Celestial Mantis
Week of 19 — 25 June 2026
Every week, I manually curate tools, research, and services that are genuinely useful for OSINT, digital investigations, security research, and adjacent fields.
No hype. No SEO noise. No "AI startups that change everything".
Only things you can open, verify, and actually use.
Find 14x More Threats and Intelligence with AI-Native OSINT
📌 Your project could be included in this timeline as a key project. For collaboration inquiries, please contact me: @OSINTech
Learning about AI often means jumping between guides, tools, privacy notes, API docs, and prompt examples. This curated dashboard brings those resources together in one place, so professionals, educators, and small teams can explore ChatGPT and AI tools with more structure:
🔗 https://start.me/p/GEYb4M/a-i-chatgpt
OSINT of Panama by Unishka Research Service:
🔗 https://substack.com/home/post/p-200445545
Claude Obsidian Assistant. The repository is simple, give Claude and yourself a structured place to write, and tell it what you want. The vault comes with a Johnny Decimal folder system, a /obsidian skill for syncing projects, and some themes to make it more fun. There's also a CLAUDE.md at the root that gives Claude context on how the vault works. It's a template meant to be adjusted after setup, but it helps initialize Claude with some understanding of the structure faster. You can go in without it and probably be fine. Everything else is just you explaining your preferences to Claude and letting it build from there:
🔗 https://github.com/nemocake/claude-obsidian-assistant
DeepFace. A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python:
🔗 https://github.com/serengil/deepface
X/Twitter OSINT API. An API designed to gather open source intelligence from public X profiles without accessing the official API:
🔗 https://github.com/noahclark556/X-Twitter-OSINT-API
EmailCrawl is a professional-grade OSINT (Open Source Intelligence) tool designed for advanced email address extraction through comprehensive web crawling. Built for cybersecurity professionals, penetration testers, and intelligence analysts:
🔗 https://github.com/techenthusiast167/EMAIL-CRAWL
OpenStock is an open-source alternative to expensive market platforms. Track real-time prices, set personalized alerts, and explore detailed company insights - built openly, for everyone, forever free:
🔗 https://github.com/Open-Dev-Society/OpenStock
Security Suite. Open-source security suite for OSINT, web scanning, API testing, SIEM integration, and AI-powered analysis:
🔗 https://github.com/TheSecuredAnalyst/security-suite
Hayabusa (隼) is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs:
🔗 https://github.com/Yamato-Security/hayabusa
DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating large-language model systems. It is similar to Pytest but specialized for unit testing LLM apps. DeepEval incorporates the latest research to run evals via metrics such as G-Eval, task completion, answer relevancy, hallucination, etc., which uses LLM-as-a-judge and other NLP models that run locally on your machine:
🔗 https://github.com/confident-ai/deepeval
Context Sync. Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc:
🔗 https://github.com/Intina47/context-sync
Dream Server. Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation:
🔗 https://github.com/Light-Heart-Labs/DreamServer
HyperExtract. Smart Knowledge Extraction CLI. Transform documents into structured knowledge with one command:
🔗 https://github.com/yifanfeng97/Hyper-Extract
DeepPaperNote is an agent skill for deep-reading a single paper and generating high-quality Obsidian-style research notes. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more:
🔗 https://github.com/917Dhj/DeepPaperNote
Open Agent Builder. Visual workflow builder for AI agents powered by Firecrawl - drag-and-drop web scraping pipelines with real-time execution:
🔗 https://github.com/firecrawl/open-agent-builder
Hermes WebUI. The best way to use Hermes Agent from the web or from your phone:
🔗 https://github.com/nesquena/hermes-webui
ADE Document Processing Skills. Agent skills for LandingAI's Agentic Document Extraction (ADE) - production-ready document AI for agentic coding assistants:
🔗 https://github.com/landing-ai/ade-document-processing-skills
Memanto. A companion memory agent with its own intelligence that keeps your agents focused on their tasks. Persistent memory for Claude Code, Cursor, Codex, and 14+ other agents, built on the world's first information-theoretic search engine. 100% free, open source, and runs entirely on your machine - no API keys, no vector database, no backend to babysit:
🔗 https://github.com/moorcheh-ai/memanto
Knowere. Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN:
🔗 https://github.com/zilliztech/knowhere
Deer Flow. An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours:
🔗 https://github.com/bytedance/deer-flow
LuxTTS. A high-quality rapid TTS voice cloning model that reaches speeds of 150x realtime:
🔗 https://github.com/ysharma3501/LuxTTS
Repo2RLEnv synthesizes verifiable training and evaluation data from existing repositories, exports it into a uniform spec, and pushes it straight to the Hugging Face Hub. The output spec is Harbor's, so every dataset you produce drops directly into any Harbor-compatible runtime - no glue code:
🔗 https://github.com/mathieuflamant/repo2rlenv
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning:
🔗 https://github.com/Tencent-Hunyuan/UniRL
IAGA Sentinel. The EU AI Act conformity evidence layer for AI agents:
🔗 https://github.com/EdoardoBambini/IAGA-Sentinel
A curated list of awesome GitHub Profile which updates in real time:
🔗 https://github.com/abhisheknaiidu/awesome-github-profile-readme
APK Studio. Open-source, cross platform Qt6 based IDE for reverse-engineering Android application packages. It features a friendly IDE-like layout including code editor with syntax highlighting support for small code files:
🔗 https://github.com/vaibhavpandeyvpz/apkstudio
PDF Inspector. Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions:
🔗 https://github.com/firecrawl/pdf-inspector
LiteParse is a standalone OSS PDF parsing tool focused exclusively on fast and light parsing. It provides high-quality spatial text parsing with bounding boxes, without proprietary LLM features or cloud dependencies. Everything runs locally on your machine:
🔗 https://github.com/run-llama/liteparse
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Wi:
🔗 https://github.com/nicolargo/glances
SiliconScope. Sudoless Apple Silicon system monitor (native SwiftUI GUI) with ANE / Media Engine / memory-bandwidth tracking:
🔗 https://github.com/kennss/SiliconScope
Private Unleashed 2.0 FlipperZero Firmware:
🔗 https://github.com/Azayzel/fully-unlocked-Private-Unleashed-2.0-FlipperZero-Firmware
A practical China OSINT workflow. Baidu search syntax and operator behavior, People and professional-biography dorks, Government, regulatory, and licensing dorks and more
🔗 https://github.com/ArgeliusLabs/chinese_osint_search_dorks
- Substack: https://osintech.substack.com
- LinkedIn: https://www.linkedin.com/in/osintech/details/featured/
If this timeline saves you time, it’s doing its job.
Free to read. Manually curated. Minimal noise.
All tools and techniques documented in the dataset are presented for informational,
educational and information security purposes only.
The dataset does not promote or endorse illegal activities.
Users are responsible for complying with applicable laws and ethical standards.
The dataset is updated on a regular basis.
Future posts will document changes, notable additions and emerging trends observed within the dataset.
This post serves as an introduction and reference point for those updates.