Runeward vs PentAGI

Detailed side-by-side comparison to help you choose the right tool

Runeward

🔴Developer

security

Governed execution cells for AI agents: declarative profiles provision isolated Docker or Kubernetes sandboxes with deny-by-default egress, policy gates, human approvals, guardrails, and a tamper-evident audit ledger.

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Starting Price

Custom

PentAGI

🔴Developer

security

Self-hosted, autonomous AI penetration-testing platform that runs security tests in an isolated Docker sandbox using a team of specialized agents.

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Starting Price

Custom

Feature Comparison

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FeatureRunewardPentAGI
Categorysecuritysecurity
Pricing Plans6 tiers214 tiers
Starting Price
Key Features
    • Autonomous exploitation with monitoring
    • Specialized agent delegation
    • Sandboxed pro toolset

    Runeward - Pros & Cons

    Pros

    • Apache-2.0 licensed and self-hostable end to end, no vendor lock-in on the control plane
    • Every entry surface — REST, dashboard, CLI, MCP — funnels through the same policy pipeline
    • Signed hash-chained audit ledger is verifiable independently of Runeward, which matters for compliance
    • Native adapters for seven mainstream agent frameworks, so onboarding an existing agent is a small refactor
    • Cost guardrails (token, exec, wall-clock, egress) plus retry-loop detection catch runaway agent spend

    Cons

    • Kubernetes backend brings real operational weight: CRDs, admission webhook, NetworkPolicy, PSA config
    • Policy authoring skill required — teams unfamiliar with CEL or OPA-Rego will face a learning curve
    • Pre-1.0 project without published SLAs; no commercial support tier listed on the site
    • Effectiveness depends on how tightly your declarative profiles are written; a permissive profile trivially undermines the guarantees

    PentAGI - Pros & Cons

    Pros

    • 20+ pro security tools plus multi-agent delegation, all sandboxed — significant setup work you don't have to do
    • Deep observability (Langfuse + Grafana + Jaeger + Loki) is rare in security tooling and makes agent behavior debuggable
    • 10+ LLM providers plus custom endpoints means you can run fully offline with Ollama or cheap via OpenRouter

    Cons

    • Autonomous exploitation is dangerous without security expertise — not a beginner tool
    • Self-hosted only; no managed SaaS option
    • Overlap with breach-and-attack-simulation products may mislead buyers — PentAGI is investigative, not scenario-based

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