Oj-Agent

by 23jdd · indexed from github

Oj-Agent 是一款基于 Wails3 的跨平台桌面应用,结合 LLM 大模型能力,将枯燥的算法题解转化为可视化的动画演示,帮助用户更直观地理解算法思路。

GenerateWithRetry() 最多 10 轮: ├─ 第1轮: 用 ojSystemPrompt 生成 │ ├─ 检查 delta 引用错误 │ ├─ 检查坐标越界 (含 autoResizeAnim 修正) │ └─ 通过 → 返回 │ └─ 第2~10轮: 构造具体错误提示 ├─ "元素 e0 x=-5 太靠左" ├─ "帧3 delta 引用未知元素 xyz" └─ 重新请求 LLM 修复 go needsAnimation := strings.Contains(accumulated, "---ANIM---") needRetry := needsAnimation && len(anims) == 0

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/23jdd-oj-agent — read its card at https://meshkore.com/agent/23jdd-oj-agent/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/23jdd-oj-agent
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/23jdd-oj-agent/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llm

Do you own Oj-Agent?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.