43 results for “Anthropic”

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.

github.comrepoAdded 30 Oct 2026🧠 AI

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.

github.comrepoAdded 23 Oct 2026, published 21 Oct 2026🧠 AI

PentAGI is an open-source, self-hosted multi-agent system that uses LLM agents to carry out penetration testing tasks autonomously. The MIT-licensed repo has a Go backend, a React frontend and GraphQL. It ships Docker Compose files for Langfuse tracing, Graphiti knowledge-graph memory and an observability stack. Topics list OpenAI and Anthropic as model backends.

github.comrepoAdded 20 Oct 2026🧠 AI

Antirion is an open-source AI gateway shipped as one Rust binary with a built-in admin console. It sits between apps and providers such as OpenAI, Anthropic, Bedrock, Vertex and vLLM, translating between OpenAI, Anthropic, Gemini and Bedrock dialects. It covers routing with fallbacks and circuit breakers, budgets, guardrails, caching, MCP and A2A gateways, SSO, and a benchmark against Bifrost 2.2.4 and LiteLLM 1.103.1.

github.comrepoAdded 21 Oct 2026, published 17 Oct 2026🧠 AI

PS5LM is a homebrew app for jailbroken PS5s (firmware 7.00–13.60). It runs llama.cpp with the ggml-vulkan backend on the console's RDNA 2 GPU, using 11.4 GB of shared memory, and loads any GGUF model. It serves OpenAI /v1/chat/completions, Anthropic /v1/messages (usable from Claude Code, Codex and opencode) and a browser chat page on port 8081. It also supports image-projector vision models and TypeSafe-style decision models through a /v1/systemone endpoint. A planner picks the longest context and best cache that fit the free memory, and the app downloads models from Hugging Face.

github.comrepoAdded 17 Oct 2026, published 16 Oct 2026🧠 AI

The Vulnerable MCP Project is a curated, continuously growing database of security vulnerabilities and attack techniques specific to the Model Context Protocol ecosystem. Entries cover concrete CVEs (e.g. CVE-2025-68143/68144/68145 in Anthropic's mcp-server-git), transport-layer SDK flaws (cross-client response leakage, missing DNS rebinding protection in the official TypeScript/Python SDKs), unauthenticated/0.0.0.0-bound servers enabling RCE (MCPJam inspector, MCP Inspector, Grafana MCP), command/path injection in dozens of third-party servers (gemini-mcp-tool, mcp-server-kubernetes, Framelink Figma MCP, Zen MCP, filesystem-mcp), SSRF chains reaching cloud metadata (MarkItDown MCP, mcp-fetch-server), and a large set of AI-specific attacks: tool poisoning, trigger-phrase data exfiltration, prompt injection via GitHub issues, Jira and Google Docs, rug-pull tool mutation, and cross-server tool-name collisions. It functions as the de facto vulnerability registry for the MCP ecosystem, useful for tracking disclosed issues before patching or adopting third-party MCP servers.

vulnerablemcp.inforepoAdded 6 Oct 2026🛡️ Security

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.

github.comrepoAdded 6 Oct 2026🧠 AI

Claude-Mem is an open-source persistent memory plugin for Claude Code and other coding agents (Codex, OpenCode, Grok Bot, T3 Code, OpenClaw) that captures tool-usage observations during sessions, compresses them into semantic summaries, and reinjects relevant context into future sessions. It uses five lifecycle hooks (SessionStart, UserPromptSubmit, PostToolUse, Stop, SessionEnd), a local SQLite database, a Chroma vector store for hybrid semantic+keyword search, and exposes three MCP tools (search, timeline, get_observations) that follow a token-efficient layered retrieval pattern to cut context costs roughly 10x. It is Apache-2.0 licensed, built with the Claude Agent SDK and TypeScript, and ships an optional hosted "observer" memory service alongside self-hosted options via OpenRouter/Gemini keys or an Anthropic plan.

github.comrepoAdded 5 Oct 2026🧠 AI

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.

