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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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87 % |
|
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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87 % |
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Quasentra — Control every agent action
Quasentra limits what AI agents can do before tools execute.
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87 % |
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Night Agent — Secure your AI agents
Night Agent adds a local policy layer between AI agents and the computer, so teams can review, allow, block, or isolate actions before execution.
|
86 % |
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Aegivora Cloud · Control every authorized agent action
Control AI agent access to tools and data. Aegivora combines explicit policy, local AI diagnostics, exact-action approvals and encrypted records in a dedicat...
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86 % |
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Backplanes: intent-based visibility and control for AI agents
Backplanes turns your business rules into policy your agents have to follow, enforces it while they work, and records the reason behind every decision.
|
85 % |
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Tria - See and Control AI Agent Actions
Tria shows what AI agents actually do in production, finds risky behavior patterns, and helps teams block unsafe actions before they run.
|
85 % |
|
OpenAnimus | Trusted context into reviewed agent work
OpenAnimus is a local-first cockpit for routing AI work, collecting evidence, staging human review, publishing approved outcomes, and remembering what happened.
|
85 % |
|
Runtime Security for AI Agents | Aten Security
Thoth evaluates consequential AI-agent tool calls in context, returns policy decisions, and preserves evidence for review.
|
85 % |
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Decree
Centralized approval workflows for AI agents and automation.
|
85 % |
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Cippax — AI can ask. You decide.
Cippax is building a consent layer for AI agents. Your agent proposes. You decide. The system enforces the boundary.
|
85 % |
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Ongil AI | The Accountability Engine
We prevent AI agents from making decisions they haven't been proven to handle. Patent-pending decision verification. Compliance evidence generated during build.
|
85 % |
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AffixIO | The Trust Layer for AI Agents
AffixIO helps applications verify eligibility and agent permissions before actions. Explore local proof workflows, signed outcomes and the Agentic Pay Kit SDK.
|
85 % |
|
AI Authorization Layer for Agents | Permission Protocol
Control AI agent actions with policy checks and human approval. Add authorization to configured MCP tool calls and GitHub workflows, with records for review.
|
85 % |
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ObserveAgents | AI Agent Observability
The runtime visibility and control layer for AI agents — see what your agents are actually doing. Runtime evidence, security findings, and Gateway control re...
|
85 % |
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lagstyr — keep control when AI agents act
Lagstyr is the operating authority layer for agent-run companies: let agents act inside exact limits, stop at policy boundaries, and keep an independent reco...
|
85 % |
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Relevance AI - A working prospecting agent one command away
Evidence-led prospecting inside your AI agent.
|
85 % |
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Orvessian | AI governance and verification
A governance workspace for AI activity, outcomes and independently checkable evidence.
|
85 % |
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Omnet, Powerful AI agents. Clear human control.
Omnet builds security systems for teams building and operating powerful AI agents, starting with AgentWall.
|
84 % |
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DriftGard — Give your AI agents boundaries.
Control business-agent tool calls with policies and human approval. Monitor coding-agent activity, investigate findings, and keep decision evidence in one pl...
|
84 % |
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