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Excellent! I've gathered a lot of data. Let me now compile the findings and send the message. Let me also fetch a couple more specific papers that looked interesting.

Key findings:
1. **GitHub Agentic Workflows** - Technical preview launched Feb 13 (major OpenClaw competitor/alternative space)
2. **opencode** - 104k stars, open source coding agent
3. **system-prompts-and-models-of-ai-tools** - 114k stars, reverse engineered system prompts
4. **gemini-cli** - 94k stars, Google's AI agent for terminal
5. **oh-my-opencode** - 31k stars, agent harness
6. **claude-mem** - 28k stars, Claude Code memory plugin
7. **agenticSeek** - 25k stars, fully local Manus AI alternative
8. **Open-AutoGLM** - 23k stars, open phone agent
9. **serena** - 20k stars, MCP server for coding agents

MCP Servers:
1. **context7** - 45k stars, code documentation MCP server
2. **playwright-mcp** - 27k stars, Microsoft official
3. **github-mcp-server** - 27k stars, GitHub official
4. **Figma-Context-MCP** - 13k stars
5. **pal-mcp-server** - 11k stars, multi-provider MCP

Marketing automation:
1. **short-video-factory** - 3.4k stars, AI video generation
2. **postbot** - 541 stars, multi-platform content sync

Infra:
1. **nano-vllm** - 11.6k stars, minimal vLLM implementation
2. **tiny-llm** - 3.8k stars, course on LLM inference

3. **vllm-omni** - 2.7k stars, omni-modality inference
4. **vllm-ascend** - 1.7k stars, Huawei Ascend support

Research papers reveal some interesting developments: DeepGen 1.0 demonstrates impressive efficiency with a 5B parameter model that outperforms 80B alternatives on image generation tasks. CATTS introduces dynamic compute allocation for web agents, while a pedagogically-inspired knowledge distillation approach achieves 94.7% teacher model performance with just 1/10th the parameters.

I should organize these findings into a structured report covering the GitHub trending repositories, MCP server landscape, research highlights, and infrastructure developments worth monitoring.

Excellent data gathered! Now let me compile and send the Tech Radar report to the user.

message

📡 **Tech Radar** — 11:07 AM UTC, Feb 14, 2026

🚨 **BREAKING:** GitHub Agentic Workflows in Technical Preview (Feb 13) — AI agents natively in GitHub Actions with Markdown-based config. Supports Claude Code, OpenAI Codex, Copilot.
[Source](https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/)
**[FLAG: OpenClaw competitor / Agent framework]**

---

🚀 **RISING REPOS:**

• **opencode** (anomalyco) — Open source coding agent ⭐ 104,305
[Source](https://github.com/anomalyco/opencode)
**[FLAG: OpenClaw competitor]**

• **system-prompts-and-models-of-ai-tools** (x1xhlol) — Reverse-engineered system prompts from Cursor, Claude Code, Devin, Perplexity, etc. ⭐ 114,475
[Source](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools)
**[FLAG: Marketing-relevant / Agent research]**

• **gemini-cli** (google-gemini) — Google's official AI agent for terminal, MCP client/server built-in ⭐ 94,481
[Source](https://github.com/google-gemini/gemini-cli)
**[FLAG: OpenClaw competitor / MCP ecosystem]**

• **oh-my-opencode** (code-yeongyu) — "The best agent harness" — orchestration layer for multiple agents ⭐ 31,350
[Source](https://github.com/code-yeongyu/oh-my-opencode)
**[FLAG: OpenClaw ecosystem]**

• **claude-mem** (thedotmack) — Claude Code plugin with AI-powered memory/compression using agent-sdk ⭐ 28,061
[Source](https://github.com/thedotmack/claude-mem)
**[FLAG: OpenClaw ecosystem / Memory tool]**

• **agenticSeek** (Fosowl) — Fully local Manus AI alternative, no APIs, no $200 bills ⭐ 24,975
[Source](https://github.com/Fosowl/agenticSeek)
**[FLAG: OpenClaw competitor]**

---

🔌 **MCP SERVERS (Model Context Protocol):**

• **context7** (upstash) — Up-to-date code documentation for LLMs ⭐ 45,700
[Source](https://github.com/upstash/context7)
**[FLAG: MCP server / Marketing-relevant]**

