Продуктивность
LokalBot
Local LLM workhorse that keeps a memory of your workday.
★ 48 звёздGPL-3.0
Смотреть руководство →rowboat — проект с открытым исходным кодом из категории «Продуктивность» от rowboatlabs (rowboatlabs/rowboat на GitHub). У него 18 002 звезды на GitHub и 1 796 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 8 октября 2026.
An AI coworker with long-lived memory and multiplayer collaboration spaces
Use the desktop app alone, or run Harbor to give your team a shared Space.
Download the app for your OS from the project site or the GitHub releases page.
Bring your own model (local via Ollama/LM Studio or a hosted key) and optionally connect Google services and MCP tools.
Ask Rowboat something in a thread and watch it build durable notes as it works.
Knowledge accumulates as editable Markdown notes instead of starting cold from retrieval every session.
Shared spaces where a room sees the ask, the working indicator and the result in-thread.
Harbor exposes HTTP, WebSocket and MCP doors with no privileged path - your own agents use the same MCP access as Rowboat's.
Use local models via Ollama or LM Studio, or hosted models with your own API key.
Connect external MCP servers (the README shows a Parallel web-search example) subject to your tool permissions.
Personal data is stored locally as plain Markdown, and team deploys use your own OIDC sign-in and invites.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/rowboatlabs/rowboat.git
cd rowboatInstallers for Mac, Windows and Linux are published on the project site and GitHub releases.
# Download from the project site or the repo's latest release pageFor teams, build the Harbor image from the included Dockerfile and configure your domain and OIDC issuer.
# See the 'Run your own Harbor' section of the README for environment variablesIt is maintained by Rowboat Labs (rowboatlabs) on GitHub.
Yes - Rowboat is Apache-2.0 licensed and free to use and self-host.
No Rowboat fee: bring your own model - free local models via Ollama/LM Studio, or your own hosted API keys.
Compared with chatbots that search transcripts on demand, Rowboat maintains explicit, editable long-lived knowledge; compared with single-user assistants, its Spaces are multiplayer by design.
Download the app, connect a model, and start a thread - or run Harbor with Docker for a team Space.
Local LLM workhorse that keeps a memory of your workday.
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