heaven999b/hello-agent-system
👋 Hello Agent System — learn enterprise AI agent system design by building every production layer from scratch. 17 bilingual lessons (EN/中文) with tested exercises: tools, architectures, reliability, security, evals, distributed execution, cost, RAG, release ops. 企业级 Agent 系统设计训练营
Latest metrics (snapshot 2026-10-14)
| stars | 185 |
|---|---|
| forks | 3 |
| issues | 0 |
| pushed_at | 2026-09-28T16:08:10Z |
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 |
|---|---|
| 2026-10-14 | 185 |
ADC Momentum: 34/100
| Growth velocity | 40 |
|---|---|
| Consistency | 32 |
| Recency | 45 |
| 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
Embed this badge
Maintainers: add the live badge to your README (updates daily).
[](https://agentdataco.com/repo/heaven999b/hello-agent-system)<a href="https://agentdataco.com/repo/heaven999b/hello-agent-system"><img src="https://agentdataco.com/badge/repo/heaven999b/hello-agent-system.svg" alt="ADC Momentum"></a>Details
| description | 👋 Hello Agent System — learn enterprise AI agent system design by building every production layer from scratch. 17 bilingual lessons (EN/中文) with tested exercises: tools, architectures, reliability, security, evals, distributed execution, cost, RAG, release ops. 企业级 Agent 系统设计训练营 |
|---|---|
| url | https://github.com/heaven999b/hello-agent-system |
| language | Python |
| license | MIT |
| topics | agent ai-agents bilingual chinese course distributed-systems enterprise evals function-calling llm llmops multi-agent |
| created_at | 2026-09-27T01:18:37Z |
Get this data via API or MCP
Full daily history, trends and change events for heaven999b/hello-agent-system and thousands of other AI-ecosystem entities.
curl -H "Authorization: Bearer $ADC_KEY" \
"https://agentdataco.com/api/v1/github-ai-repos/history?entity=heaven999b%2Fhello-agent-system"
curl -H "Authorization: Bearer $ADC_KEY" \
"https://agentdataco.com/api/v1/github-ai-repos?repo=heaven999b%2Fhello-agent-system"Or connect your agent to our remote MCP server: https://agentdataco.com/mcp.
Maintainer? Claim this listing
Owners and vendors can submit a description, pricing and corrections. We email you a verification link; verified submissions are reviewed daily (a work email on the project's domain is fastest).