dev-1.0
面向 Agent 的轻量级工具选择与概率决策模型，基于 Qwen3.5-0.8B；DI BFCL 工具名选择准确率 77.39%。
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GITHUB · launched Oct 15, 2026 · 15 upvotes (top 78%)
- Horizontal
- Agent / copilot
- Developer
- AI-native
- Hobby / open-source project
Similar launches
See all 341 similar launches →Could you build this?
Partial The tool-selection interface and inference wrapper are easy to build. Getting a fine-tuned small model that beats baselines on benchmarks requires curated training data and a reproducible training pipeline, which the vibe coder would not have.
What it would actually take: The stack is a Qwen-family 0.8B base model fine-tuned with supervised learning on tool-call decision data, served via a simple Python or ONNX API. The hard part is the dataset of agent tasks with correct tool choices and probabilities, plus evaluation on benchmarks like BFCL. A practitioner with ML training experience and some compute is needed to get the reported accuracy.
Competitors
Other products that read as similar to this one : 341 launches clear the similarity bar, closest 8 shown.
Attention rank: #278 of 342 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 345 days after the earliest competitor.
- qz-browser-agent · github · 2026-10-12 · 45 upvotes · similarity 0.49
- QwenJev · github · 2026-09-21 · 33 upvotes · similarity 0.48
- Langchain_DG · github · 2026-09-13 · 32 upvotes · similarity 0.47
- qq-agent-plus · github · 2026-09-18 · 27 upvotes · similarity 0.46
- Agent-OS · github · 2026-10-14 · 76 upvotes · similarity 0.45
- agent-stardew · github · 2026-09-19 · 9 upvotes · similarity 0.45
- qwen3.8-27b-ninfer-5070tilaptop-kvmem-local-agent · github · 2026-10-15 · 15 upvotes · similarity 0.44
- ElecKoi · github · 2026-09-11 · 8 upvotes · similarity 0.44
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