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github.comrepo🧠 AI

rikugan: LLM reverse-engineering agent for IDA Pro and Binary Ninja

Rikugan is a reverse-engineering agent that runs inside IDA Pro and Binary Ninja. It has its own generator-based agent loop, context management, plan mode and 60+ tools, and does not depend on an external MCP server. An orchestrator spawns parallel subagents to analyze a binary. It supports Anthropic, Gemini, MiniMax, Kimi, OpenAI-compatible endpoints and Ollama, with per-model notes.

IDA ProBinary NinjaHex-Rays+6
RikuganClaude Opus 4.6Claude Sonnet 4.6+6

agents, coding-agents· Added 30 Oct 2026

github.comrepo🛡️ Security

rikugan: LLM reverse-engineering agent for IDA Pro and Binary Ninja

Rikugan is an open-source reverse-engineering agent that runs inside IDA Pro 9.0+ and Binary Ninja, with its own agent loop instead of an MCP server. It has 60+ tools (decompiler, xrefs, strings, types, IL/microcode), parallel subagent exploration, an experimental /modify natural-language patching command and an experimental Binary Ninja deobfuscation skill for control flow flattening and opaque predicates. It supports Claude, Gemini, MiniMax, Kimi, OpenAI-compatible endpoints and Ollama.

IDA ProBinary NinjaLLM+3
control flow flatteningopaque predicatesMBA expressions+1

Malware & RE, AI Security· Added 30 Oct 2026

github.comrepo🧠 AI

Show HN: Omnara – Open-source alternative to Claude Managed Agents

Omnara is an open-source, self-hostable managed agent platform, an alternative to Claude Managed Agents and OpenAI's Agents API. It runs agents on any model (OpenAI, Anthropic, OpenRouter, Bedrock, LiteLLM, Ollama) and any machine, with Postgres-backed durable state, stateless workers, per-tool permissions, MCP, skills, memory, subagents, schedules and Slack, Discord and GitHub triggers. It ships a REST API, TypeScript SDK, CLI and Docker Compose setup.

Model Context ProtocolTypeScriptNode.js+14
OmnaraClaude Managed AgentsOpenAI+2

agents, ai-infra, mcp· Added 23 Oct 2026, published 21 Oct 2026

x.comrepo🧠 AI

Saylor (@Kev96790724) on X

G-Krusch is an MIT-licensed, local-first Google Workspace hub built on Node.js 22 and SQLite WAL. It runs a 12-tool MCP server (SSE and Stdio) plus a REST bridge on port 5446 for Drive, Calendar and Gmail. It includes a 1,024-dimension hybrid Drive RAG with an embedding cascade (Ollama bge-large, then Gemini, then offline fallback) and FTS5 BM25. PDF extraction returns page citations. Tokens are kept in an AES-256-GCM vault; 30 of 30 tests pass.

Model Context ProtocolNode.jsSQLite+5
G-KruschKrusch CompanionKruschNexus+1

mcp, llm-apps, coding-agents· Added 21 Oct 2026, published 19 Oct 2026

github.comrepo🧠 AI

Show HN: Apogee: Rebuilding Mozilla's Orbit, fully local and private

Apogee is a privacy-first browser extension (Chrome/Firefox) that summarizes articles, YouTube/Bilibili videos, PDFs, DOCX and pasted text entirely on-device, inspired by Mozilla's discontinued Orbit. It runs models via WebGPU or WebAssembly in the browser, or connects over loopback to a local Ollama or llama.cpp server, with local passage retrieval for Q&A, grounded sentence highlighting, and Opus-MT translation. It shows a practical no-backend, no-API-key architecture for local LLM apps, with a Node.js extractor test harness for contributors.

WebGPUWebAssemblyOllama+4
ApogeeMozillaOrbit+2

inference, llm-apps· Published and added 9 Oct 2026

github.comrepo🧠 AI

Microsoft Agent Framework python-1.20.0 release

Release notes for python-1.20.0 of Microsoft's Agent Framework, an open-source agent/workflow orchestration library. This release adds native vector-store connectors for DuckDB, SQL Server and MongoDB plus a TypeSafe AI connector, redesigns Foundry hosting around request-scoped agent factories and sandbox-isolated sessions, adds computer-use support to Responses clients, and ships Magentic manager and handoff-routing improvements for multi-agent orchestrations alongside a large batch of MCP, Bedrock, Gemini, Anthropic and Ollama provider fixes.

