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Intutic vs W&B Weave

Weights & Biases Weave is a developer tool built to trace LLM application graphs, log datasets, and evaluate prompt alignment metrics. Intutic is an active governance layer with opt-in egress containment (intutic enforce) and runtime isolation (intutic exec --sandbox) for autonomous agent fleets (see LLD #63).

The Core Difference

W&B Weave is designed for model tracing. It monitors call hierarchies, logging prompt inputs and responses to evaluate alignment and quality metrics. Intutic is designed for active enforcement. It sits inline on the agent's traffic and applies execution gates in real time, blocking a request before it reaches the model rather than reporting on it afterwards.

If your agent's next step is a tool call an SOP forbids, W&B Weave will log the API trajectory. Intutic sees that tool call in the request, matches it against the SOP in force, and kills the request before the model ever answers.


Comparison

CapabilityIntuticW&B Weave
Core ValueActive containment & sandbox securityTrajectory tracing & prompt evaluation
Isolation ModelWASM (wasmtime) policy sandbox — 16 MB, 1,000,000 fuel, 5 ms, explicit host-import allowlistNot available
Egress ControlOpt-in default-deny egress (intutic enforce) forces all traffic through the governing proxyN/A
Enforcement PathReal-time inline proxy — requests are blocked before they reach the modelAsync telemetry listener
Rule EngineDynamic WASM modules & custom security scriptsPrompt evaluation workflows
Target WorkloadAutonomous coding agents (Cursor, Claude Code)Chat applications, RAG pipelines

When to Choose Intutic

  • You deploy untrusted autonomous agents that need to execute code locally but must be walled off from sensitive networks or source code repositories.
  • You require isolated sandbox runs (intutic exec --sandbox) for per-run workspace isolation whose only egress is the governing proxy.
  • You need active, real-time protection against unauthorized files, commands, and network connections.
  • You want ready-to-use integrations for 41 agent harnesses.

When to Choose W&B Weave

  • You are optimizing RAG pipelines and need to visualize nested LLM call graphs and dataset traces.
  • You are fine-tuning models and need to log training datasets and prompt evaluations.
  • You do not require runtime isolation (intutic exec --sandbox) or opt-in firewall containment (intutic enforce).

The circuit breaker for AI agents