pipeline/test/fixtures/github-trending.json

# GitHub Trending Today

- **DeusData/codebase-memory-mcp**: High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies. (C, 8.6k stars)
- **google-research/timesfm**: TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. (Python, 24.2k stars)
- **palmier-io/palmier-pro**: macOS video editor built for AI (Swift, 2.1k stars)
- **koala73/worldmonitor**: Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface (TypeScript, 57.5k stars)
- **aishwaryanr/awesome-generative-ai-guide**: A one stop repository for generative AI research updates, interview resources, notebooks and much more! (HTML, 27.7k stars)

---

## DeusData/codebase-memory-mcp

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
<!-- repo-meta: {"owner":"DeusData","name":"codebase-memory-mcp","fullName":"DeusData/codebase-memory-mcp","language":"C","languageColor":"","stars":8590,"forks":653,"license":"MIT"} -->
<!-- repo-images: {"socialPreview":"DeusData/codebase-memory-mcp","starHistory":"https://api.star-history.com/svg?repos=DeusData/codebase-memory-mcp&type=Date"} -->

### README
# codebase-memory-mcp

[![GitHub Release](https://img.shields.io/github/v/release/DeusData/codebase-memory-mcp?style=flat&color=blue)](https://github.com/DeusData/codebase-memory-mcp/releases/latest)
[![License](https://img.shields.io/badge/license-MIT-green)](LICENSE)
[![CI](https://img.shields.io/github/actions/workflow/status/DeusData/codebase-memory-mcp/dry-run.yml?label=CI)](https://github.com/DeusData/codebase-memory-mcp/actions/workflows/dry-run.yml)
[![Tests](https://img.shields.io/badge/tests-5604_passing-brightgreen)](https://github.com/DeusData/codebase-memory-mcp)
[![Languages](https://img.shields.io/badge/languages-158-orange)](https://github.com/DeusData/codebase-memory-mcp)
[![Hybrid LSP](https://img.shields.io/badge/Hybrid_LSP-9_languages-blue)](#hybrid-lsp)
[![Agents](https://img.shields.io/badge/agents-11-purple)](https://github.com/DeusData/codebase-memory-mcp)
[![Pure C](https://img.shields.io/badge/pure_C-zero_dependencies-blue)](https://github.com/DeusData/codebase-memory-mcp)
[![Platform](https://img.shields.io/badge/macOS_%7C_Linux_%7C_Windows-supported-lightgrey)](https://github.com/DeusData/codebase-memory-mcp/releases/latest)
[![OpenSSF Scorecard](https://api.scorecard.dev/projects/github.com/DeusData/codebase-memory-mcp/badge)](https://scorecard.dev/viewer/?uri=github.com/DeusData/codebase-memory-mcp)
[![SLSA 3](https://slsa.dev/images/gh-badge-level3.svg)](https://slsa.dev)
[![VirusTotal](https://img.shields.io/badge/VirusTotal-scanned_every_release-brightgreen?logo=virustotal)](https://github.com/DeusData/codebase-memory-mcp/releases/latest)
[![arXiv](https://img.shields.io/badge/arXiv-2603.27277-b31b1b?logo=arxiv)](https://arxiv.org/abs/2603.27277)

**The fastest and most efficient code intelligence engine for AI coding agents.** Full-indexes an average repository in milliseconds, the Linux kernel (28M LOC, 75K files) in 3 minutes. Answers structural queries in under 1ms. Ships as a single static binary for macOS, Linux, and Windows — 
...

---

## google-research/timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
<!-- repo-meta: {"owner":"google-research","name":"timesfm","fullName":"google-research/timesfm","language":"Python","languageColor":"","stars":24192,"forks":2286,"license":"Apache-2.0"} -->
<!-- repo-images: {"socialPreview":"google-research/timesfm","starHistory":"https://api.star-history.com/svg?repos=google-research/timesfm&type=Date"} -->

### README
# TimesFM

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation
model developed by Google Research for time-series forecasting.

*   Paper:
    [A decoder-only foundation model for time-series forecasting](https://arxiv.org/abs/2310.10688),
    ICML 2024.
*   All checkpoints:
    [TimesFM Hugging Face Collection](https://huggingface.co/collections/google/timesfm-release-66e4be5fdb56e960c1e482a6).
*   [Google Research blog](https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/).
*   TimesFM in Google 1P Products:
    *   [BigQuery ML](https://cloud.google.com/bigquery/docs/timesfm-model): Enterprise level SQL queries for scalability and reliability.
    *   [Google Sheets](https://workspaceupdates.googleblog.com/2026/02/forecast-data-in-connected-sheets-BigQueryML-TimesFM.html): For your daily spreadsheet. 
    *   [Vertex Model Garden](https://pantheon.corp.google.com/vertex-ai/publishers/google/model-garden/timesfm): Dockerized endpoint for agentic calling.

