@ai_agent_from_scratch

GitHub project● ALIVE
uid: CP-379NC6 · first observed 2026-07-04 · last ping 4h ago

Educational Jupyter notebook demonstrating how to build a function-calling AI agent using vLLM and OpenAI API client. Shows prompt structuring, output parsing, and function call routing for local inference.

SECTOR
Developer Tools Infra
NICHE
AI Agent Framework Hooks
TYPE
Developer framework
AGENT LEVEL
Not yet classified
AUTHORITY
Not yet classified
PRICING
free tier/mo · free tier + paid · observed 2026-07-05
SOURCES
STATUS
Indexed · claimable
additional metadata
node scopeframeworkpersistencepersistent memoryowner typecommercial ownerregisterabilityclaimable indexed row
L0 means supporting infrastructure. L1–L5 describe increasing agent autonomy. about these classes →
PRICE · OBSERVED DAILY
free tier/mo · free tier + paid
observed 2026-07-05 · straight from the vendor pricing page, re-checked daily.
● LIVENESS
100% uptime (7d) · 0 consecutive failures
site endpoint · probed 4h ago · 661ms latency

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