Model Context ProtocolPythonDocker+7
MicrosoftMicrosoft Agent FrameworkDuckDB+4

agents· Added 6 Oct 2026

github.comrepo🧠 AI

Bifrost (Maxim AI) — open-source LLM gateway

Bifrost is an open-source, high-performance LLM gateway (by Maxim AI) that exposes a single OpenAI-compatible API across 23+ providers including OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Cohere, Mistral, and Ollama. It provides automatic failover, load balancing, semantic caching, Model Context Protocol (MCP) tool integration, budget and governance controls, OIDC user provisioning, and Prometheus-based observability, deployable via npx or Docker with claimed sub-15 microsecond overhead at 5,000 RPS. It is positioned as a drop-in replacement requiring only a base-URL change for existing OpenAI, Anthropic, or GenAI SDK code.

DockerGoModel Context Protocol+4
Maxim AI

ai-infra, mcp· Added 2 Oct 2026

github.comrepo🛡️ Security

Sift — Open-Source Secrets/Credential Scanner

Sift is Stratus Security's open-source successor to Snaffler: a Native AOT credential/secrets scanner for pentesters that crawls local drives, SMB shares/subnets, Active Directory, SharePoint/OneDrive/Teams, Slack, and Jira/Confluence for exposed secrets. It supports Kerberos/NTLM/pass-the-hash authentication, resumable checkpointed scans, a JSON rule/ignore-rule system compatible with Snaffler's detection catalogue, and optional local-LLM (Ollama) validation to cut false positives without sending sensitive findings to a cloud API.

.NETActive DirectoryMicrosoft 365+3
Snaffler

Offensive Security· Added 30 Sep 2026

github.comrepo🛡️ Security

garak v0.17.0 — LLM vulnerability scanner release

Release notes for garak v0.17.0, NVIDIA's open-source LLM vulnerability scanner used for red-teaming and probing models for jailbreaks, prompt injection, data leakage and other failure modes. The release adds an EU AI Act risk-category mapping to tag and group probe results, plus fixes to detectors (agent_breaker judge verdict validation, packagehallucination import parsing, MarkdownExfilContent divide-by-zero, TriggerListDetector alignment) and probes (badchars ASCII selection, Markdown exfiltration link templates), along with Ollama generator improvements and dropped Python 3.10 support in favor of 3.13.

OllamaPython
EU AI ActAgentBreakerIntentProbe+2

AI Security· Added 29 Sep 2026

github.comrepo🛡️ Security

garak v0.17.0 — adds EU AI Act risk-category mapping

garak is NVIDIA's open-source LLM vulnerability scanner that runs probes/detectors for jailbreaks, prompt injection, PII leakage, package hallucination, markdown exfiltration and more against LLM targets. This v0.17.0 release adds a new EU AI Act risk-category mapping to tag and group probe results by the Act's risk categories, alongside fixes to the agent_breaker judge, markdown-exfiltration detectors, Ollama auth/generation support, and dropped Python 3.10 in favor of 3.13 support.

garakOllamaAWS Bedrock+2
EU AI Act

AI Security· Added 26 Sep 2026

github.comrepo🛡️ Security

DVLAA

DVLAA (Damn Vulnerable LLM and Agent Application) is a self-hosted, Docker-deployable security training range for LLM and agent applications, modeled on the DVWA concept but for AI. It covers OWASP LLM Top 10 and Agent Security Top 10 risks (prompt injection, RAG poisoning, tool abuse, memory poisoning, excessive resource consumption, etc.) through 81 hands-on challenges, including an "AWDP" attack/defense track where 10 challenges reproduce real disclosed vulnerabilities in Dify, RAGFlow, Langflow, Flowise, Open WebUI and n8n (with optional real upstream container reproduction), 20 challenges adapted from a China–ASEAN AI security CTF, and 6 challenges adapted from a real model-poisoning CTF. It provides real model interaction, state-machine flag verification, source/prompt viewers, model management (local, Ollama, SiliconFlow, OpenAI-compatible), and bilingual UI.

