Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
The Open Runtime for AI Agents
The Ultimate Open-Source Security Arsenal for Hackers, Enterprises, and AI Agentsโโ้ขๅๆๅฎขใไผไธไธ AI ๆบ่ฝไฝ็ๅ จๅๅผๆบ็ฝ็ปๅฎๅ จๅทฅๅ ท็ฉ้ต
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
agent runtime security - zero trust, zero setup, zero latency agent sandboxing
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
The cross-harness, self-improving memory layer for AI agents. Join our community: https://discord.com/invite/zdNChS2fBu
Agentic LLM Vulnerability Scanner / AI red teaming kit ๐งช
Visibility into AI agent activity on endpoints, with on-device detection, optional pre-action blocking, and forensic reconstruction.
Open-source antivirus for AI agents: block risky tools, secret access, prompt injection, malicious packages, MCP servers, plugins, and skills at runtime.
Open-source AI agent firewall for MCP security and agent egress. Scans mediated HTTP, MCP, A2A, and WebSocket traffic for exfiltration, SSRF, and prompt injection, and emits mediator-signed action receipts: verifiable audit evidence from outside the agent.
Red-teaming and evaluation framework for AI agents, built around an OWASP-inspired ASI01โASI10 taxonomy
The independent security agent for AI-written software. Finds issues, investigates whether they are real, and shows you the evidence. Deterministic core, no API key needed, JSON and SARIF output.
Runtime security for AI apps and agents: prompt injection detection, tool-call authorization, sensitive-data redaction, bot protection, and rate limiting. Drop it into your JS/TS code.
An execution-authority gateway for AI agents and APIs. It intercepts consequential HTTP actions, asks Decionis whether they are authorized, and forwards exactly the authorized request once on a single-use grant, holds it for a person, or refuses it, leaving chained evidence of each. Installs by Homebrew, Linux package, Docker or Helm.
Think before doing, prove before saving. Vestige is a local, deterministic safety kernel for AI agents. Every memory write and agent action is recorded in Strata, an append-only log, so you can see exactly what your agent did and why.
ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.
Authority control plane for autonomous work. EMILIA Gate enforces finite customer-owned mandates at protected executor boundaries; the open protocol keeps evidence verifiable.
Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that measures how skills affect agent behavior.
Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch. Zero code changes.
๐ก๏ธ Security audit CLI for Model Context Protocol (MCP) servers โ scan AI agent configs for tool poisoning, rug pulls, hardcoded secrets, command injection & supply-chain risks. Pure Python, SARIF + CI ready.
DodoGuard: Take AI Agents to Production. Test, validate, and operate AI Agents before and after deployment.for Dify, Coze, FastGPT, n8n, Tencent ADP, ByteDance HiAgent, and more.
Local-first, open-source security gateway for AI coding agents. Enforce tool-call policies, detect secrets, and audit actions on-device.
Tamper-evident tracing, policy gates and cross-checks for AI agents: see what the agent did, and why.
Testing and observability for multi-agent delegation, MCP tools, permissions, sandboxed actions, prompts, and workflow replay.
Six security outcomes an enterprise must achieve to run AI agents, and the controls that evidence them. A draft for public comment.
GUI / Computer-Use / Browser Agent ๅฎๅ จ่ฎบๆๆธ ๅ โโ ๆๆป้ฒ่ฝด็ป็ป๏ผๆฏ็ฏ้ไธญๆ็ฎไป
Security control plane for AI agents โ identity and delegation, capability policy, data-flow taint and a live audit trail, enforced over MCP. Guards a real Claude Code end to end.
Minimal Ed25519-signed activity receipts for verifiable AI agents โ self-attested, offline-verifiable, no blockchain.
Research artifacts for provenance-bound agent authorization, signed effect evidence, and reproducible security evaluation.
DVLAA (Damn Vulnerable LLM and Agent Application) is a local LLM and Agent security range for OWASP LLM Top 10 and Agent security training.
reconnaissance for agent attack surfaces
Verify what AI coding agents can actually read, write, execute and reach using synthetic canaries.
The gate between an AI agent and real money. Runtime authorization for financial AI agents: structured intent, deterministic policy, human approval, execute-once gateway, tamper-evident receipts. Open core, Apache-2.0.
Agent Canary 3.0: open-source MCP, SDK, and CLI security toolkit with a guarded execution gateway, decoy signals, local tests, and public acceptance evidence.
The execution safety layer for AI agents.
Soup Wall: open-source security for AI agents and model traffic. Local Agent, Gateway, self-hosted Console. Apache-2.0.
Governed AI agents for sensitive data and business-critical apps. Agents never hold credentials: a gateway checks every call against per-resource permissions, and each answer runs in a sealed container.