github.comrepoAdded 2 Oct 2026🧠 AI

Hindsight is an open-source agent memory system (MIT-licensed, self-hostable via Docker/Helm or usable as Hindsight Cloud) that goes beyond RAG-style recall by having agents learn through consolidated observations and mental models built from retained facts and experiences. It exposes retain/recall/reflect operations, a built-in MCP server per memory bank, Python/Node/Go/CLI clients, an LLM-wrapper for drop-in memory on OpenAI/Anthropic calls, and reports state-of-the-art results on the LongMemEval long-term memory benchmark, independently reproduced by Virginia Tech's Sanghani Center and The Washington Post.

github.comrepoAdded 26 Sep 2026🧠 AI

respan-gateway is an open-source Rust LLM gateway shipped as a single binary with a built-in web UI. It lets OpenAI Chat Completions, Responses, Anthropic Messages and Gemini generateContent clients call any model, translating tools, images and reasoning. It adds named routes, fallback, retries, hedged races, MCP server fronting, per-call pricing, request logs and plugins.

github.comrepoAdded 22 Oct 2026, published 25 Sep 2026🧠 AI

Claude Code Templates (aitmpl.com) is an open-source npx CLI and template catalog offering 100+ ready-to-use agents, slash commands, hooks, settings, skills and MCP server integrations for Anthropic's Claude Code, aggregating contributions from Anthropic's official skills repo, K-Dense-AI's scientific skills, and various community projects (superpowers, wshobson/agents, awesome-claude-code, etc.). Beyond the template catalog it ships real-time analytics for monitoring Claude Code sessions, a mobile chat viewer with Cloudflare Tunnel support, a health-check diagnostic, and a plugin/marketplace manager, making it a practical operational toolkit for customizing and running Claude Code.

github.comrepoAdded 2 Oct 2026, published 25 Sep 2026🧠 AI

magpie is a cross-platform menu bar app, TUI and CLI that lets you view and switch the model each installed AI coding agent (Claude Code, Codex, Gemini CLI, OpenCode, Cursor, Copilot CLI, Goose, Pi, etc.) is configured to use, editing each agent's config file surgically without disturbing comments or formatting. It runs a local gateway (127.0.0.1:3425) that translates between OpenAI Chat Completions, OpenAI Responses and Anthropic Messages APIs so every agent can point at one endpoint and use any provider's models, including routing groups that spread requests across multiple keys/subscriptions with configurable routing strategies (smart, order, rotate, usage). It can also reuse existing subscriptions (Claude Code, Codex/ChatGPT, Copilot, Devin, Gemini CLI) as providers for other agents without exposing or copying credentials, and supports encrypted profile backup/restore.

github.comrepoAdded 26 Sep 2026, published 23 Sep 2026🧠 AI

jev-gateway is a local proxy that sits between coding agents (Codex, Claude Code, OpenCode, Kilo, Gemini CLI, Devin) and their LLM backend, intercepting only the tool-selection decision and routing it to TypeSafe's small, fast "Jev" model instead of the main reasoning model, while forwarding everything else untouched. It supports forced tool_choice, hint-based suggestions (for APIs like Anthropic's that can't force a tool mid-turn), a live dashboard for cost/latency/routing metrics, and a companion benchmark repo (jev-gateway-bench) showing routing helps most on debugging tasks but can hurt some models on feature-building tasks.

github.comrepoAdded 26 Sep 2026, published 18 Sep 2026🧠 AI

Maskit is a local privacy gateway that sits between AI coding tools (Cursor, Claude Code, Codex, ChatGPT, Claude, DeepSeek) and the model provider, automatically redacting sensitive data — API keys, database connection strings, private IPs, PEM keys, JWTs, PII like phone numbers/ID numbers — into placeholders before requests leave the machine, then streams responses back with the placeholders transparently restored. It works as a local reverse proxy (per-protocol ports for OpenAI/Anthropic/DeepSeek) plus a browser extension (Chrome/Edge MV3) that intercepts Fetch/XHR traffic on ChatGPT, Claude and DeepSeek web UIs, including redaction of uploaded Office documents. It also includes a lightweight local ONNX NER model for names/orgs/addresses, placeholder consistency across multi-turn conversations, and passive prompt-injection detection on model replies.