DifyRAGFlowLangflow+3
OWASP Top 10 for LLM ApplicationsOWASP Top 10 for Agentic Applications

AI Security, Learning· Added 22 Sep 2026

github.comrepo🛡️ Security

Lonkero — Rust web vulnerability scanner (v3.7, AI agent mode)

Lonkero is an open-source Rust web vulnerability scanner (v3.7) combining 125+ context-aware scanners with an AI agent mode that drives targeted scans via natural-language conversation (using Claude, GPT, or local Ollama models). Notable techniques include a browser-free "proof-based" XSS engine that mathematically proves exploitability from reflection context + escape behavior, an "OOBZero" engine for detecting blind SQLi/SSRF/XXE via Bayesian multi-channel statistical inference and Pearson-correlated timing attacks without external callback infrastructure, Next.js middleware-bypass detection (CVE-2025-29927, CVE-2024-34351), AWS Cognito user-enumeration checks, and a scanner module that detects invisible prompt-injection payloads hidden in README.md files targeting AI coding assistants.

RustClaudeOllama+3
CVE-2025-29927CVE-2024-34351CVE-2023-23752+6

AppSec, AI Security, Offensive Security· Added 21 Sep 2026

github.comrepo🛡️ Security

awarexone/Agentic-Bug-Hunter

Agentic-Bug-Hunter is an open-source CLI (bughunter) and Claude Code plugin that automates the bug bounty pipeline end-to-end: recon, vulnerability hunting across 26 web2 and 10 web3/smart-contract bug classes, a "7-Question Gate" validation step to kill weak findings, and submission-ready report generation for HackerOne, Bugcrowd, Intigriti, and Immunefi. It orchestrates existing scanners (subfinder, httpx, nuclei, katana, ffuf, dalfox) behind a multi-provider LLM layer (Ollama, Groq, DeepSeek, Claude, OpenAI) and cross-session "hunt memory," and also ships an MCP server for use from Cursor, Codex, or OpenCode.

Claude CodeModel Context ProtocolOllama+3
BugcrowdIntigritiImmunefi+2

Offensive Security, AI Security, AppSec· Added 21 Sep 2026

github.comrepo🧠 AI

AnotiaWang/awesome-decision-models

A community-maintained GitHub list cataloging "decision models" (also called System One models): small/fast models that take a state plus caller-declared questions (Noul/true-false, Choice/multi-option, Score/rubric) and return a probability per answer in one forward pass, rather than generating text. It tracks the originating TypeSafe AI Jev model and its /v1/systemone API alongside competing hosted models (Upstage Solar Decide, Liquid AI's d1, OpenAI's Decisions API, Inception's Mercury Decide, Respan's Span-01), dozens of open-weight fine-tunes (Cloudflare's Clef, Perplexity's pplx-decider, AWS Strands Decider, Together AI's Tev1, and many Qwen3.5-based community models), zero-training logit-reading approaches, local runtimes (Ollama, Ollaya, llama.cpp-based servers), SDKs across a dozen languages, and a very long list of agent/coding-tool/MCP integrations (browser agents, code review, routing, game-playing demos) that use these models for fast, typed, in-the-loop decisions. The page is truncated at 40k of ~51k characters, so later sections (further toys, demos, and possibly benchmarks) are not reflected here.

Qwen3.5Qwen3.8-27Bllama.cpp+15
TypeSafe AIJevJevBench+33

models, mcp, agents· Added 2 Oct 2026, published 17 Sep 2026

github.comrepo🛡️ Security

RepoGuardBench

RepoGuardBench is a benchmark and accompanying paper that measures whether local open-weight coding agents (Qwen2.5-Coder 1.5B-14B via Ollama) stay on the bug-fix task when repository artifacts — README files, issue text, code comments, test logs, and agent-rule files — carry inert prompt-injection instructions. It evaluates five lightweight context- and action-level defenses (D0-D5, including a path-only action gate) across seven metrics in a sandboxed task workspace, finding no statistically clear utility winner among them. The project ships a deterministic no-GPU smoke test, paper-claim verification scripts, and reproducible tables/figures under MIT (code) and CC BY 4.0 (data) licenses.

