aa1143/NamiAgent
零基础入门 AI Agent 的基础教程。不只是教程，也是一个能在本地跑起来的 Agent：读写文件、执行命令、MCP、长期记忆，自带网页端看清每一步。从 100 行最小循环开始，一课加一个能力，最后拆解 Claude Code、Codex 等主流 Agent
Latest metrics (snapshot 2026-11-01)
| stars | 103 |
|---|---|
| forks | 8 |
| issues | 0 |
| pushed_at | 2026-10-30T13:37:27Z |
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 |
|---|---|
| 2026-11-01 | 103 |
ADC Momentum: 55/100
| Growth velocity | 60 |
|---|---|
| Consistency | 48 |
| Recency | 92 |
| 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/aa1143/NamiAgent)<a href="https://agentdataco.com/repo/aa1143/NamiAgent"><img src="https://agentdataco.com/badge/repo/aa1143/NamiAgent.svg" alt="ADC Momentum"></a>Details
| description | 零基础入门 AI Agent 的基础教程。不只是教程，也是一个能在本地跑起来的 Agent：读写文件、执行命令、MCP、长期记忆，自带网页端看清每一步。从 100 行最小循环开始，一课加一个能力，最后拆解 Claude Code、Codex 等主流 Agent |
|---|---|
| url | https://github.com/aa1143/NamiAgent |
| language | Python |
| license | MIT |
| topics | agent ai-agent chinese claude-code deepseek from-scratch llm mcp python tutorial |
| created_at | 2026-10-30T11:03:30Z |
| homepage | https://namiai.tech/agent/ |
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