THUDM/VisualAgentBench
Towards Large Multimodal Models as Visual Foundation Agents
Latest metrics (snapshot 2026-10-15)
| stars | 278 |
|---|---|
| forks | 14 |
| issues | 17 |
| pushed_at | 2025-04-24T14:59:48Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-15 | 278 |
ADC Momentum: 15/100
| Growth velocity | 25 |
|---|---|
| Consistency | 20 |
| Recency | 0 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/THUDM/VisualAgentBench)<a href="https://agentdataco.com/repo/THUDM/VisualAgentBench"><img src="https://agentdataco.com/badge/repo/THUDM/VisualAgentBench.svg" alt="ADC Momentum"></a>Details
| description | Towards Large Multimodal Models as Visual Foundation Agents |
|---|---|
| url | https://github.com/THUDM/VisualAgentBench |
| language | Python |
| license | Apache-2.0 |
| topics | gpt llm-agent multimodal-large-language-models |
| created_at | 2024-08-08T15:26:11Z |
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