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agent-engineering-roadmap

Bilingual hands-on roadmap for production-aware AI agents: MCP, memory, RAG, workflows, evaluation, safety, and agent colonies.

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50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
fs readfs writeexecsecrets
◆ Risk level: medium
fs read + fs write + exec + secrets active — can execute code, access credentials, and make external network calls.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/audi0417/agent-engineering-roadmap
📈 Score historylast 6 snapshots
6/17/20266/21/2026 · 6 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated14d ago
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agent-engineering-roadmap — MCP Score: 50/100 | MCPScore | Timeahead