Intutic vs W&B Weave
Last reviewed: 2026-10-10
Intutic decides agent tool calls before they run, across 43 supported harnesses: native hook gates in 18 of them and in-process SDK gates in 17 allow or block the call (the other eight are governed through the proxies, a bridge or the harness they orchestrate), hook gates, SDK gates and the MCP governance proxy can hold it for human approval, and an opt-in default-deny egress firewall (intutic enforce) and sandboxed runs (intutic exec --sandbox) make sure the agent cannot route around it. W&B Weave, from Weights & Biases (part of CoreWeave), is a toolkit for tracing and evaluating LLM applications. Its scorers can act as guardrails: your code applies a scorer and decides whether to block or modify the response. Built-in Signals, such as jailbreak and NSFW detection, flag live traces; they monitor and do not block. Weave also traces MCP clients and servers, and a Claude Code plugin (public preview) traces coding-agent sessions. Weave helps you understand and improve an application; Intutic enforces what an agent is allowed to do.
Comparison
| Intutic | W&B Weave | |
|---|---|---|
| Primary job | Runtime enforcement and audit for AI agents | Tracing and evaluation for LLM applications |
| Where it enforces | Pre-execution gates inside the agent (native hook gates in 18 of the 43 harnesses, in-process SDK gates in 17 agent frameworks), plus request and response proxy, MCP governance proxy, egress firewall and sandbox | Scorers your application code applies as guardrails; built-in Signals flag live traces without blocking |
| Coding agents | 43 supported harnesses, including Claude Code, Codex, Cursor, GitHub Copilot, Windsurf and Cline | A Claude Code session tracing plugin (public preview, no PII scrubbing); W&B Skills and an MCP server for Claude Code and Codex. Tracing and analysis only, no enforcement |
| Decisions | Allow, warn, require approval (the call is refused and held for review; with a control plane, once a reviewer approves it the identical retry passes if the workspace has opted in, and with none it stays refused), block, redact, re-ask, shadow | Whatever your code does with a scorer's result |
| MCP | MCP governance proxy with a server registry, approvals and optional default-deny, approval holds, per-call identity, DLP, policy rules, anomaly detectors, trust-on-first-use pinning and tool-description poisoning detection | Traces MCP clients and servers |
| Containment | Default-deny egress firewall and sandboxed runs on Docker, Podman or Firecracker | Not part of the product |
| Source | Open core (MIT) | SDK is Apache-2.0 |
Where Weave is stronger
- Evaluation workflows. Scorers, datasets, comparisons and annotation queues for measuring application quality as prompts and models change.
- Developer tracing. Lightweight instrumentation of nested LLM calls, including MCP traffic; agent traces organized by session, turn, tool call and sub-agent; OpenTelemetry ingestion from the Claude Agent SDK, OpenAI Agents SDK, Google ADK and OpenClaw.
- The W&B ecosystem. Teams already using Weights & Biases for training and experiments keep everything in one place.
When to choose Intutic
- Your agents run commands, edit files and call MCP tools, and you need each call decided before it runs.
- You need egress control and sandboxing so an agent cannot reach the network except through governance.
- You want risky calls held for human approval.
When to choose W&B Weave
- You are building and evaluating LLM applications and want tracing and scoring in your code.
- You already use Weights & Biases for model development.
- Guardrails written into your own application cover your runtime needs.
Use them together
Weave can trace and score your application while Intutic gates the agent's tool calls and contains its network access. Neither depends on the other.