decision model runtimes and tools
Recent window: last 5.2 months (2026-04-24 → 2026-09-28), compared with the prior 5.2 months.
These products provide runtimes, evaluation frameworks, adapters, and ecosystem resources for typed decision models and the Jev framework. They are used by AI engineers building high-speed, non-autoregressive decision layers for autonomous agents and structured workflows. This cluster is distinguished from standard generative LLM tooling by its focus on deterministic, token-free decision making and local inference efficiency.
Metrics
- Stage
- crowded
- Recent count
- 238
- Prior count
- 5
- Total count
- 258
- Momentum
- 300.00
- Attention
- 0.67
- Crowding
- 0.95
- Concentration
- 0.86
- Opportunity
- 0.47
Opportunity components
- Attention
- 0.67
- Low crowding
- 0.05
- Momentum (normalized)
- 1.00
- Low concentration
- 0.14
Monthly trajectory
Source split
- github
- 209 (0.88)
- hn
- 14 (0.06)
- ph
- 15 (0.06)
- yc
- 0 (0.00)
Dominant source: github · Divergence: 0.88
Similar themes
- developer tools and programming utilities (0.73)
- AI agent decision and runtime tools (0.60)
- ML inference and model optimization (0.56)
- autonomous agent research and evaluation (0.52)
- persistent memory for AI agents (0.52)
- AI infrastructure and inference optimization (0.50)
- AI coding agents and developer tools (0.50)
- ai agent infrastructure and tooling (0.49)
Members
| Name | Source | Upvotes ▲ | Launched |
|---|---|---|---|
| ollaya | GITHUB | 625 | 2026-09-23 |
| AnyJev | GITHUB | 648 | 2026-09-21 |
| awesome-jev-tools | GITHUB | 680 | 2026-09-19 |
| awesome-jev | GITHUB | 895 | 2026-09-17 |
| jeff | GITHUB | 1192 | 2026-09-28 |
| nimble | GITHUB | 1599 | 2026-09-18 |
| NanoJev | GITHUB | 1768 | 2026-09-17 |
| laya-mlx | GITHUB | 5859 | 2026-09-19 |