• **playwright-mcp** (microsoft) — Official Microsoft Playwright MCP server ⭐ 27,130
[Source](https://github.com/microsoft/playwright-mcp)
**[FLAG: MCP server]**

• **github-mcp-server** (github) — GitHub's official MCP server ⭐ 26,911
[Source](https://github.com/github/github-mcp-server)
**[FLAG: MCP server]**

• **serena** (oraios) — Semantic retrieval & editing for coding agents ⭐ 20,201
[Source](https://github.com/oraios/serena)
**[FLAG: MCP server / OpenClaw ecosystem]**

• **pal-mcp-server** (BeehiveInnovations) — Universal MCP bridge for Claude/Gemini/Codex + any model ⭐ 11,059
[Source](https://github.com/BeehiveInnovations/pal-mcp-server)
**[FLAG: MCP server / Multi-provider]**

---

📄 **FRESH RESEARCH (Feb 13 arXiv drop - 226 papers):**

• **DeepGen 1.0** — 5B unified multimodal model beats 80B HunyuanImage by 28% on WISE. Uses "think tokens" and MR-GRPO RL.
[arXiv](https://arxiv.org/abs/2602.12205)
**[FLAG: SOTA claim / Efficient models]**

• **CATTS: Agentic Test-Time Scaling for WebAgents** — Dynamic compute allocation using uncertainty stats. 9.1% improvement, 2.3x fewer tokens than uniform scaling.
[arXiv](https://arxiv.org/abs/2602.12276)
**[FLAG: Agent architecture / Cost optimization]**

• **Pedagogically-Inspired Data Synthesis for LLM Distillation** — Students retain 94.7% of teacher performance with <1/10th parameters. 19.2% improvement on MATH.
[arXiv](https://arxiv.org/abs/2602.12172)
**[FLAG: SOTA claim / Knowledge distillation]**

---

⚡ **INFRA ALERTS:**

• **nano-vllm** (GeeeekExplorer) — Minimal vLLM implementation for learning ⭐ 11,683
[Source](https://github.com/GeeeekExplorer/nano-vllm)
**[FLAG: Performance / Education]**

• **tiny-llm** (skyzh) — Course: Build vLLM + Qwen on Apple Silicon ⭐ 3,795
[Source](https://github.com/skyzh/tiny-llm)
**[FLAG: Performance / Apple Silicon]**

• **vllm-omni** (vllm-project) — Omni-modality inference framework (audio/video/image) ⭐ 2,731
[Source](https://github.com/vllm-project/vllm-omni)
**[FLAG: Multi-modal inference]**

---

🎯 **MARKETING AUTOMATION:**

• **short-video-factory** (YILS-LIN) — AI batch auto-clipping for product marketing videos ⭐ 3,407
[Source](https://github.com/YILS-LIN/short-video-factory)
**[FLAG: Marketing-relevant / Content generation]**

• **postbot** (gitcoffee-os) — Multi-platform content sync (WeChat/Xiaohongshu/Zhihu/Twitter/X/etc) ⭐ 541
[Source](https://github.com/gitcoffee-os/postbot)
**[FLAG: Marketing-relevant / Social automation]**

• **agentkits-marketing** (aitytech) — Enterprise AI marketing automation for Claude/Cursor/Copilot ⭐ 282
[Source](https://github.com/aitytech/agentkits-marketing)
**[FLAG: Marketing-relevant / Agent tools]**

---
📊 **SUMMARY:** Heavy activity in agent frameworks (GitHub, Google, OpenCode competing). MCP ecosystem exploding with Microsoft/GitHub official servers. 5B models beating 80B on image tasks. Cost-efficient inference and distillation hot topics.


Now let me save the URLs to the memory file with appropriate tags as requested.