This open version is not an officially supported Google product.

**Latest Model Version:** TimesFM 2.5

**Archived Model Versions:**

-   1.0 and 2.0: relevant code archived in the sub directory `v1`. You can `pip
    install timesfm==1.3.0` to install an older version of this package to load
    them.
## Update - June 5, 2026

Updated PyPI to `timesfm=2.0.0`. See [Install](https://github.com/google-research/timesfm#from-pypi).

## Update - Apr. 9, 2026

Added fine-tuning example using HuggingFace Transformers + PEFT (LoRA) — see
[`timesfm-forecasting/examples/finetuning/`](timesfm-forecasting/examples/finetuning/).
Also added unit tests (`tests/`) and incorporated several community fixes.

Shoutout to [@kashif](https://github.com/kashif) and [@darkpowerxo](https://github.com/darkpowerxo). 

## Update - Mar. 19, 2026

Huge shoutout to [@borealBytes](https://github.com/borealBytes) for adding the support for [AGENTS](https://github.com/google-research
...

---

## palmier-io/palmier-pro

macOS video editor built for AI
<!-- repo-meta: {"owner":"palmier-io","name":"palmier-pro","fullName":"palmier-io/palmier-pro","language":"Swift","languageColor":"","stars":2136,"forks":206,"license":"GPL-3.0"} -->
<!-- repo-images: {"socialPreview":"palmier-io/palmier-pro","starHistory":"https://api.star-history.com/svg?repos=palmier-io/palmier-pro&type=Date"} -->

### README
<div align="center">

# Palmier Pro

**The video editor built for AI.**

<a href="https://github.com/palmier-io/palmier-pro/releases/latest/download/PalmierPro.dmg">
  <img src="./assets/macos-badge.png" alt="Download palmierpro for macOS" width="180" />
</a>

<sub><i>Requires macOS 26 (Tahoe) on Apple Silicon</i></sub>

<a href="https://x.com/Palmier_io"><img src="https://img.shields.io/badge/Follow-%40Palmier__io-000000?style=flat&logo=x&logoColor=white" alt="Follow on X" /></a>
<a href="https://discord.com/invite/SMVW6pKYmg"><img src="https://img.shields.io/badge/Join-Discord-5865F2?style=flat&logo=discord&logoColor=white" alt="Join Discord" /></a>
<a href="https://www.ycombinator.com/companies/palmier"><img src="https://img.shields.io/badge/Y%20Combinator-S24-orange" alt="Y Combinator S24" /></a>

</div>

<img src="./assets/palmier-ui.png" alt="palmierpro UI" width="900" />

---

Palmier Pro is an open source video editor for Mac. You and your agent can generate and edit videos together inside the timeline.

### Swift-native video editor

We built Palmier Pro from scratch with Swift. The north star is Premiere Pro, with our take on integrating AI into the workflow.

### Built-in Generative AI

Generate videos and images with SOTA models like Seedance, Kling, Nano Banana Pro inside the timeline editor.

### Integrates with your agents

Connects your Claude/Codex/Cursor via MCP, or use the in-app agent to work on the same project together.

## MCP server

When the app is open, it exposes an MCP server at `http://127.0.0.1:19789/mcp` via HTTP. To connect:

**Claude Code**
```bash
claude mcp add --transport http palmier-pro http://127.0.0.1:19789/mcp
```

**Codex**
```bash
codex mcp add palmier-pro --url http://127.0.0.1:19789/mcp
```

**Cursor**

The easiest way is go inside the app `Help` -> `MCP Instructions` -> `Install in Cursor`, or install manually by adding this to `~/.cursor/mcp.json`:

```
{
  "mcpServers": {
    "palmier-pro": {
      "type": "http",
    
...

---

## koala73/worldmonitor

Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
<!-- repo-meta: {"owner":"koala73","name":"worldmonitor","fullName":"koala73/worldmonitor","language":"TypeScript","languageColor":"","stars":57471,"forks":9152,"license":"NOASSERTION"} -->
<!-- repo-images: {"socialPreview":"koala73/worldmonitor","starHistory":"https://api.star-history.com/svg?repos=koala73/worldmonitor&type=Date"} -->

### README
# World Monitor

**Real-time global intelligence dashboard** — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.

[![GitHub stars](https://img.shields.io/github/stars/koala73/worldmonitor?style=social)](https://github.com/koala73/worldmonitor/stargazers)
[![Discord](https://img.shields.io/badge/Discord-Join-5865F2?style=flat&logo=discord&logoColor=white)](https://discord.gg/re63kWKxaz)
[![License: AGPL v3](https://img.shields.io/badge/License-AGPL%20v3-blue.svg)](https://www.gnu.org/licenses/agpl-3.0)
[![TypeScript](https://img.shields.io/badge/TypeScript-007ACC?style=flat&logo=typescript&logoColor=white)](https://www.typescriptlang.org/)
[![Last commit](https://img.shields.io/github/last-commit/koala73/worldmonitor)](https://github.com/koala73/worldmonitor/commits/main)
[![Latest release](https://img.shields.io/github/v/release/koala73/worldmonitor?style=flat)](https://github.com/koala73/worldmonitor/releases/latest)

<p align="center">
  <a href="https://worldmonitor.app"><img src="https://img.shields.io/badge/Web_App-worldmonitor.app-blue?style=for-the-badge&logo=googlechrome&logoColor=white" alt="Web App"></a>&nbsp;
  <a href="https://tech.worldmonitor.app"><img src="https://img.shields.io/badge/Tech_Variant-tech.worldmonitor.app-0891b2?style=for-the-badge&logo=googlechrome&logoColor=white" alt="Tech Variant"></a>&nbsp;
  <a href="https://finance.worldmonitor.app"><img src="https://img.shields.io/badge/Finance_Variant-finance.worldmonitor.app-059669?style=for-the-badge&logo=googlechrome&logoColor=white" alt="Finance Variant"></a>&nbsp;
  <a href="https://commodity.worldmonitor.app"><img src="https://img.shields.io/badge/Commodity_Variant-commodity.worldmonitor.app-b45309?style=for-the-badge&logo=googlechrome&logoColor=white" alt="Commodity Variant"></a>&nbsp;
  <a href="https://happy.worldmonitor.app"><img src="https://img.shields.io/badge/Happy_Variant-happy.worldmonitor.app-f59e0b?st
...

---

## aishwaryanr/awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!
<!-- repo-meta: {"owner":"aishwaryanr","name":"awesome-generative-ai-guide","fullName":"aishwaryanr/awesome-generative-ai-guide","language":"HTML","languageColor":"","stars":27724,"forks":5744,"license":"MIT"} -->
<!-- repo-images: {"socialPreview":"aishwaryanr/awesome-generative-ai-guide","starHistory":"https://api.star-history.com/svg?repos=aishwaryanr/awesome-generative-ai-guide&type=Date"} -->

### README
# :star: :bookmark: awesome-generative-ai-guide

Generative AI is experiencing rapid growth, and this repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more!

<a href="https://trendshift.io/repositories/7663" target="_blank"><img src="https://trendshift.io/api/badge/repositories/7663" alt="aishwaryanr%2Fawesome-generative-ai-guide | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>

Explore the following resources:

1. [Monthly Best GenAI Papers List](https://github.com/aishwaryanr/awesome-generative-ai-guide?tab=readme-ov-file#star-best-genai-papers-list-january-2024)
2. [GenAI Interview Resources](https://github.com/aishwaryanr/awesome-generative-ai-guide?tab=readme-ov-file#computer-interview-prep)
3. [Applied LLMs Mastery 2024 (created by Aishwarya Naresh Reganti) course material](https://github.com/aishwaryanr/awesome-generative-ai-guide?tab=readme-ov-file#ongoing-applied-llms-mastery-2024)
4. [Generative AI Genius 2024 (created by Aishwarya Naresh Reganti) course material](https://github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/free_courses/generative_ai_genius/README.md)
5. [AI Evals for Everyone (created by Aishwarya Naresh Reganti & Kiriti Badam) - Get Certified!](https://github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/free_courses/ai_evals_for_everyone/README.md)
6. **[NEW] [OpenClaw Mastery for Everyone (created by Aishwarya Reganti & Kiriti Badam) - Get Certified!](https://github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/free_courses/openclaw_mastery_for_everyone/README.md)**
7. [List of all GenAI-related free courses (over 90 listed)](https://github.com/aishwaryanr/awesome-generative-ai-guide?tab=readme-ov-file#book-list-of-free-genai-courses)
8. [List of code repositories/notebooks for developing generative AI applications](https://github.com/aishwaryanr/awesome-generative-ai-guide?tab=readme-ov-file#notebook-code-notebooks
...