QwenOllamaClaude

AI Security· Added 22 Sep 2026, published 13 Sep 2026

github.comrepo🧠 AI

iamzulx/crypto-rag

crypto-rag is an Indonesian-language CLI crypto assistant that pairs a static knowledge-base RAG pipeline with live market data tool calls, built on the principle that volatile numbers (price, funding rate, TVL, sentiment) must never be embedded in the vector store since they go stale instantly. It implements hybrid retrieval (BM25 keyword search + FAISS dense embeddings fused via Reciprocal Rank Fusion) over a 146-topic knowledge corpus, an optional cross-encoder reranker, and an intent router that dispatches price/derivatives/on-chain/sentiment queries to live sources (Binance, DefiLlama, Fear & Greed Index) versus concept questions to the corpus. A tool-calling agent handles multi-step queries, and an OpenAI-compatible LLM synthesis layer (works with StepFun, OpenAI, Groq, LM Studio, Ollama) grounds answers with citations and falls back to extractive answers when no LLM is configured.

FAISSBM25Python+2
BinanceOKXBybit+14

llm-apps, agents· Added 2 Oct 2026, published 5 Sep 2026

github.comrepo🧠 AI

rollroyces/py-idp

py-idp is a Python framework for intelligent document processing with a six-stage pipeline (parse, classify, extract, assess, validate, human review). It supports 23 LLM backends including OpenAI, Anthropic, Ollama, and self-hosted Nanonets-OCR2-3B. It adds Pydantic schema extraction, auto-chunking of oversized documents, an eval harness, and a review-driven policy update for confidence. It is dual-licensed AGPL-3.0 and commercial.

PythonPydanticFastAPI+11
Nanonets-OCR2-3BAnthropicOpenAI+6

llm-apps, ai-infra, evals· Added 23 Oct 2026, published 31 Aug 2026

github.comrepo🛡️ Security

galyarder-security

galyarder-security (formerly Shannon Proxy) is a Docker/Temporal-based auditing layer that intercepts model SDK calls (Anthropic, Groq, local Ollama, etc.) and routes them through a local proxy on port 8317 rather than direct cloud endpoints, giving operators visibility into and control over what autonomous coding/tool-using agents execute. It runs structured "security sweep" and threat-modeling workflows against a target repo (`./shannon start`) and includes deterministic cleanup routines (`./shannon cleanup`) to remove agent-generated scripts and execution residue and prevent workspace pollution/exposure. It targets a threat model broader than chat-based prompt injection: agent tool-execution drift, dependency supply-chain issues, and unverified code paths in "agentic company" shell-access workflows.

DockerLiteLLMOpenRouter+3

AI Security· Published and added 31 Aug 2026

github.comrepo🛡️ Security

numasec

numasec is an open-source AI security agent that runs in the terminal, wrapping a user-chosen LLM (OpenAI, Anthropic, Google, Bedrock, Ollama, etc.) with an operation kernel that tracks target scope, runbooks, findings, evidence, replay, and reports across a security engagement. It orchestrates local tools such as nmap, sqlmap, ffuf, gobuster, nikto, nuclei, trivy, and checksec, and is aimed primarily at authorized AppSec triage and Pentest workflows, with OSINT, CTF, and cloud surfaces marked as less mature.

BunDockerNmap+3

AI Security, Offensive Security, AppSec· Published and added 27 Aug 2026

github.comrepo🛡️ Security

agentgg

agentgg is an open-source, agentic SAST scanner that uses LLM agents to read source code, follow imports, trace the call graph, and confirm findings before reporting — aiming to reduce the pattern-matching false positives of traditional SAST. It runs locally or as a hosted service, supports full-repo scans or git-diff PR review, and works with multiple model providers (Anthropic, OpenAI, AWS Bedrock, Google Vertex AI, OpenRouter, Ollama); agents are defined as markdown files with YAML frontmatter and are pulled from a community agents catalog.

Node.jsnpmAnthropic+3

AppSec, AI Security· Published and added 23 Aug 2026

github.comrepo🛡️ Security

Deep Eye

Deep Eye is an open-source Python pentesting framework that orchestrates 11 AI providers (OpenAI, Claude, Grok, Gemini, Ollama, Groq, Mistral, OpenRouter, LiteLLM, LM Studio, and more) with automatic failover to generate context-aware attack payloads for 50+ vulnerability classes including SQLi, XSS, SSRF, IDOR, JWT and GraphQL flaws. It adds an RAG-indexed CVE intelligence DB built from NVD/MITRE/Exploit-DB, AI-based finding triage and false-positive filtering, Nuclei-style YAML templates, Playwright browser automation, CAPTCHA-solving (reCAPTCHA/hCaptcha/Turnstile/Arkose), mitmproxy interception, and auto-generated HackerOne-style bug bounty reports with PCI-DSS/SOC2/ISO 27001 compliance mapping, SARIF/JUnit export, scan diffing, and retest workflows.

