Comparison

governance-sdk vs the alternatives

Inline enforcement is different from a gateway proxy, different from observability, and different from offline evals. Here's exactly how we compare — strengths, weaknesses, and who each tool is actually for.

Three mechanisms, three trade-offs

We're describing where policy decisions are made and when, not ranking vendors. Most production teams end up with a mix.

Inline (in-process)

Policy runs in the same process as the agent framework, before the tool executes. No network round-trip. Availability coupled to the host process. This is governance-sdk's model.

Gateway / proxy

Traffic routes through an external service; the gateway decides. Availability and latency coupled to that service, but easier to deploy across heterogeneous languages and runtimes.

Observational / post-hoc

Captures traces and scores them after calls return. Doesn't gate execution. Great for debugging, evaluation, and session replay — orthogonal to pre-call enforcement.

Mechanism by product

Focused on how each product works, not how well it sells. For live feature sets, follow the homepage link — these descriptions can drift.

RunlayerAPI Gatewayrunlayer.com
How it works

External proxy that sits in front of MCP traffic. Policy decisions happen in a separate service and return over the network.

Where it overlaps us

Injection detection, kill switch, RBAC.

How it complements us

Pairs well with governance-sdk if you want a network-layer perimeter in addition to in-process enforcement at the framework level.

AgentOpsObservabilityagentops.ai
How it works

Instruments agent frameworks to capture session traces and reports on them after the fact. Does not block calls.

Where it overlaps us

Framework integrations (LangChain, OpenAI Agents, etc.).

How it complements us

Use alongside governance-sdk — send enforcement events from gov.events to AgentOps for session replay.

BraintrustEvaluationbraintrust.dev
How it works

Offline eval harness, dataset management, and production logging. Scoring runs against captured traces, not before-call.

Where it overlaps us

Logging, dataset tooling.

How it complements us

Route governance-sdk audit events into Braintrust for evaluation; keep enforcement in-process.

Custom middlewareDIY
How it works

Team-owned TypeScript/Python middleware. You write the policy engine, audit chain, injection patterns, and compliance mapping.

Where it overlaps us

Full control.

How it complements us

Reasonable choice for teams with dedicated infra engineers and 6+ months runway. Import governance-sdk primitives (e.g. supply-chain-cyclonedx, injection-patterns) à la carte to skip the parts you don't want to rebuild.

Matrix and descriptions last reviewed 2026-04-16. Spot something wrong? Email [email protected] or open an issue on GitHub.

Feature matrix

Feature@lua/govRunlayerAgentOpsBraintrustDIY
Inline enforcement (before execution)~
Zero runtime dependencies~
In-process enforcement (no network)n/an/a~
54-pattern injection detection (regex F1 ≈ 0.48)~
HMAC-chained tamper-evident audit~
Agent governance scoring (L0–L4)
EU AI Act compliance module
Kill switch + fleet revive~
Mastra / Vercel AI SDK adapters~
LangChain + OpenAI Agents SDK~
Enterprise RBAC + multi-tenancy~
Open source (MIT)
Free tier
supported not supported~ partialn/a — not applicable

Try it in 2 minutes

Inline enforcement. Zero dependencies. MIT license. Start free.

npm install governance-sdkQuickstart →