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48 results for “Ollama”

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  1. 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.

    github.comrepoAdded 30 Oct 2026🧠 AI

  2. 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.

    github.comrepoAdded 30 Oct 2026🛡️ Security

  3. 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.

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

  4. 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.

    x.comrepoAdded 21 Oct 2026, published 19 Oct 2026🧠 AI

  5. 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.

    github.comrepoPublished and added 9 Oct 2026🧠 AI

  6. 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.

    github.comrepoAdded 6 Oct 2026🧠 AI

  7. 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.

    github.comrepoAdded 2 Oct 2026🧠 AI

  8. 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.

    github.comrepoAdded 30 Sep 2026🛡️ Security

  9. 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.

    github.comrepoAdded 29 Sep 2026🛡️ Security

  10. 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.

    github.comrepoAdded 26 Sep 2026🛡️ Security

  11. 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.

    github.comrepoAdded 22 Sep 2026🛡️ Security

  12. 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.

    github.comrepoAdded 21 Sep 2026🛡️ Security

  13. 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.

    github.comrepoAdded 21 Sep 2026🛡️ Security

  14. 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.

    github.comrepoAdded 2 Oct 2026, published 17 Sep 2026🧠 AI

  15. 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.

    github.comrepoAdded 22 Sep 2026, published 13 Sep 2026🛡️ Security

  16. 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.

    github.comrepoAdded 2 Oct 2026, published 5 Sep 2026🧠 AI

  17. 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.

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

  18. 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.

    github.comrepoPublished and added 31 Aug 2026🛡️ Security

  19. 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.

    github.comrepoPublished and added 27 Aug 2026🛡️ Security

  20. 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.

    github.comrepoPublished and added 23 Aug 2026🛡️ Security

  21. 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.

    github.comrepoAdded 3 Sep 2026, published 22 Aug 2026🛡️ Security

  22. 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.

    github.comrepoPublished and added 21 Aug 2026🛡️ Security

  23. 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.

    github.comrepoPublished and added 5 Aug 2026🛡️ Security

  24. 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.

    github.comrepoAdded 16 Oct 2026, published 4 Aug 2026🧠 AI

  25. 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.

    github.comrepoPublished and added 1 Aug 2026🛡️ Security

  26. 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.

    github.comrepoPublished and added 31 Jul 2026🛡️ Security

  27. 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.

    github.comrepoPublished and added 29 Jul 2026🛡️ Security

  28. 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.

    github.comrepoPublished and added 20 Jul 2026🛡️ Security

  29. 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.

    github.comrepoAdded 2 Oct 2026, published 20 Jul 2026🧠 AI

  30. 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.

    github.comrepoAdded 3 Sep 2026, published 18 Jul 2026🛡️ Security

  31. CyberSunil/LLMVault

    LLMVault is a self-hosted, deliberately-vulnerable training range modeled on WebGoat but for LLM applications, covering 25 labs across the OWASP Top 10 for LLM Applications (2025) - prompt injection, jailbreaking, data/model poisoning, agent exploitation, model extraction, and insecure downstream output handling. It ships two modes: a scored Play Mode with scripted assistants for repeatable flag capture, and an unscripted Live Mode that points the same attacks at a real local Ollama model (qwen2.5:3b-instruct) with a freshly minted per-session secret, requiring the player to actually talk the model into leaking it. Each lab pairs the attack with a written defense explanation, and an expert tier is shipped AES/Fernet-encrypted and unlocked manually by the maintainer.

    github.comrepoPublished and added 18 Jul 2026🛡️ Security

  32. GoogleCloudPlatform/k8s-aibom

    k8s-aibom is a Kubernetes controller from GoogleCloudPlatform that generates CycloneDX 1.6 ML-BOM documents at runtime for AI workloads — inference services (vLLM, TGI, Triton, Ollama), agent stacks (LangChain, AutoGen, CrewAI), RAG/vector DB infrastructure (Milvus, Qdrant, Weaviate), and training/eval jobs — by watching Kubernetes API objects with no privileged access. Each BOM attribute carries a declared/inferred/unresolved confidence flag and evidence locator, and the project positions its output as auditor-traceable evidence for EU AI Act Article 12/50, NIST AI RMF, and ISO/IEC 42001 compliance, with redaction filters, immutable GCS write-once sinks, and Sigstore-signed release attestations.

    github.comrepoPublished and added 18 Jul 2026🛡️ Security

  33. AI-Powered Threat Modeling

    AITM is an open-source Python CLI (MIT licensed) that automates STRIDE threat modeling of system architectures using LLMs via Bedrock, OpenAI, or local Ollama. Given a text description or architecture diagram image, it identifies assets and data flows, generates STRIDE-categorized threats with CWE mapping (e.g. CWE-89 for SQLi), scores risk on a 5-level matrix, and outputs actionable mitigations in Markdown or JSON. The engine is stateless with a Pydantic data contract, designed to later support a REST API and frontend; an enterprise edition with additional features is offered commercially.