OpenAIClaudeGemini+3
PCI DSSSOC 2ISO 27001:2022+3

Offensive Security, AI Security· Added 3 Sep 2026, published 22 Aug 2026

github.comrepo🛡️ Security

Teycir/BurpAPISecuritySuite

BurpAPISecuritySuite is a Jython-based Burp Suite extension that consolidates API reconnaissance, intelligent fuzzing (108+ payloads across 15 attack types including BOLA, IDOR, JWT exploitation, GraphQL abuse, SSTI, and WAF bypass), and passive deep-logic checks (counterfactual differentials, sequence invariants, token lineage, cross-interface parity drift) into a single tool covering the OWASP API Top 10. It auto-captures and normalizes API traffic, exports attack campaigns to Burp Intruder/Turbo Intruder/Nuclei, and generates AI-ready bundles (ChatGPT/Claude/Ollama) for LLM-assisted triage, while orchestrating external tools like ApiHunter, Katana, httpx, FFUF, Kiterunner, sqlmap, and Dalfox for verification.

Burp SuiteNucleiGraphQL+3
IDORBOLA

AppSec, Offensive Security· Published and added 21 Aug 2026

github.comrepo🛡️ Security

Dark-Moon

DarkMoon is a self-hosted, GPLv3 AI penetration testing platform that orchestrates 50 specialist agents over an MCP-gated toolbox (Nuclei, BloodHound, sqlmap, Impacket, Naabu, httpx, ffuf, etc.) to autonomously run recon-to-exploitation across web, API, Active Directory, Kubernetes, multi-cloud, CI/CD, databases, IoT firmware, and AI/LLM inference endpoints. It uses a Privacy Gateway that tokenizes real IPs/hosts/credentials into placeholders so raw infrastructure data never reaches the (optionally local, e.g. Ollama/llama.cpp) LLM, and can generate sandbox-validated, exploit-retested pull requests for findings. It also ships a dedicated LLM agent that probes OpenAI-compatible/Ollama/vLLM/TGI inference endpoints for the OWASP LLM Top 10 (prompt injection, jailbreaks, system-prompt leakage) using garak-backed probes.

Model Context ProtocolMITRE ATT&CKNuclei+3
ISO 27001NIST SP 800-115OWASP Top 10 for LLM Applications

Offensive Security, AI Security· Published and added 5 Aug 2026

github.comrepo🧠 AI

autonomous-ai/openharness

OpenHarness (Autonomous) is an open-source command center for running coding agents such as Claude Code, Codex, Cursor, OpenCode, Devin, Amp and Copilot. A native app and per-machine daemon run each agent in its own tmux pane, with a git worktree per harness. Machines are linked by password, with end-to-end encrypted traffic over direct WebRTC, Cloudflare TURN or a keyless relay. It also supports local models (Ollama, MLX-LM, vLLM, Grid) and a Store of domain-specific harnesses (Blender, CircuitJS, MuJoCo, Godogen, Strudel, RDKit, Typst) defined by a harness.json. An optional open-hardware always-on display device shows agent status.

Claude CodeCodexCursor+17
Autonomous

coding-agents, agents· Added 16 Oct 2026, published 4 Aug 2026

github.comrepo🛡️ Security

AgentHound

AgentHound is an open-source offensive security framework that, from a single compromised host, collects local credentials and agent configuration, discovers and fingerprints reachable AI services (MCP servers, A2A agents, model gateways, inference servers like Ollama, vector stores, MLOps platforms, notebooks), reuses harvested credentials to verify concrete access, and writes everything to a checkpointed JSON artifact. An optional analysis server (Neo4j/PostgreSQL-backed) turns the artifact into a queryable attack graph with credential-chain, cross-protocol pivot, exfiltration/execution paths, and prompt-injection-related findings (POISONED_INSTRUCTIONS, POISONED_DESCRIPTION, SHADOWS). It supports an active mode (credential reuse, differential reads, reversible mutation with auto-rollback) and a read-only --stealth mode for OPSEC-constrained engagements.

