Single-file executables for LLMs from Mozilla. Download one file, run any model — no install, no dependencies, works on every OS.
Best For
Teams & solo builders
Key Pros & Cons
Strengths
Bulk data export — your data stays portable
Webhook support — enables event-driven pipelines
Watch Out For
Low community score (2/100) — smaller support network
Market Momentum
43
+14
24h
+30
7d
+40
30d
14-day heat score history
Creator Buzz3
Search Interest68
Community Activity2
Abandonment & Maintenance Risk
Low Risk
Trend phaseRising
30-day score change+40 pts
Listed on HookFlow2mo old
Discontinued flag✓ No
Risk Factors
No major abandonment signals detected
Active growth — strong maintenance signal
Data Lock-In Index
0
/ 100 (lower = more open)
Open-Data Compliant ✓
✓ Webhooks Out✓ Bulk Export✓ Open Formats
vs. Category Peers (Local AI)
Tool
A.R.C.
Heat
7d Δ
Lock-In
Llamafile (this)
—
43
+30
0
LibreChat▲ Rising
Multi-provider chat UI
—
50
+25
100
LM Studio▲ Rising
Local GUI & API serving
—
46
+33
0
Koboldcpp▲ Rising
Roleplay & story AI
Snapshot Disclaimer: All scores, rankings, and metrics in this report reflect data as of June 20, 2026. Heat scores, community activity, and market momentum are recalculated daily — figures shown here represent a point-in-time snapshot and may differ from current values on HookFlow.ai.
HookFlow.ai Infrastructure Report — June 20, 2026hookflow.ai
Growth Momentum100
Score ForecastConfidence: low
12
7-day est.
12
14-day est.
Trend slope: 0.00 pts/day
What This Score Means
Llamafile is in the rising phase within Local AI, gaining +30 pts this week — adoption is building.
—
44
+20
0
llama.cpp▲ Rising
—
43
+31
0
Ollama▲ Rising
Run open-weight LLMs locally with zero configuration
—
43
+10
33
Lock-In: 0 = fully open, 100 = maximum data lock-in. A.R.C. = Architecture · Reliability · Context score (A–F).
