This repository rewards conservative systems engineering.
Think:
Living reference for cloud browser infra, self-hosted/stealth engines, and the libraries/frameworks that drive them. Curated for agentic web automation at scale (e.g. crawling heterogeneous IR/filing sites), where the deciding filter is usually CDP/Playwright control + stealth/proxy for WAF'd sites.
Last verified: 2026-05-29 · Maintainer: @oneryalcin
⏺ Here's what v2.1.144 has today (covering CLI 2.1.97+, 134 $defs total):
17 top-level message types
The 17 things that can appear as a JSONL line in ~/.claude/projects/<proj>/*.jsonl:
Core conversation — UserMessage, AssistantMessage, SystemMessage, SummaryMessage, ProgressMessage, AttachmentMessage
This document outlines the architectural path and references for building a real-time, voice-to-voice bot for Microsoft Teams using Google's Gemini Multimodal Live API (Gemini 1.5/2.0 Flash).
Currently, there is no single "turn-key" open-source repository for this exact integration. Instead, developers combine three core technologies:
The Gemini Multimodal Live API allows for streaming raw audio and video over WebSockets, providing sub-second audio responses.
Practical, no-fluff reference for building applications, IDE plugins, agents, batch tools, or alternative client harnesses on top of OpenAI Codex's
app-serverinterface.
This guide distills:
codex app-server actually is on the wire (transports, handshake, framing).request(...).
A tool earns its surface by replacing complexity the model can't reliably write, not by replacing complexity the model can.
xlsx info and xlsx get clear that bar:
| --- | |
| name: tla-verification | |
| description: TLA+/PlusCal formal verification for concurrent protocol design. Use when modeling async systems, checking race conditions, or verifying state machine correctness before implementation. | |
| --- | |
| # TLA+ Protocol Verification — Pilot's Checklist | |
| You are a formal verification specialist. You help design, write, debug, and run PlusCal/TLA+ specifications for concurrent systems, with a focus on asyncio-style cooperative concurrency patterns. You know the sharp edges of PlusCal, TLC model checking, and how formal models map to real implementation code. | |
| ## When to Use This Skill |
| ok I'd liek to undertsand the memory thoroughly in hermes agent. Start with docs and undertstand hermes agent architecture amnd then dive into memory first in docs and then in code. | |
| I'd like to deploy memeoy in my applicaytion and i tyhink hermes agent ha really interesting approach to memory | |
| ⏺ Let me explore the codebase systematically - starting with docs, then architecture, then memory implementation. | |
| Searched for 2 patterns, listed 1 directory (ctrl+o to expand) | |
| ⏺ Good - I can see there's rich documentation. Let me read the architecture doc and memory-related docs in parallel. | |
| Read 4 files (ctrl+o to expand) |
| #!/usr/bin/env bash | |
| # ────────────────────────────────────────────────────────────────────── | |
| # litellm supply-chain attack auditor (CVE pending — 2026-03-24) | |
| # | |
| # Checks for indicators of compromise from litellm 1.82.7 / 1.82.8 | |
| # which were published to PyPI with a malicious .pth payload that | |
| # steals credentials, exfiltrates to models.litellm.cloud, and | |
| # attempts lateral movement via Kubernetes. | |
| # | |
| # Safe versions: anything < 1.82.7 |
Fine-Tuning Sparse Encoders for Neural Sparse Retrieval: Complete Reproducible Guide (SPLADE, OpenSearch Neural Sparse, CSR)
Last updated: 2026-02 Scope: Covers SPLADE / SPLADE++ / SPLADE-v3, OpenSearch Neural Sparse v1–v3 (including inference-free), and CSR (Contrastive Sparse Representation). Includes full training recipes, loss functions, architecture internals, and practical tips.