github.comrepoAdded 22 Sep 2026, published 15 Sep 2026🛡️ Security

Cosy (CosyRedactGateway) is a Node.js gateway that sits between programmers' LLM clients and OpenAI or Anthropic APIs. It replaces credentials found in JSON request text with reversible SHA-256-based placeholders, using high-entropy scoring, structured detectors and Gitleaks-compatible rules, and restores them in responses, SSE streams and tool arguments. It runs on Cloudflare Workers, Deno or locally, and documents its limits: auth headers are still forwarded, and misses are possible.

github.comrepoAdded 19 Oct 2026, published 11 Sep 2026🛡️ Security

Cosy (CosyRedactGateway) is a local-first LLM credential redaction gateway. It replaces secrets in request JSON with reversible SHA-256 placeholders before forwarding to OpenAI or Anthropic upstreams, then restores them in responses, SSE streams and tool-call arguments. Detectors cover high-entropy strings, structured patterns and Gitleaks-compatible rules. It runs on Node.js, Cloudflare Workers or Deno, with an offline demo script and a documented list of limits.

github.comrepoAdded 19 Oct 2026, published 11 Sep 2026🧠 AI

Pooled runs one open model (Qwen 3.6 35B MoE, a 27B dense hybrid, smaller Qwen3/SmolLM) across devices in a browser "room". Each tab holds a slice of layers and runs them on its own GPU with custom WGSL kernels. Hidden states pass over WebRTC, and speculative decoding is checked against plain decoding by golden tests. It also ships a Code-mode agent loop with a sandboxed preview, and an npx CLI bridge (@pooled/cli) that exposes the room as an OpenAI Chat Completions/Responses and Anthropic Messages endpoint with grammar-constrained tool calling, so Codex CLI, Claude Code and opencode can use it. The README includes latency-injected benchmarks, a comparison with exo, Petals, llama.cpp RPC and WebLLM, and a threat model.

github.comrepoAdded 16 Oct 2026, published 1 Sep 2026🧠 AI

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.

github.comrepoAdded 23 Oct 2026, published 31 Aug 2026🧠 AI

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.

github.comrepoPublished and added 31 Aug 2026🛡️ Security

Reef is an open-source infrastructure stack for continual self-improving agents, wiring together agent inference, scored feedback, training/updates, and versioned delivery into one loop. It supports two learning surfaces: fine-tuning model weights via RL training steps (using Slime and SGLang on top of models like Qwen2.5-1.5B-Instruct) or evolving an agent's harness — prompts, rules, and skills — through its built-in "Reefine" recipe, which lets a model propose and install harness changes from plain-language requests. It exposes an OpenAI/Anthropic-compatible inference endpoint plus a reporting endpoint for scoring interactions, and ships a recipe catalog (e.g. the SAO recipe referencing arXiv:2607.07508) for pluggable learning strategies.

github.comrepoAdded 2 Oct 2026, published 31 Aug 2026🧠 AI

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.

github.comrepoPublished and added 27 Aug 2026🛡️ Security

pentest-harness is an open-source, plugin-based AI agent framework aimed at authorized penetration tests, bug bounty research, security labs, and CTFs. It provides a "Pentest Mode" offensive-security operating standard, a full agent toolset (shell, filesystem, web research, subagents, background jobs), and a bring-your-own-key multi-provider LLM engine (OpenAI, Anthropic, DeepSeek, Google, Mistral, Groq, OpenRouter, Azure OpenAI) with durable JSONL/SQLite session persistence and an owner-only credential store for API keys.

github.comrepoPublished and added 27 Aug 2026🛡️ Security

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.

github.comrepoPublished and added 23 Aug 2026🛡️ Security

aurscan is a Go-based CLI that hooks into yay/paru to scan a downloaded AUR package's PKGBUILD, .install scriptlets, .SRCINFO and helper scripts before makepkg runs, blocking the build if it looks malicious. It combines offline, quote-aware static rules covering known AUR campaign signatures such as disguised source patch URLs, install-scriptlet worms, masqueraded binary file types, and editor auto-exec triggers with an LLM auditor (Claude Code, Codex, Anthropic API, or a local OpenAI-compatible model) that answers a fixed checklist of yes/no behavioral questions, from which aurscan deterministically derives a verdict, severity and confidence, and fails closed when no backend is available. It documents and defends against real incidents including the July 2025 firefox-patch-bin CHAOS RAT vector, the June 2026 Atomic Arch mass orphan-package takeover pulling a Rust stealer and eBPF rootkit, and the August 2026 xsnow dot-install worm that harvested SSH keys and self-propagated across AUR.

