A.I.G (AI Infra Guard) vs Yansu: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of A.I.G (AI Infra Guard) and Yansu — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
A.I.G (AI Infra Guard)
Tencent Zhuque Lab
Tencent's open-source AI red teaming platform for scanning agents, agent skills, MCP servers and AI infrastructure, plus LLM jailbreak evaluation.
Key features
- Agent Skills Scan: Audits agent skill packages against a nine-category risk taxonomy aligned with the public SkillTrustBench T01-T09 classification, including detection of .pyc bytecode bypasses and charset smuggling.
- MCP Server Scan: Inspects MCP servers for threats such as tool poisoning, credential exfiltration and command injection, with tool whitelisting to prevent remote code execution during dynamic scanning.
- AI Infrastructure Vulnerability Scanning: Checks deployed AI components against a library that has grown to roughly 130 components and over 2,000 CVE rules, covering frameworks such as llama.cpp.
- Jailbreak Evaluation: Runs single-turn jailbreak operators plus multi-turn attack techniques including Many-Shot, PAIR, GOAT and ActorAttack to measure a model's resistance.
- Agent Scan with OWASP Coverage: Assesses running agents using OWASP-derived skills and web exfiltration detection, with a dedicated agent red team skill for comprehensive assessment.
- Standalone Scanner CLIs: skill-scan, mcp-scan and agent-scan each install as an independent command-line tool so scans can be wired directly into enterprise CI/CD pipelines.
- Docker Deployment with Web UI: Deploy the full platform with Docker on 4GB+ RAM and reach the web interface at localhost:8088, or use a one-click install script or a source build.
- AI Security Skill Market: A catalog of official security scanning skills, with the frontend fully open-sourced and integration available from OpenClaw chat via the aig-scanner skill.
Best for
- Pre-Deployment Agent Audit: Scan an internally built agent and its skill bundle for prompt injection, exfiltration and privilege risks before it is released to staff.
- MCP Supply Chain Review: Vet third-party MCP servers for tool poisoning and credential exfiltration before connecting them to production assistants.
- CI/CD Security Gate: Run skill-scan as a standalone CLI on every pull request so risky agent skills fail the build rather than shipping.
- Model Safety Benchmarking: Measure how a deployed LLM holds up against single and multi-turn jailbreak techniques before and after guardrail changes.
- AI Infrastructure Patch Triage: Inventory AI serving components and match them against the CVE rule library to prioritise which hosts need patching.
- Security Research and Reporting: Use the open scan engines and SkillTrustBench alignment as a reproducible basis for internal or published AI security research.
Yansu
Isoform
A proactive desktop agent that observes your work and turns it into reusable knowledge, handoffs, and automations without prompting.
Key features
- Proactive Observation: Continuously observes user activity (desktop, messaging, file interactions) and converts recurring patterns into structured knowledge without explicit prompting.
- Crystallized Context: Transforms raw activity into concise, reusable knowledge entries that can be surfaced to agents as a single relevant sentence instead of full transcripts.
- Bundled CLI Interface: Ships with a bundled yansu CLI that is the primary interface for integrations and handoffs, providing commands like status, login, and activity summary for continuity across sessions.
- Agent Skill Handoff: Provides a yansu.skill integration that hands a targeted slice of personal context to other AI agents on demand, enabling those agents to start 'warm' and avoid repeated re-introductions.
- Local Runtime & Bundles: Desktop app includes runtime bundles (bun, ffmpeg, sherpa-onnx, etc.) and runs locally; the CLI and binaries must be present for the skill and integrations to work.
- Background Operation & Auto-Update: Runs in the background and checks for updates shortly after launch and periodically (~every 30 minutes), applying new versions in-place and restarting the app automatically.
- Cross-Platform Desktop Client: Native installers and archives for macOS (.dmg), Windows (.zip) and Linux (.tar.gz) with checksums for download verification and platform-specific installation guidance.
- Native desktop clients for macOS, Windows, and Linux (distributions: .dmg for macOS, .zip for Windows, .tar.gz for Linux)
- Bundled absolute-path CLI as primary interface (examples: /Applications/Yansu.app/Contents/Resources/yansu-cli-bundle/bin/yansu status)
- Yansu.skill (SKILL.md) to integrate and hand off concise, relevant context slices to other AI agents
- Yansu Agent releases for syncing project knowledge with the Yansu cloud (optional component)
- Local observation that crystallizes user activity into structured knowledge usable for handoffs and automations
- Strict dependency on the bundled CLI — skill will error if the desktop app/CLI is not installed or running
- Auto-update mechanism: checks ~3 seconds after launch and every ~30 minutes; applies updates in-place and restarts the app
- Release artifacts include checksums.txt with SHA-256 hashes for verification
- Windows-specific bundling requires extraction (sherpa-onnx DLL and helper binaries must sit next to Yansu.exe); Linux binary expects sibling runtime bundles (bun-bundle, ffmpeg-bundle, etc.)
- Common CLI commands referenced: status, login, activity summary (used to verify running/signed-in state and request activity data)
Best for
- Continuity Across Sessions: Maintain context across days for long-running tasks so you don't need to re-explain project decisions when returning to work.
- Agent-Assisted Handoffs: Hand off an in-progress job to another team member or automated agent by providing the crystallized knowledge entry and required state through the CLI/skill.
- Contextual Agent Queries: When using conversational or task agents, surface only the single most relevant sentence of personal context so the agent can answer with knowledge about your preferences and prior decisions.
- Automating Repetitive Workflows: Detect repeatable sequences of actions and convert them into automations or documented handoffs to reduce manual repetition.
- Project Knowledge Syncing: Use the Yansu Agent releases/component to sync a project's local knowledge base with a central store for team onboarding and reduced ramp time.
- Local-First Privacy Workflows: Capture and use personal context locally via the bundled runtime and CLI to enable personalized assistance while minimizing unnecessary external exposure.
- Maintain continuity across days by capturing decisions and context so other agents start with relevant history
- Handoff entire jobs to teammates or agents without reintroducing context
- Surface concise, privacy-minded context snippets to chat agents when they need personal context
- Sync project knowledge bases locally and with cloud (via Yansu Agent) for developer workflows
- Enable automations and repeatable workflows based on observed user patterns