agentsview vs A.I.G (AI Infra Guard): Features, Pricing & Which Is Better (2026)
A side-by-side comparison of agentsview and A.I.G (AI Infra Guard) — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
a
agentsview
kenn-io
Local-first, open-source tool to browse, search, and track costs across 20+ AI coding agents from one binary.
Key features
- Unified Session Browser: Browse and search sessions across 20+ AI coding agents from one local UI.
- Local SQLite Indexing: Syncs all agent sessions into a local SQLite database for fast, fully local queries.
- Cost and Token Tracking: A fast, local ccusage replacement that tracks token use and cost across all agents with per-model breakdowns.
- Automatic Pricing: Pulls model pricing via LiteLLM rates with an offline fallback for accurate cost estimates.
- Flexible Deployment: Run as a single CLI binary, a macOS/Windows desktop app, or a published Docker image.
- Secure Loopback Access: Binds to loopback with Host-header validation and optional auth to guard against DNS-rebinding attacks.
Best for
- Tracking AI Coding Spend: Monitor daily token consumption and cost across every coding agent in one place.
- Searching Past Agent Sessions: Browse and search prior sessions from Claude Code, Codex, and other agents locally.
- Replacing ccusage: Use a faster, local cost-tracking tool that supports many agents instead of just one.
- Status Bar Cost Readouts: Pipe a one-line daily usage summary into a shell prompt or status bar.
- Self-Hosted Team Dashboards: Run the Docker image with PostgreSQL to serve usage analytics in a dev environment.
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.