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

  34. elder-plinius/T3MP3ST

    T3MP3ST is an open-source multi-agent offensive-security framework that turns an existing AI coding agent (Claude Code, Codex, Hermes, OpenCode, Oh My Pi, or a local Ollama/LM Studio/vLLM model) into an autonomous recon-to-exploit-to-report pipeline, with no separate API key required. It reports 90.1% pass@1 on XBOW's 104-challenge benchmark suite and claims 8/10 held-out post-cutoff CVEs identified down to file/line/CWE, with all headline numbers reproducible via a committed `npm run verify-claims` script. The 8-operator kill-chain design (Recon, Scanner, Exploiter, Infiltrator, Exfiltrator, Ghost, Coordinator, Analyst) maps to MITRE ATT&CK/Cyber Kill Chain phases, though only the Recon stage is described as fully live and the rest as scaffolded/experimental.

    github.comrepoPublished and added 7 Jul 2026🛡️ Security

  35. 0xSteph/pentest-ai

    Pentest-AI (ptai) is an MIT-licensed tool that connects an AI client (Claude Code, Codex, or a local Ollama model) via MCP, CLI, or CI to drive a penetration-testing workflow. It uses "oracles" to reproduce candidate findings against a control case and stores results as replayable, portable proof capsules, distinguishing verified findings from unverified scanner/model output; it supports CI gating with SARIF export and OAST-based blind-vulnerability checks.

    github.comrepoPublished and added 4 Jul 2026🛡️ Security

  36. XORCISM-AI/XORCISM

    XORCISM is a self-hosted, open-source enterprise risk/exposure management platform (Node.js/TypeScript over SQLite/PostgreSQL/MySQL) that unifies asset inventory, vulnerability management, threat intel (STIX/TAXII), GRC (ISO 27001, NIST CSF/800-53, EBIOS Risk Manager, NIS2, DORA), incident management, and offensive/defensive testing into one continuously recomputed per-asset and enterprise risk score. It chains recon/exploitation tool connectors (nmap, nuclei, Metasploit, sqlmap) into attack-path/choke-point graphs weighted by fusion exploitability (EPSS+CVSS+KEV+public exploits), validates detection coverage via a purple-team loop against 3,750+ Sigma rules and MITRE ATT&CK/D3FEND, and quantifies ransomware impact in dollar terms via a FAIR-style model — with local-only Ollama AI assistants for triage, hunting, and reporting.

    github.comrepoPublished and added 1 Jul 2026🛡️ Security

  37. OASIS

    OASIS (Open Automated Security Intelligence Scanner) is an AI-powered SAST tool that runs local LLMs via Ollama or any OpenAI-compatible backend (vLLM, LiteLLM, LM Studio, llama.cpp) to detect vulnerabilities like SQLi and XSS in source code. It uses a two-phase scan (lightweight scan model + deep analysis model) orchestrated by a LangGraph pipeline (discover→scan→expand→deep→verify→report), adds a deterministic finding-validation agent that computes exploitability verdicts with confidence, and exports canonical JSON/SARIF/HTML/PDF reports with a web dashboard, RAG-backed chat assistant, --fail-on CI gating, and suppression/inline-ignore support.

    github.comrepoPublished and added 28 Jun 2026🛡️ Security

  38. RAPTOR

    RAPTOR is an autonomous offensive/defensive security research framework built on top of Claude Code that chains static analysis (Semgrep, Coccinelle, CodeQL), binary analysis (radare2, Frida, Z3-based exploit feasibility), LLM-driven multi-stage vulnerability validation, exploit PoC generation, and patch writing into a single workflow against source code or compiled binaries. It also includes an /sca supply-chain command that enriches dependency findings with OSV, CISA KEV, EPSS, and SSVC data and emits CycloneDX SBOMs, and sandboxes LLM-generated/untrusted code execution using Linux namespaces, Landlock, and seccomp. Authored by Gadi Evron, Daniel Cuthbert, Thomas Dullien (Halvar Flake), Michael Bargury, and John Cartwright, it ships 200+ custom static analysis rules and supports multi-model LLM analysis (Claude, GPT, Gemini, Ollama).

