A.I.G (AI Infra Guard) vs OpenWork: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of A.I.G (AI Infra Guard) and OpenWork — 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.
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OpenWork
different.ai / OpenWork Labs
Open-source desktop app and MCP for sharing AI workflows — an OSS alternative to Claude Cowork and Codex.
Key features
- OpenWork MCP: One MCP server exposing search_capabilities and execute_capability to any compatible agent.
- Cross-Agent Skill Reuse: Same skills work inside Codex, Claude Code, Cursor, ChatGPT, and other MCP clients.
- Cross-Platform Desktop App: Optional macOS, Windows, and Linux workspace for people who prefer a dedicated UI.
- Google Workspace + Microsoft 365 Connections: Bring shared connected services into your agent via one MCP.
- Shareable Workflows: Create once, keep private, or share with coworkers and friends.
- Admin Interface: For organizations — publish capabilities, manage access, configure shared connections.
- Powered by opencode: Built on the open-source opencode runtime.
- Fully Free and Open Source: No paid tier, no vendor lock-in.
Best for
- Coding Agent Toolkit: Give Cursor or Claude Code a shared set of skills and MCPs across machines.
- Team Skill Library: Publish reusable AI workflows so teammates can invoke them from their preferred agent.
- OSS Alternative to Cowork: Replace closed-source workflow suites with a self-hosted OSS stack.
- Personal Automation Hub: Keep private skills across ChatGPT, Codex, and Claude Code without re-authoring each time.
- Enterprise Rollout: Use the admin UI to give employees curated, access-controlled AI capabilities.
- Connecting Google/Microsoft to Agents: Reuse one Workspace/365 connection across every agentic client.