Now let me save all URLs to the memory file with tags:

write

# Tech Radar Scan — 2026-02-14 11:07 AM UTC

## GitHub Trending / Agentic AI
- https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/ #openclaw-ecosystem #openclaw-competitor
- https://github.com/anomalyco/opencode #openclaw-competitor
- https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools #marketing-relevant
- https://github.com/google-gemini/gemini-cli #openclaw-ecosystem #openclaw-competitor
- https://github.com/code-yeongyu/oh-my-opencode #openclaw-ecosystem
- https://github.com/thedotmack/claude-mem #openclaw-ecosystem
- https://github.com/Fosowl/agenticSeek #openclaw-competitor
- https://github.com/zai-org/Open-AutoGLM #openclaw-competitor
- https://github.com/oraios/serena #openclaw-ecosystem

## MCP Servers
- https://github.com/upstash/context7 #openclaw-ecosystem
- https://github.com/microsoft/playwright-mcp #openclaw-ecosystem
- https://github.com/github/github-mcp-server #openclaw-ecosystem
- https://github.com/GLips/Figma-Context-MCP #openclaw-ecosystem
- https://github.com/BeehiveInnovations/pal-mcp-server #openclaw-ecosystem
- https://github.com/hangwin/mcp-chrome #openclaw-ecosystem
- https://github.com/mcp-use/mcp-use #openclaw-ecosystem

## Research Papers
- https://arxiv.org/abs/2602.12205 #sota-model
- https://arxiv.org/abs/2602.12276 #openclaw-ecosystem
- https://arxiv.org/abs/2602.12172 #sota-model
- https://arxiv.org/abs/2602.12173 #infra-optimization
- https://arxiv.org/abs/2602.11908 #openclaw-ecosystem

## Marketing Automation
- https://github.com/YILS-LIN/short-video-factory #marketing-relevant
- https://github.com/gitcoffee-os/postbot #marketing-relevant
- https://github.com/aitytech/agentkits-marketing #marketing-relevant
- https://github.com/felipfr/awesome-n8n-workflows #marketing-relevant

## Infrastructure / Inference
- https://github.com/GeeeekExplorer/nano-vllm #infra-optimization
- https://github.com/skyzh/tiny-llm #infra-optimization
- https://github.com/vllm-project/vllm-omni #infra-optimization
- https://github.com/vllm-project/vllm-ascend #infra-optimization
- https://github.com/snowflakedb/ArcticInference #infra-optimization
- https://github.com/waybarrios/vllm-mlx #infra-optimization

---
*Generated by Magoo Tech Radar hourly scan*


Successfully wrote 2264 bytes to memory/2026-02-14.md


Done. I've completed the tech radar scan and:

1. Sent the comprehensive report to the user via Telegram with all the findings
2. Saved all URLs to memory/2026-02-14.md with appropriate tags

Key highlights found:
- GitHub Agentic Workflows launched (major news - direct OpenClaw competitor space)
- Multiple high-star repos in the agent space (opencode 104k, gemini-cli 94k, etc.)
- MCP server ecosystem exploding (Microsoft, GitHub official servers)
- DeepGen 1.0 - 5B model beating 80B on image tasks
- Various marketing automation tools
- Several vLLM-related infra optimizations

The scan was successful and delivered on time.

✅ **Tech Radar scan complete!**

**Report sent to:** 6558388607 (Telegram)
**URLs logged to:** `memory/2026-02-14.md`

---

**Key Findings Summary:**

| Category | Highlights |
|----------|------------|
| **🚨 Breaking** | GitHub Agentic Workflows tech preview — AI agents in Actions, natively supports Claude Code/Codex |
| **⭐ Top Repos** | opencode (104k★), gemini-cli (94k★), system-prompts leak (114k★) |
| **🔌 MCP Ecosystem** | context7 (45k★), playwright-mcp (27k★), github-mcp-server (27k★) — Microsoft/GitHub officially in |
| **📄 Research** | DeepGen 1.0: 5B beats 80B on image gen; CATTS: 2.3x token savings for web agents |
| **⚡ Infra** | nano-vllm (11k★), tiny-llm course, vllm-omni for multi-modal |
| **📈 Marketing** | short-video-factory (3.4k★), postbot multi-platform sync |

**Alert Thresholds Triggered:**
- ✅ OpenClaw competitor detected: GitHub Agentic Workflows, opencode, gemini-cli, agenticSeek
- ✅ MCP servers: 6 new high-star tools
- ✅ Marketing-relevant: 4 repos for content automation
- ✅ SOTA model: DeepGen 1.0 (5B beating 80B)