth bug        [learned: token refresh]      │
│  Session 2: Debug auth bug        [learned: token refresh]      │
│  Session 3: Debug auth bug        [learned: token refresh]      │
│                                   ↑                             │
│                              Same learning, every time          │
└─────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────┐
│                      AGENTOPS                                   │
│                                                                 │
│  Session 1: Debug auth bug        [learned: token refresh]      │
│                                          ↓ (stored)             │
│  Session 2: Auth issue?           "I remember this pattern"     │
│                                          ↓ (reinforced)         │
│  Session 3: Auth?                 *instant recall*              │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

Superpowers resets every session. Your agent debugs the same issues repeatedly with no memory of past solutions.

No Failure Prevention¶

Superpowers validates after implementation (TDD). AgentOps adds pre-implementation validation:

Text Only

Superpowers:
  Plan → Implement → Test (catch failures here)

AgentOps:
  Plan → Pre-Mortem (catch failures here) → Implement → Test → Post-Mortem

The /pre-mortem skill simulates 10 failure scenarios before you write code. Cheaper to catch bad designs early.

Limited Validation Scope¶

Superpowers relies on your test suite. If tests pass, it's "done."

AgentOps /vibe validates 8 aspects beyond tests: - Semantic correctness (does code match spec?) - Security vulnerabilities - Code quality / smells - Architecture violations - Complexity metrics - Performance issues - AI "slop" detection - Accessibility

Feature Comparison¶

Feature	Superpowers	AgentOps	Winner
TDD enforcement	✅ Strict	✅ Supported	Superpowers
Planning workflow	✅ Excellent	✅ `/plan` + `/pre-mortem`	Tie
Subagent spawning	✅ Built-in	✅ 20 expert agents	Tie
Autonomous work	✅ Hours	✅ `/crank` loop	Tie
YAGNI/DRY	✅ Enforced	⚠️ Via standards	Superpowers
Cross-session memory	❌ None	✅ Git-persisted	AgentOps
Knowledge compounding	❌ No	✅ Escape velocity	AgentOps
Pre-mortem	❌ No	✅ 10 failure modes	AgentOps
8-aspect validation	❌ Tests only	✅ Semantic + security + ...	AgentOps
Scientific foundation	❌ Best practices	✅ Peer-reviewed	AgentOps

Workflow Comparison¶

Superpowers Workflow¶

Text Only

/superpowers:brainstorm  →  Refine requirements interactively
         ↓
/superpowers:write-plan  →  Create implementation plan
         ↓
/superpowers:execute-plan → Execute in batches with TDD
         ↓
       Done

AgentOps Workflow¶

Text Only

/research     →  Explore codebase + inject prior knowledge
     ↓
/plan         →  Break into tracked issues
     ↓
/pre-mortem   →  Simulate 10 failure modes (BEFORE building)
     ↓
/crank        →  Implement → validate → commit loop
     ↓
/post-mortem  →  Validate + extract learnings (FOR NEXT TIME)

Key difference: AgentOps has gates before and after implementation, and learnings persist to future sessions.

When to Choose Superpowers¶

You're doing greenfield development (no prior context to leverage)
You want strict TDD enforcement as the primary quality gate
Your sessions are independent (different features each time)
You prefer a battle-tested solution (29K stars, marketplace approved)

When to Choose AgentOps¶

You work on the same codebase over many sessions
You want your agent to remember past bugs and solutions
You want failure prevention before building, not just testing after
You want semantic validation beyond just "tests pass"
You value compounding knowledge over time

Can They Work Together?¶

Partially. Both have planning workflows, so you'd need to pick one. But:

Use Superpowers for TDD enforcement during implementation
Use AgentOps for cross-session knowledge capture

The overlap is in planning. The differentiation is in memory.

The Bottom Line¶

Dimension	Superpowers	AgentOps
Optimizes	Quality within session	Learning across sessions
Quality gate	Tests	8-aspect semantic validation
Failure catch	After implementation	Before and after
Knowledge	Ephemeral	Compounds

Superpowers makes Claude a disciplined engineer today. AgentOps makes Claude a domain expert over time.

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