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Comparison

Shikigami vs TensorSharp

A factual side by side of two tools in Hosting & Devtools. Figures come from each product’s own site.

Shikigami

Listed

An agentic IDE for running a pack of AI coding agents (Claude Code, OpenAI Codex, and opencode, with local models via Ollama) in parallel, each in its own isolated git...

TensorSharp

Listed

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code.

Shikigami compared with TensorSharp
 ShikigamiTensorSharp
CategoryHosting & DevtoolsHosting & Devtools
Pricing modelNot disclosedNot disclosed
Starting priceNot disclosedNot disclosed
Free tierNoNo
PlatformsNot disclosedNot disclosed
Techavy scoreNot rated yetNot rated yet

About Shikigami

An agentic IDE for running a pack of AI coding agents (Claude Code, OpenAI Codex, and opencode, with local models via Ollama) in parallel, each in its own isolated git worktree, each resumable. A desktop app to review their work: built-in editor, terminals, git, databases, and Docker. Free. macOS, Linux & Windows. Shikigami: Run coding agents in parallel Skip to content.

About TensorSharp

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code. TensorSharp Wiki, Local GGUF inference and agentic work for .NET Skip to content. Everything runs on your own hardware : your laptop, workstation, or server. Inference and agent work stay local by default, there are no per-token fees, and the same engine powers a quick command-line test, a shared internal chatbot, and a production REST endpoint.

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