github.comrepoPublished and added 8 Aug 2026🛡️ Security

agent-vision-toolkit is a set of CLI tools (glance, ground, detect, trace, crop) plus an agent skill that give text-only LLM coding agents such as DeepSeek vision abilities: intent-aware image Q and A, bounding-box grounding, element detection, SVG tracing of icons, long-screenshot OCR, UI restoration, and GUI automation. It also ships an optional transparent local proxy and single-file native plugins for Codex, Claude Code, Pi, Oh My Pi, and OpenCode so pasted images and built-in image tools are transparently routed to a configurable multimodal API such as OpenAI Chat Completions or Anthropic Messages, without extra prompting.

github.comrepoAdded 2 Oct 2026, published 1 Aug 2026🧠 AI

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.

github.comrepoPublished and added 29 Jul 2026🛡️ Security

VVAH is Visa's open-source agentic harness that runs an eleven-stage (S0–S11) LLM pipeline to discover, verify, report, and optionally remediate/validate application vulnerabilities, built on learnings from Anthropic's Project Glasswing. It combines threat-modeled discovery, multi-lens adversarial analysis, interprocedural taint analysis, and a beta live-HTTP "exploit verification" stage (S6) that proves exploitability and supports regression-testing fixes via ev-replay, outputting Markdown and SARIF 2.1.0 findings with CVSS/CWE data.

github.comrepoPublished and added 29 Jul 2026🛡️ Security

Yolorouter is a free, self-hosted, single-binary LLM gateway that translates between the four major chat wire protocols — OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, and Gemini generateContent — so a client built for one provider (e.g. Claude Code) can be pointed at any other. It adds multi-provider failover, round-robin upstream API key pooling with rate-limit/quota handling, per-key budgets and access control, a multi-user admin console with OAuth2/OIDC SSO, and native image/video generation support for OpenAI-shaped and non-OpenAI-shaped providers (DashScope, Volcengine Ark, Kling, MiniMax). It also ships cost-optimization features — deterministic system-prompt injection and tool-output compression for coding agents — backed by a published benchmark, plus built-in usage/cost observability.

github.comrepoAdded 2 Oct 2026, published 21 Jul 2026🧠 AI

A community-maintained GitHub guide (requie/AI-Red-Teaming-Guide) that consolidates AI red-teaming methodology, mapping techniques like prompt injection, jailbreaking (Skeleton Key, Crescendo), model extraction, data/fine-tuning poisoning, and MCP tool-poisoning/rug-pull attacks to frameworks including NIST AI RMF, OWASP Top 10 for LLM Applications and Agentic Applications, MITRE ATLAS, and CSA's Agentic AI Red Teaming Guide. It cites real incidents (OpenClaw's CVE-2026-25253, GitHub Copilot's CVE-2025-53773, the Anthropic-disrupted Claude Code state-sponsored campaign, the Morris II AI worm) and surveys red-team tooling (PyRIT, NVIDIA's Garak, DeepTeam) plus emerging agent-orchestrated red-teaming approaches.

github.comrepoPublished and added 8 Jul 2026🛡️ Security

api-relay-audit is a zero-dependency, locally-run Python security audit tool for AI API relays and LLM proxies that sit between a user and providers like Anthropic or OpenAI. It runs a 14-step check covering hidden prompt injection/extraction, context truncation, model-identity substitution, tool-call/package-command tampering, and SSE stream integrity, producing a reviewable Markdown report with LOW/MEDIUM/HIGH findings (inconclusive results stay visible rather than being marked clean). It also adds a web3 profile for wallet-safety probes (transfer guidance, signed-transaction refusal, private-key refusal) and is distributed as a standalone script, a DeepSeek Harness (DSH) plugin, and OpenClaw/Hermes agent skills.