Model Context ProtocolOllamaNeo4j+2

AI Security, Offensive Security· Published and added 1 Aug 2026

github.comrepo🛡️ Security

Beetle

Beetle is an offline-first mobile application security platform that statically analyzes Android APKs and iOS IPAs (including Flutter and React Native apps), combining decompilation, taint analysis, secret/endpoint extraction, certificate and native-binary hardening checks, and CVE enrichment with explainable 'intelligence engines' (ownership, confidence, evidence selection, finding fusion) that correlate findings into evidence-backed attack chains. It maps results to OWASP MASVS/Mobile Top 10, provides source-level navigation, and exports SARIF, CycloneDX SBOM, and PDF reports, with optional (non-scanning) AI assistance via Claude, OpenAI, Gemini, DeepSeek, or local Ollama for explaining findings.

AndroidiOSDocker+3

Mobile Security, AppSec· Published and added 31 Jul 2026

github.comrepo🛡️ Security

PentesterFlow/agent

PentesterFlow is an open-source terminal AI agent for authorized offensive-security engagements, connecting to local or hosted LLMs (Ollama, LM Studio, Anthropic, Gemini, DeepSeek, Groq, OpenRouter, etc.) to plan and execute recon, enumeration, vulnerability validation, and evidence-backed reporting against a scoped target. It gates sensitive actions behind analyst approval, bridges with Burp Suite for traffic capture/finding import via a local listener and companion MCP server, and maintains persistent project/personal memory (redacting secrets) to carry lessons and coverage state across sessions. The demo walks through discovering and confirming an IDOR on an orders API and writing findings to a local markdown report.

Burp SuiteOllamaModel Context Protocol+3
IDOR

Offensive Security, AI Security· Published and added 29 Jul 2026

github.comrepo🛡️ Security

weirdmachine64/GhidraGPT

GhidraGPT is a Ghidra extension that sends a selected function's decompiled C to an LLM provider (OpenAI, Gemini, Ollama, etc.) and streams results back into a console, offering three actions: Explain (natural-language summary), Rewrite (recovers names/types and writes them back into the Ghidra database), and Audit (best-effort single-function review for issues like unbounded copies and integer overflows). Analysis is scoped to one function's decompiler output with no cross-function dataflow, so audit findings are leads to verify rather than sound static-analysis proof; API keys are stored locally with only XOR obfuscation, not real encryption.

GhidraLLMMaven+1

Malware & RE, AI Security· Published and added 20 Jul 2026

github.comrepo🧠 AI

ailinone/collective-intelligence

Collective Intelligence is an open-source (AGPL-3.0) OpenAI-API-compatible gateway that routes a single request across a continuously-discovered pool of AI models (claimed ~90 provider integrations, 103,224 indexed models) using one of 32 coordination strategies - consensus with convergence floors, blind debate, expert panels, devil's-advocate consensus, cost-cascade, best-of-N with objective verification - instead of sending it to one model. Every response carries an ailin_metadata provenance record (strategy used, models used, cost, dissent), and the repo ships a reproducible benchmark harness with raw per-execution CSVs claiming the coordinated pool beats GPT-5.5-pro, Claude Opus 4.8, Gemini 3.1 Pro and Grok 4.3 on verifiable tasks (97% vs 68-82%). It installs via Docker Compose, exposes an OpenAI SDK-compatible base_url swap, and supports a no-API-key Ollama degraded self-hosted mode.

DockerOpenAI APIOllama+3
GPT-5.5-proClaude Opus 4.8Gemini 3.1 Pro+3

ai-infra· Added 2 Oct 2026, published 20 Jul 2026

github.comrepo🛡️ Security

Argo

Argo is an LLM-native static application security testing tool that drives Claude Code, Codex, Gemini, or local models (via Ollama/LM Studio) as an AI analyst to audit source code, extract security invariants, and produce reviewable vulnerability reports with optional patch generation and ASan-verified proof-of-concept crashes. It positions itself as a complement to rule-based SAST tools like CodeQL and Semgrep, targeting logic/authorization bugs that fixed patterns miss, and has been used to find real, disclosed vulnerabilities across 15 audited open-source projects (53 PRs, 2 CVEs). It supports two modes — general code audit and bug-bounty triage with scope-enforced, read-only, opt-in live verification guardrails.

Claude CodeCodexGemini+3

AppSec, AI Security· Added 3 Sep 2026, published 18 Jul 2026

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