holaOS vs Koshi
Local-first AI agent workspaces and memory compared
holaOS is an Electron desktop workspace for using agents alongside apps, tools, and shared local memory. Koshi is a .NET MCP server focused on project retrieval and persistent coding-agent memory; it shares project context through local storage and Git.
holaOS: Build a Local-First Workspace for AI Agents
holaOS is an Electron desktop workspace that puts agents beside apps, chat tools, files, and integrations, with shared local memory. It suits teams that want to customize how agents work across their existing systems while keeping workspace data on their machines.
Koshi: Give AI Coding Agents Local Memory and Retrieval
Koshi is a local-first MCP server for giving AI coding agents durable project memory, code retrieval, and shared team decisions. It suits teams that want context to persist across sessions and machines without relying on cloud services or API keys.
| holaOS | Koshi | |
|---|---|---|
| Language | TypeScript | C# |
| License | — | MIT |
| Stars | 11.4k | 2 |
| Forks | 728 | 0 |
| Last analyzed | Oct 10, 2026 | Oct 13, 2026 |
Key differences
- holaOS provides a desktop workspace for agents to work beside interactive apps, while Koshi provides MCP tools for code retrieval, memory, and context management.
- holaOS supports workflows across existing apps, chat tools, and integrations; Koshi focuses on project code, documentation, and team decisions.
- holaOS is written in TypeScript and uses Electron, while Koshi is written in C# and runs as an MCP server.
- holaOS stores workspace files and memory locally; Koshi stores data locally and supports sharing a project memory vault through Git.
- holaOS has 11.4k stars and is described as active, while Koshi has 2 stars and no commits in the last 90 days.
- Koshi uses the MIT license; holaOS has a modified Apache 2.0 license with additional commercial-distribution and branding conditions.
Choose holaOS if you…
- need agents to work alongside apps, chat tools, and integrations in a desktop workspace.
- want to share tools and local memory across supported agents such as Claude Code, Codex, or its built-in agent.
- want to observe and take over agent work in apps or a browser.
Choose Koshi if you…
- need MCP tools for code and documentation retrieval, durable memory, and context management.
- want to share project decisions and memory across teammates through a Git vault.
- need tools for token-budget planning and packing project context into prompts.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.