github.comrepoPublished and added 4 Jul 2026🛡️ Security

ThinkWatch is a source-available dual-port gateway (Rust/Axum) that proxies both AI provider APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, AWS Bedrock) and MCP tool calls through a single control plane, enforcing authentication, RBAC, rate limits/budgets, and audit logging. Its key differentiator is per-user upstream identity for MCP — propagating each user's own OAuth token/PAT to servers like GitHub/Notion/Slack (AES-256-GCM encrypted, per-key allowlists) instead of a shared service account, plus SSRF-hardened OAuth discovery (RFC 9728/8414/7591), tool-level RBAC, and ClickHouse-backed audit trails forwarded to SIEMs via Syslog/Kafka/webhooks.

github.comrepoPublished and added 4 Jul 2026🛡️ Security

A reference implementation from Anthropic showing how to build a Claude-powered vulnerability discovery and remediation pipeline: interactive skills (/threat-model, /vuln-scan, /triage, /patch, /customize) for static scoping, scanning, triage and patch generation, plus an autonomous seven-stage recon-find-verify-dedupe-report-patch harness that builds targets with Docker/ASAN and runs each agent in a gVisor sandbox with restricted egress. It also ships a detection-and-response track (/dnr-hunt, /dnr-respond) for hunting an attacker already present in logs, scoping blast radius, and proposing a response, demoed against a planted attack campaign in synthetic logs.

github.comrepoAdded 3 Sep 2026, published 5 Jun 2026🛡️ Security

Metis is an open-source agentic AI security code review framework built by Arm's Product Security Team that uses LLMs for semantic vulnerability detection rather than hardcoded rules. It performs deep security review across codebases (with C/C++ reachability analysis via a code graph), validates and triages findings from itself or third-party SAST tools to reduce false positives, and annotates SARIF output. It supports multiple LLM providers (OpenAI, Azure OpenAI, Anthropic, Gemini, AWS Bedrock, vLLM, Ollama, llama.cpp, LiteLLM) and vector-store backends (ChromaDB, PostgreSQL/pgvector, Qdrant) for RAG-based codebase indexing and querying.

github.comrepoPublished and added 31 May 2026🛡️ Security

A community-maintained GitHub repo providing 818 structured, YAML-frontmatter skill files (e.g. Volatility3 memory forensics, Kerberoasting hunting, cloud breach scoping) that AI coding agents like Claude Code, GitHub Copilot, or Cursor can load to follow senior-analyst-level security workflows. Each skill is mapped against MITRE ATT&CK v19.1, MITRE ATLAS, MITRE D3FEND, NIST CSF 2.0, NIST AI RMF, and the newly released MITRE Fight Fraud Framework (F3), and follows the agentskills.io progressive-disclosure standard for token-efficient agent discovery. Covers offensive (red-team C2, phishing simulation, exploitation), defensive (DFIR, threat hunting, Sigma detections), cloud, and AI-security domains.

github.comrepoPublished and added 26 May 2026🛡️ Security

PentAGI is an open-source, self-hosted autonomous AI agent system built in Go with a React/GraphQL frontend that orchestrates multiple LLM-driven agents to perform complex penetration testing tasks end-to-end. It integrates with LLM providers like OpenAI and Anthropic and packages common offensive security tooling so an agent can plan, execute, and iterate on pentest workflows with minimal human intervention.

github.comrepoAdded 3 Sep 2026, published 23 May 2026🛡️ Security

Shannon is an open-source autonomous AI pentester from Keygraph that analyzes application source code to map trust boundaries and attack paths, then uses browser automation and CLI tools to execute real proof-of-concept exploits against the running app before reporting a finding. It only reports vulnerabilities it can actually exploit (injection, XSS, SSRF, broken auth/authz), runs in an ephemeral Docker worker with any AI provider (Anthropic, OpenAI, xAI, AWS Bedrock, Ollama, vLLM, LM Studio, etc.), and ships GitHub Action/GitLab CI integrations that produce PDF/Markdown/JSON/SARIF reports and can gate releases on exploited-severity findings. It's licensed AGPLv3 and positioned to run continuous, code-informed pentests between annual human pentest engagements.

