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OSINTech's Timeline (177) - 27.08.2026

A developer released Birdy-Edwards Wraith 2.0, an open-source, fully local Facebook OSINT and SOCMINT investigation tool that adds batch URL processing, a HOG+CNN hybrid face detection pipeline, AI-generated reel caption analysis, and multilingual PDF report delivery. The weekly OSINTech roundup also highlighted NVIDIA Labs' Object Oriented Agents framework for building AI agents in Python, Pangram's AI-content detector, and Neo4j's agent memory tooling.

read6 min views14 publishedAug 31, 2026
OSINTech's Timeline (177) - 27.08.2026
Image: Osintech (auto-discovered)

Cereal

Week of 21 β€” 27 August 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 β€œAI startups that change everything”.

Only things you can open, verify, and actually use.

🧭 Featured Projects

Get SMS Online has been providing temporary phone numbers for SMS verification since 2016. Our service lets you receive SMS online and verify accounts on more than 700 popular websites and apps, including social media platforms, email providers, messaging apps, online marketplaces, dating services, and much more:

Cyb_Detective’s Substack. Every day about OSINT (Open Source Intelligence) tools and techniques:

  • Your project can be featured here. To collaborate, please send me a private message: @OSINTech

🌍 Regional & Thematic OSINT

OSINT of Papua New Guinea by Unishka Research Service:

Pangram. An AI detector that actually works. Detect AI-generated content with 99.98% accuracy. Trusted by universities, schools, and enterprises worldwide:

Birdy-Edwards 2.0 Launched.

That response pushed me to build harder. Today v2.0 - Birdy-Edwards Wraith - is live.

What changed:

β†’ Flexibility - Terminate in any step and generate report

β†’ Reel caption AI intelligence - entities, narrative types, threat indicators

β†’ Batch investigation - 10 mixed URLs, one run, full pipeline

β†’ Co-commentor coordination matrix - visual proof of who moves together

β†’ HOG + CNN hybrid face detection - more accurate across image sizes

β†’ AI confidence % badge on country detection

β†’ Telegram PDF delivery on investigation completion

β†’ Investigation queue - run 5 back to back

β†’ Hindi, Urdu, Arabic render correctly in PDF reports

-> Date and Time modification if wrong date gathered etc.

Still 100% local. Still zero cloud. Still free and open source .

If you work in Facebook OSINT, SOCMINT, threat intelligence, investigative journalism, or security research this was built for you:

πŸ”— [https://github.com/jeet-ganguly/birdy-edwards](https://github.com/jeet-ganguly/birdy-edwards)

πŸ›  OSINT Tools, Services & Investigations

Tandem Browser. AI-Human symbiotic browser - browse the web as one entity:

πŸ”— https://github.com/hydro13/tandem-browser Doop. The open-source alternative to Paper.design. A multiplayer design canvas where humans and AI agents design together, live. MCP built in:

πŸ”— https://github.com/kgoedecke/doop ScriptCat. A browser extension that can execute userscript:

πŸ”— https://github.com/scriptscat/scriptcat vPhone Workstation. A native macOS app for managing virtual iPhones - browse, create, and boot iOS research VMs from a single window:

πŸ”— https://github.com/zqxwce/vphone-ws VoiceStudio. A unified toolkit for text-style prompted speech synthesis, voice adaptation, and editing:

πŸ”— https://github.com/latentforge/VoiceStudio MJ PDF is a fast, simple, powerful and totally private PDF reader:

πŸ”— https://github.com/mudlej/mj_pdf PDF Document Layout Analysis. A Docker-powered service for PDF document layout analysis. This service provides a powerful and flexible PDF analysis service. The service allows for the segmentation and classification of different parts of PDF pages, identifying the elements such as texts, titles, pictures, tables and so on:

πŸ”— https://github.com/huridocs/pdf-document-layout-analysis

πŸ€– Universal Search & AI

NVIDIA Labs Object Oriented Agents. the Pythonic way to build AI Agents:

πŸ”— https://github.com/NVIDIA-NeMo/labs-OO-Agents Neo4j Agent Memory. A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j:

πŸ”— [https://github.com/neo4j-labs/agent-memory](https://github.com/neo4j-labs/agent-memory)

**OpenLive.** Open, self-hosted runtime for real-time voice agents - a Rust recreation of ChatGPT’s Advanced Voice Mode (GPT-Live), model-neutral:

πŸ”— [https://github.com/byte271/Openlive](https://github.com/byte271/Openlive)

Holy Claude. AI coding workstation: Claude Code + web UI + 8 AI CLIs + headless browser + 50+ tools:

πŸ”— https://github.com/CoderLuii/holyclaude FreeToken. Unlock datacenter-class intelligence on the hardware you already own β€” Run 290B+ frontier MoE models locally on your gaming PC at blistering interactive speeds:

πŸ”— https://github.com/FlashML-org/FreeToken IX. Understand any codebase instantly. System intelligence for codebases, built for humans and AI:

πŸ”— https://github.com/ix-infrastructure/Ix Neocarta. Library built for generating semantic layer graphs for query routing, query generation and data discovery:

πŸ”— https://github.com/neo4j-labs/neocarta PraisonAI. Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs:

πŸ”— https://github.com/MervinPraison/PraisonAI XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work:

πŸ”— https://github.com/xerj-org/xerj Awesome Legal Skills. A curated collection of the finest open-source agent skills for legal work, bringing together contributions from practicing lawyers, in-house counsel, academics, and legal technologists. Built on portable, open standards rather than proprietary agent formats, it aims to make AI accessible and practical for legal professionals:

πŸ”— https://github.com/lawve-ai/awesome-legal-skills Google Docs MCP. The Ultimate Google Docs, Sheets, Drive, Gmail, & Google Calendar MCP Server. This MCP (primarily for use in Claude Desktop) gains full access to your google suite and lets claude do its thing:

πŸ”— https://github.com/a-bonus/google-docs-mcp PDFtoChat. Chat with your PDFs in seconds. Powered by Together AI and Chroma:

πŸ”— https://github.com/Nutlope/pdftochat Pythia. Interpreting Transformers Across Time and Scale. This repository is for EleutherAI’s project Pythia which combines interpretability analysis and scaling laws to understand how knowledge develops and evolves during training in autoregressive transformers:

πŸ”— https://github.com/EleutherAI/pythia MatrAIx is a population-scale, persona-driven infrastructure for evaluating AI systems and interactive products with heterogeneous simulated users. Instead of testing against a generic or interchangeable user, MatrAIx instantiates sampled persona records as LLM agents and runs them through reproducible tasks across four environments - Survey, AI Chatbot, Web, and App (native desktop and mobile, including macOS and iOS):

πŸ”— https://github.com/MatrAIx-ai/MatrAIx-Persona-8B CatchMe. Makes Your Agents Truly Personal. CatchMe ships as an agent-compatible skill for CLI agents (OpenClaw, NanoBot, Claude, Cursor, etc.). Run CatchMe independently. Your agents query memories via CLI commands only:

πŸ”— https://github.com/HKUDS/CatchMe SkillDeck. Native macOS SwiftUI app for managing multiple AI code agent skills:

πŸ”— https://github.com/crossoverJie/SkillDeck

πŸ‘¨πŸ’» Software Development & APIs

Pipelex. Declarative language for composable Al workflows. Devtool for agents and mere humans:

πŸ”— https://github.com/Pipelex/pipelex Armada. A multi-cluster batch queuing system for high-throughput workloads on Kubernetes:

πŸ”— https://github.com/armadaproject/armada JsonDB a pure java database that stores its data as Json Files:

πŸ”— https://github.com/Jsondb/jsondb-core

🐧 Linux & DevOps

logto. Authentication and authorization infrastructure for SaaS and AI apps, built on OIDC and OAuth 2.1 with multi-tenancy, SSO, and RBAC:

πŸ”— [https://github.com/logto-io/logto](https://github.com/logto-io/logto)

**Terminator** is a cross-platform SSH client built with [Wails v3](https://v3.wails.io/) and Go. Supports self-hosted servers for sync.

Features:

  • Encryption. All sensitive data is encrypted locally using Argon2id and AES-256GCM.
  • Sync encrypted data across multiple devices. Data is encryptedbefore it leaves the client!
  • Lightweight. ~15MB binaries, ~10MB RAM.
  • Cross-platform:
  • Local first. You don’t have to use a server!:

πŸ”— https://github.com/terminator-ssh/terminator-desktop

πŸ”Œ Hardware & Devices

PhantomTap. A Flipper Zero that stops guessing and starts reasoning. ML-guided RFID/NFC fuzzing & access-control auditing that turns raw card reads into a prioritized, explainable security assessment. Defensive-use only:

πŸ”— https://github.com/Krishita17/PhantomTap

🚨 From CyberDetective

Track Wanted. Free online dashboard for tracking private jets, military jets and wanted persons jets:

πŸ“Œ Where to Follow

- **LinkedIn:** [https://www.linkedin.com/in/osintech/details/featured/](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.

πŸ“Œ Legal and ethical note

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.

πŸ“Œ About future updates

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.

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