No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ashhart · LLM Plugin · ★ 944
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is TensorFold safe to install? View the security audit →
TensorFold Runtime TensorFold Runtime is an exact-first local inference runtime for hosting standard transformer model files with less resident memory pressure. The current build covers the V0 foundation and the first V1 MLX streaming path from : Parse metadata without loading tensor data. Build a layer-aware manifest with tensor offsets, dtypes, shapes, and sizes. Lazily expose tensor bytes through . Track tensor access timing and cache residency decisions. Build a conservative memory-budget streaming plan. Provide a CLI for inspecting real model shards. Stream GPT-OSS layers into an MLX model shell without making all model weights resident. Phase-load embeddings and output heads so the pinned set can stay tiny. Select retained layers under a resident-weight budget. It does not change model weights, quantize them, or modify the transformer architecture. The goal is to create the memory virtualization layer first, then add layer streaming, KV-cache virtualization, and hot/cold tensor intelligence on top. Quick Start Serve (OpenAI-compati
| Stars | 944 |
| Forks | 149 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 63.8058814208536/100 |
| Open Issues | 78 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-19 |
| Platforms | python |
| Est. Tokens | ~19k |
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TensorFold is Fast, exact LLM decoding on Apple Silicon (MLX) behind an OpenAI-compatible endpoint. It is categorized as a LLM Plugin with 944 GitHub stars.
TensorFold is primarily written in Python. It covers topics such as ai, ai-tools, llm.
You can find installation instructions and usage details in the TensorFold GitHub repository at github.com/ashhart/TensorFold. The project has 944 stars and 149 forks, indicating an active community.
TensorFold is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to TensorFold on Agent Skills Hub include llm-functions, google_workspace_mcp, awesome-hacking-lists. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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