Tencent
@tencent • Open source projects from tencent. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
77%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
26 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (21), TypeScript (4), JavaScript (1)
Average size
164
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-09-11(1d ago)GitHub API fallback30 repositories
77%
of the visible star count comes from this organization's top three repositories.
164
stars per repository in this same snapshot.
Python
is the most common language here, with 26 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 30 repositories.
Balanced portfolio across 30 reposTop 3 share 77%
Organization pages work best when you separate portfolio breadth from flagship concentration. In Tencent's case, the visible top three repositories account for about 77% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (21), TypeScript (4), JavaScript (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | tencent/BrowserSkill Let AI agents use your real, logged-in browser without interrupting your work. CLI + extension for browser automation across any shell-capable AI agent. | TypeScript | 2K |
| 2 | tencent/WeMM-Embedding WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval. | Python | 1.5K |
| 3 | tencent/workbuddy-bench | Python | 339 |
| 4 | tencent/AngelSpec A unified, torch-native training framework for MTP and block-parallel speculative decoding. | Python | 266 |
| 5 | tencent/wave-mcp Open-source, license-free MCP server for RTL waveform debug: reads FST waveforms (VCD/FSDB auto-convert) plus a SystemVerilog netlist, with 34 tools covering driver analysis, value/X tracing, pass-fail waveform diff, a browser wave viewer the agent drives, and pre-simulation static analysis. | Python | 200 |
| 6 | tencent/SkillHone Continual agent skill evolution through persistent decision history. Whole-skill optimisation (SKILL.md + scripts + references) with every decision landing as a local Git issue / PR / wiki. Runs on any agentskills.io runtime — Claude Code, Codex, OpenClaw, Hermes. | Python | 149 |
| 7 | tencent/ContextPilot | Python | 119 |
| 8 | tencent/UI-Mate Advancing Foundation GUI Agents with In-Context Demonstrations | JavaScript | 93 |
| 9 | tencent/EVIE | Python | 45 |
| 10 | tencent/AgentlyMail | 39 | |
| 11 | tencent/UCL-MPComm A high-performance, RDMA-native data-plane library for large-scale heterogeneous memory pools, developed by the Tencent Astral Network Team. | C++ | 32 |
| 12 | tencent/LoopForge Resumable multi-agent development workflows for coding agents (CodeBuddy, Codex, Cursor, Claude Code). | Python | 32 |
| 13 | tencent/R3-Skill | Python | 28 |
| 14 | tencent/skillhub SkillHub Open API documentation, examples, and DeepSeek Harness plugin | TypeScript | 26 |
| 15 | tencent/Universal_Audio_Tokenizer | Python | 20 |
| 16 | tencent/Light-SQ | Python | 18 |
| 17 | tencent/Ex-Omni | Python | 17 |
| 18 | tencent/Skills-Know-Their-Neighbors | Python | 10 |
| 19 | tencent/DiffSpot | Python | 10 |
| 20 | tencent/TokenHub-Vendor-Verifier | Python | 8 |
| 21 | tencent/AILightGame | Lua | 8 |
| 22 | tencent/ElephantBench | Python | 6 |
| 23 | tencent/tencent-goosefs-rust-sdk Tencent Cloud GooseFS RUST SDK | Rust | 3 |
| 24 | tencent/MemoryForge | Python | 2 |
| 25 | tencent/AdaSkill | Python | 2 |
| 26 | tencent/TSIfDef Conditional compilation for TypeScript — C-style #if / #elif / #else / #endif macros. Build multiple products from one source tree with one Profile. Includes CLI compiler, ESLint integration, and VS Code extension.为 TypeScript 带来 C 风格的 #if 条件编译：一份源码、一个 Profile，构建多个产品。包含 CLI 编译器、ESLint 集成与 VS Code 插件。 | TypeScript | 1 |
| 27 | tencent/legged_model_export | Python | 1 |
| 28 | tencent/VideoHarness-RSI | Python | 1 |
| 29 | tencent/openclaw-tencent-provider | TypeScript | 1 |
| 30 | tencent/legged_rl_gym | Python | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.