github.comrepoPublished and added 23 May 2026🛡️ Security

Open ASM (OASM) is an open-source, self-hostable Attack Surface Management platform that continuously discovers internet-facing assets (IPs, ports, services, technologies), runs distributed vulnerability/misconfiguration scans via pluggable connector containers wrapping tools like nuclei, subfinder, httpx, naabu, and dnsx, and exposes an MCP server so AI assistants (OpenAI, Anthropic, Google models) can query and analyze the collected asset inventory in natural language. Scanning capability is decoupled into a companion oasm-connectors repo whose manifest lets Core API resolve and dispatch versioned Docker connector images to auto-scaling workers without requiring a platform release.

github.comrepoAdded 3 Sep 2026, published 17 May 2026🛡️ Security

DockSec is an OWASP Lab Project CLI that wraps Trivy, Hadolint, and Docker Scout to scan Dockerfiles, images, and Compose files, then uses an AI provider (OpenAI, Anthropic, Google, or local Ollama) to correlate findings, cut noise, and generate plain-English remediation suggestions. It supports CI/CD gating via exit codes, baselines, and auditable waiver files, outputs SARIF/CycloneDX SBOM/HTML/PDF/JSON/CSV/Markdown reports, and redacts secrets before any content reaches an LLM, with a fully offline/local-only mode for air-gapped teams.

github.comrepoPublished and added 14 May 2026🛡️ Security

deepsec is an open-source, agent-powered vulnerability scanner from Vercel Labs designed for on-demand AI review of large existing codebases, using maximum-thinking-level LLMs (routed via Vercel AI Gateway or a bring-your-own OpenAI/Anthropic key) to surface long-lurking, hard-to-find bugs. It fans work across worker machines or Vercel Sandbox microVMs for parallel scanning, supports resumable/interruptible runs with cost and time caps, and exports findings as reports; its docs explicitly discuss the prompt-injection risk of running an agent with shell access over untrusted vendored code.

github.comrepoAdded 3 Sep 2026, published 13 May 2026🛡️ Security

An "Awesome" GitHub list curating research papers, tools, and Claude/Codex "agent skills" focused on LLM-driven vulnerability detection, covering benchmarks (CVE-Bench, VulnGym, SecVulEval), autonomous pentesting/auditing projects (strix, Darkmoon, DeepAudit, AutoCVE, OpenAnt), and vendor-published security-audit skills (Anthropic's defending-code-reference-harness, Cloudflare's security-audit-skill, OpenAI's codex-security). It spans academic work on code-property-graph-guided detection, smart-contract auditing, reinforcement-learning-based reasoning for vuln analysis, and multi-agent false-positive triage.

github.comrepoPublished and added 13 May 2026🛡️ Security

OpenAnt is Knostic's open-source Apache 2 licensed LLM-based vulnerability discovery tool that runs source code through a two-stage pipeline, an agentic detection phase followed by an attack and verification phase, to filter out false positives and surface exploit-verified findings. It is a Go CLI with a Python analysis backend supporting Go, Python, and several beta languages including JavaScript, C, PHP, Ruby, Zig, Swift, and Rust, with pluggable LLM providers such as Anthropic, OpenAI, Google, Ollama, OpenRouter, and Bedrock, plus diff and PR scoped scanning for CI and a local web UI.

github.comrepoPublished and added 12 May 2026🛡️ Security

claude-code-security-review is an official Anthropic GitHub Action that uses Claude Code to perform diff-aware, semantic security analysis of pull requests, flagging issues like injection, broken auth, hardcoded secrets, insecure crypto, and RCE via deserialization, then posting findings as PR review comments. It includes false-positive filtering tuned to exclude low-impact findings such as DoS, rate limiting, and open redirects, and ships a matching security-review slash command for local use inside Claude Code; the authors explicitly warn it is not hardened against prompt injection and should only run on trusted, reviewed PRs.

github.comrepoPublished and added 10 May 2026🛡️ Security