Runeward vs PentAGI
Detailed side-by-side comparison to help you choose the right tool
Runeward
🔴Developersecurity
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
$0 (self-hosted)PentAGI
🔴Developersecurity
Open-source, fully self-hosted autonomous AI penetration-testing platform that runs a team of specialized AI agents with 20+ professional security tools in isolated Docker sandboxes for authorized security testing.
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FreeFeature Comparison
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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
- ✓Fully autonomous AI pentesting in sandboxed, isolated Docker containers. This directly supports the primary workflow.
- ✓Multi-agent team (orchestrator, researcher, developer, executor) with supervision agents.
- ✓20+ professional tools built in (nmap, metasploit, sqlmap, and more).
- ✓Smart memory plus Graphiti/Neo4j knowledge graph and pgvector store.
Cons
- ✗Plan prices can omit usage overages, model-provider charges, implementation work, taxes, or required seats.
- ✗Features and limits can change by plan, billing interval, region, and release; verify current documentation.
- ✗No native MCP support is documented in this record, so agent workflows may require API work or another integration layer.
- ✗A representative pilot is necessary because a feature list does not establish reliability or operational fit.
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