High-performance LLM inference in C++ enabling local AI on CPUs and Apple Silicon. The foundational engine powering most local AI tools.
Best For
Teams & solo builders
Key Pros & Cons
Strengths
Bulk data export β your data stays portable
Webhook support β enables event-driven pipelines
Watch Out For
Low community score (7/100) β smaller support network
Market Momentum
43
-1
24h
+31
7d
+44
30d
14-day heat score history
Creator Buzz9
Search Interest56
Community Activity7
Abandonment & Maintenance Risk
Low Risk
Trend phaseRising
30-day score change+44 pts
Listed on HookFlow2mo old
Discontinued flagβ No
Risk Factors
No major abandonment signals detected
Active growth β strong maintenance signal
Negative score trajectory (-3.00 pts/day)
Data Lock-In Index
0
/ 100 (lower = more open)
Open-Data Compliant β
β Webhooks Outβ Bulk Exportβ Open Formats
vs. Category Peers (Local AI)
Tool
A.R.C.
Heat
7d Ξ
Lock-In
llama.cpp (this)
β
43
+31
0
LibreChatβ² Rising
Multi-provider chat UI
β
50
+25
100
LM Studioβ² Rising
Local GUI & API serving
β
46
+33
0
Koboldcppβ² 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 β figures shown here represent a point-in-time snapshot and may differ from current values on HookFlow.ai.
HookFlow.ai Infrastructure Report β June 20, 2026hookflow.ai
Growth Momentum100
Score ForecastConfidence: low
0
7-day est.
0
14-day est.
Trend slope: -3.00 pts/day
What This Score Means
llama.cpp is in the rising phase within Local AI, gaining +31 pts this week β adoption is building.
β
44
+20
0
Llamafileβ² Rising
β
43
+30
0
Ollamaβ² Rising
Run open-weight LLMs locally with zero configuration
β
43
+10
33
Lock-In: 0 = fully open, 100 = maximum data lock-in. A.R.C. = Architecture Β· Reliability Β· Context score (AβF).