    github.comrepoPublished and added 28 Jun 2026🛡️ Security

  39. Armur-Ai/Pentest-Swarm-AI

    Pentest Swarm AI is an open-source (AGPL-3.0), self-hosted CLI tool that runs dozens of LLM agents concurrently against a target, coordinating through a shared "stigmergic" blackboard rather than a fixed recon→exploit→report pipeline, so findings propagate and wake relevant agents in real time. It supports any provider with tool-calling (Claude, OpenAI-compatible endpoints, Together AI-hosted Llama/Qwen/DeepSeek/GLM, or fully local Ollama/LM Studio), ships bundled vulnerable labs (crAPI, Juice Shop, VAmPI, DVGA) for safe testing, and positions itself against the closed SaaS bug-bounty bot XBOW. It currently automates verified attack playbooks (BOLA/IDOR, mass assignment, NoSQL injection) with evidence-backed reporting, with roadmap items for runtime object-reference mining, self-correcting attacks, and on-demand specialist sub-agents.

    github.comrepoPublished and added 21 Jun 2026🛡️ Security

  40. Metis

    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

  41. OWASP Noir

    OWASP Noir is a static analysis (SAST) tool that reads source code to extract every endpoint an application exposes — paths, methods, parameters, headers, cookies, and their originating files — across 205 supported frameworks, with an LLM fallback (OpenAI/Ollama) for unsupported ones. The endpoint inventory (including shadow APIs and undocumented routes) is exported as JSON/YAML/OpenAPI/SARIF/cURL/Postman/HTML to feed DAST scanners (ZAP, Burp Suite, Caido, Gori), human security reviewers, and AI SAST auditors, with optional --ai-context enrichment (guards, sinks, validators, callees) and GitHub Action/CI integration.

    github.comrepoPublished and added 24 May 2026🛡️ Security

  42. CyberStrikeus/CyberStrike

    CyberStrike is an open-source (AGPL-3.0) terminal-based framework that turns any LLM subscription (Claude, GPT, Gemini, local models via Ollama/LM Studio, etc.) into an autonomous red-team agent, providing 13+ specialized agents, 7,600+ Ed25519-signed security skill files mapped to OWASP WSTG/CWE, a built-in Chromium proxy browser for role/credential discovery, and remote "Bolt" MCP tool servers for orchestrating tools like nmap, sqlmap, and Burp-style traffic interception. It targets pentesters and bug bounty hunters for automated reconnaissance, vulnerability discovery, exploitation, and post-exploitation, explicitly restricted to authorized testing.

    github.comrepoPublished and added 23 May 2026🛡️ Security

  43. KeygraphHQ/shannon

    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

  44. OWASP/DockSec

    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

  45. Sim

    Sim is an open-source (Apache 2.0) workspace for building, deploying and managing AI agents and workflows, offering a visual flow editor, 1,000+ integrations (Slack, Notion, HubSpot, Salesforce), knowledge base ingestion, and support for every major LLM plus local models via Ollama and vLLM. It ships as a cloud service (sim.ai), a desktop app, or a self-hosted Docker/Kubernetes deployment set up via an npx sim-setup wizard, and is built on Next.js, Bun, PostgreSQL/Drizzle, and ReactFlow.

    github.comrepoAdded 22 Sep 2026, published 13 May 2026🧠 AI

  46. knostic/OpenAnt

    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

  47. BishopFox/aimap

    AIMap is a Bishop Fox tool that discovers publicly exposed AI/ML endpoints (MCP servers, Ollama, vLLM/LiteLLM proxies, LangServe chains, Gradio apps, ComfyUI nodes) via 32+ curated Shodan queries, fingerprints them with Nuclei templates and live HTTP probes, and computes a 0-10 risk score based on auth, tool exposure, CORS, TLS, and system-prompt leakage. It also launches protocol-specific attack suites — MCP tool abuse, Ollama model extraction, prompt injection — with real-time streaming results and a Shodan-style query search interface plus a 3D globe visualization of findings.

    github.comrepoPublished and added 6 May 2026🛡️ Security

  48. zeroc00I/DontFeedTheAI

    DontFeedTheAI is a transparent proxy built for pentesters that intercepts requests to LLM APIs (Claude Code, OpenAI SDK, OpenRouter, etc.), using a local Ollama-based detector plus regex to strip and surrogate real IPs, credentials, hostnames, and PII before the request leaves the machine, then restores the originals on the response. It ships a setup wizard for local Docker or VPS+SSH-tunnel deployment, a visual audit page for reviewing ORIGINAL→SURROGATE mappings, and an integration test suite (53 fixtures) to verify zero leaks across the full pipeline. The goal is to let engagements use cloud-quality LLM reasoning without ever sending real client data (org names, credentials, hostnames) to a third-party API.

    github.comrepoPublished and added 5 May 2026🛡️ Security