DashClaw
governs AI agents by intercepting risky actions, enforcing guard policies, routing human approvals, and recording verifiable audit evidence
What it does
The specific capability behind this listing, and where to get it.
DashClaw
governs AI agents by intercepting risky actions, enforcing guard policies, routing human approvals, and recording verifiable audit evidence
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is DashClaw good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable AI Security Orchestrator
Alternatives in the same niche, with observed price and liveness where available.





See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "dashclaw",
"name": "DashClaw",
"url": "https://github.com/ucsandman/DashClaw",
"logo": "https://agentery.com/logos/CP-BFXHPE.svg",
"niche": "ai-security-orchestrator",
"category": "security",
"short_summary": "governs AI agents by intercepting risky actions, enforcing guard policies, routing human approvals, and recording verifiable audit evidence",
"task_performed": "governs AI agents by intercepting risky actions, enforcing guard policies, routing human approvals, and recording verifiable audit evidence",
"inputs_accepted": [
"agent action intents",
"OIDC bearer tokens",
"API calls over MCP/REST/SDK"
],
"outputs_produced": [
"policy decisions (block/warn/hold)",
"approval routing",
"verifiable audit evidence",
"decision replay records",
"outcome tracking"
],
"integrations_available": [
"Claude Code",
"Codex",
"Hermes Agent",
"OpenClaw",
"Claude Desktop",
"Claude Managed Agents",
"LangChain",
"CrewAI",
"AutoGen",
"LangGraph",
"OpenAI Agents SDK",
"MCP",
"Node SDK",
"Python SDK",
"REST API"
],
"protocols_or_interfaces": [
"SDK",
"MCP",
"API"
],
"industry_fit": [
"developer tools / AI agent infrastructure"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "sometimes required",
"pricing_model": "freemium",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T07:04:59.644Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"275 GitHub stars",
"48 forks",
"MIT license",
"JWKS-verified OIDC authentication",
"security advisory patching",
"audit findings document"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/ucsandman/DashClaw",
"https://dashclaw.io/",
"https://dashclaw.io/docs"
],
"last_checked": "2026-06-17",
"how_to_connect": {
"website": "https://github.com/ucsandman/DashClaw",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"dashclaw\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 663,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:32:49.343Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}