Sandbox, Security & Governance tools for LangChain / LangGraph

Open-source CLI security scanner for agentic workflows. Scans your workflow’s source code, detects vulnerabilities, and generates an interactive visualization along with a detailed security report

Red-teaming and evaluation framework for AI agents, built around an OWASP-inspired ASI01–ASI10 taxonomy

Open-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drift in real time, before the agent acts.

Pre-execution firewall that intercepts, classifies, and blocks agent tool calls before they execute, with a compliance cockpit for real-time monitoring, human-in-the-loop approvals, and a tamper-evident audit trail. The zero-code-change integration makes runtime policy enforcement practical for existing agent deployments

Security-focused AI agent runtime for scanning prompt injection, MCP risks, unsafe package installs, and dangerous agent actions before execution

OWASP reference implementation for ASI06 (Memory Poisoning): runtime defense that screens every agent memory read/write through detectors + a declarative policy, with source-class provenance, forensic SecurityEvents, and snapshot rollback. LangChain/OpenAI-Agents/AutoGen/CrewAI/mem0 integrations

Local-first standard and reference verifier that checks agent intent, provenance, and evidence at the action boundary and fails closed before high-impact tool calls; Python CLI, MCP/LangGraph/OpenClaw integrations, HTTP bridge, and a language-agnostic conformance suite

Local Rust scanner for AI-agent prompt injection, credential redaction, sensitive-data requests, exfiltration-style text, and dangerous tool-call context

External: Formal verification scanner for AI agent skills (including Claude Code skills + MCP servers). 100% precision on 540-skill benchmark. ASBOM generation. arXiv:2603.00195

Deny-by-default contract layer for agent tool calls that adds Pydantic strict validation, ghost-argument stripping and retryable fix hints through one decorator, for any agent framework or MCP server

Security testing framework for AI agents that models tools as a graph to find dangerous tool chains, execution-level side effects, and multi-phase exploits

Report Generative Security Tool developed for the Generative AI Agents Developer Contest organized by NVIDIA and LangChain

Mixture-of-Agents using Groq This Streamlit