How is Sentience different from Amazon Bedrock AgentCore?
Sentience governs agents wherever you run them, on AWS, Azure, GCP, a private environment or a developer's machine: Sentience Governor is open source and runs locally beside your agents, and Runtime Enforcement and Secure Runtime are configured for your workflows. Amazon Bedrock AgentCore is AWS's managed agent platform; its policies allow, deny or log the calls that pass through AgentCore Gateway, priced per request. For teams evaluating alternatives to Amazon Bedrock AgentCore, Sentience can be tried today, free.
Is a gateway enough to govern AI agents?
A gateway governs the traffic that passes through it: model calls, MCP tool calls and agent-to-agent calls. Agents also act locally, writing files, running shell commands and calling local tools that never cross the network. Sentience governs at the execution boundary, beside the agent, so its integrations see and record those actions too. It runs alongside the models and LLM gateways you already use.
Is there a free way to start with agent governance?
Yes. Sentience Governor is open source under Apache-2.0 and runs locally beside your agent, with no account. It records and flags; it does not block.
Can Sentience block or correct an agent action?
Yes, with Runtime Enforcement, configured for your workflows: it redirects, pauses or stops actions at control points integrated with your environment, following your custom policy book. Sentience Governor, the free layer, is observe-only and fail-open; it records and flags.
Does Sentience map to ISO/IEC 42001 or the EU AI Act?
As a custom service, your policy book can be mapped to ISO/IEC 42001 and EU AI Act requirements. Mapping supports your own assessment; it is not a certification.
Which agents and frameworks does it work with?
Sentience Governor works with Claude Code, Codex and other coding agents, Pydantic AI, MCP clients, LangChain and LangGraph. Runtime Enforcement runs where your agents already run, on AWS, Azure, GCP or a private environment, alongside your models and LLM gateways. Records can be forwarded to the guardrails, evaluation and observability tools you already use.