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SelectAgent Verify | Outcome verification for agents
Check whether an agent's intended action actually happened. SelectAgent Verify compares expected outcomes with receiving-system evidence and returns a bounde...
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85 % |
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Horizon Orchestra
Verify business actions and recovery across multi-step AI workflows. Independent read-back checks, stable retries, and a Rust verification engine.
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84 % |
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Invariant — Pre-execution validation for production agents
Invariant is the pre-execution control layer for production agents. It blocks bad tool calls by validating every action against shared world state before exe...
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84 % |
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VertRule — Prove What Happened When AI Workflows Fail
VertRule helps teams prove what happened across agent actions, provider behaviour, and system execution.
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84 % |
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Pantheon OS — The control layer between AI and action
Pantheon is the independent commit and accountability layer for consequential AI actions: current evidence, authority, controlled execution and durable outco...
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84 % |
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AgentLedger — Verifiable Records for AI Agent Actions
AgentLedger is an open-source Python SDK for creating verifiable, human-readable evidence records of consequential AI-agent actions.
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84 % |
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Assevra — Find agent failures before your users do
Open-source agent evaluation with actionable findings, explicit release gates, and portable evidence. Connect captured runs, fix failing cases, and verify th...
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84 % |
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HunchGo — Ideas into motion
HunchGo designs dependable AI agents that turn business ideas into measurable action.
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83 % |
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Vulnify: runtime authorization layer for AI agents
Decide every AI agent action before it runs. Vulnify answers ALLOW, REVIEW, or BLOCK with a 0-100 risk score, the reasons, and a hash-chained audit trail.
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82 % |
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LoopGrid — Verifiable evidence for consequential AI decisions
LoopGrid is decision evidence infrastructure for consequential AI systems and agents. Explore a synthetic action workflow, inspect cryptographically signed e...
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82 % |
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Human-AI Agent Working Agreement for VS Code | SoloMap
Define outcomes, boundaries, authority, evidence, and project memory so AI coding agents stay aligned across sessions in your local VS Code workspace.
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82 % |
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Agent Action Capsule — a verifiable record of what an AI agent did
As AI agents start taking consequential actions, the only proof one happened as intended is the operator's word. An Agent Action Capsule is a tamper-evident,...
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82 % |
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ATOROS — The System of Action
ATOROS is the single trusted execution layer between your applications, data, and AI agents, turning insight into atomic, governed, real-time business transa...
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82 % |
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AgentAction — Control what agents do. Prove what happened.
AgentAction evaluates agent decisions, enforces policy before actions execute, and checks outcomes against the intended job.
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82 % |
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AgentK — Effect integrity for AI agents
AgentK is the effect-integrity layer between AI-agent intent and consequential real-world tool actions. Block unsafe retries, preserve uncertainty, reconcile...
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82 % |
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Pruvz | The Business Evidence Layer for AI Agents
Pruvz is the business evidence layer for AI agents: it verifies high-impact agent actions against your systems of record and turns outcomes into business int...
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82 % |
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Verify AI agent actions before tools run | ActionRail
ActionRail by ToolJet is an open-source runtime enforcement layer for AI agents. Check proposed tool calls against policy and live systems of record before e...
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82 % |
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AI Agent Guardrails & Approval Workflows | Gatewise
Control AI agent actions before execution. Gatewise applies deterministic guardrails, business policies and human approval workflows to your agent tools.
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82 % |
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Aftergraph — Verifiable Intelligent Systems
Aftergraph — infrastructure and open research for verifiable intelligent systems. Governed agents, durable execution, evidence and independent verification.
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82 % |
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ACGS - Control what your AI agents can do
Set boundaries for AI agent tool calls, Python actions, and cloud plans. Explore local evaluation guides, decision outcomes, and source-backed product evidence.
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81 % |
Detected social media networks