siddsachar/row-bot
Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messaging channels. Run locally via Ollama or add opt-in cloud models. Your data stays on your machine. observed · 2026-08-28
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 98
- Longevity 12
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 3
- age_days: 180
- days_rel: 12
- days_push: 9
- n_releases_24m: 36
Adoption not part of the score
1455 stars · 170 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Row-Bot is a local-first desktop AI assistant and workbench that combines chat, durable memory, a personal knowledge graph, tool use, parent-led agent orchestration, voice, vision, shell access, browser automation, scheduled workflows, and messaging channels. It runs models locally via Ollama (with opt-in cloud providers) so conversations, documents, and knowledge stay on the user's machine or private server.
Use cases
- run a private AI assistant entirely on my own machine
- chat with local LLMs through Ollama without sending data to the cloud
- automate scheduled background tasks with an AI agent
- build a personal knowledge graph from my documents
- delegate multi-step research and coding work to orchestrated child agents
- control my computer and browser with an AI assistant
- talk to my assistant over voice and messaging channels
- self-host an AI workbench on my own server with Docker
When to choose
- you want a privacy-focused, local-first AI assistant where data never leaves your machine
- you need an all-in-one workbench combining chat, agents, memory, tools, voice, and workflows
- you want parent-led agent orchestration with approvals, checkpoints, and bounded budgets
- you prefer running models locally via Ollama with optional cloud providers
- you want a self-hostable Docker deployment for a private server
When to avoid
- you need a lightweight CLI or library to embed in your own code rather than a full desktop application
- you need multi-user tenant isolation - the Docker mode is single-owner only
- you want a hosted managed service with no local installation
- you need guaranteed scalability or enterprise support
Facets
application · maturity active
agent-framework chatbot llm-inference rag workflow-automation scheduling web-scraping speech-recognition computer-vision mcp chat-interface artificial-intelligence large-language-models chatbots privacy self-hosted developer-tools windows self-hosted python local-first local-llm ollama sovereign-ai react-agent langchain knowledge-graph voice-assistant agent-orchestration desktop-app ai-agents automation macos linux docker desktop
6 sources
- readme: https://github.com/siddsachar/row-bot · fetched 2026-08-28 · 8e3e09150803
- homepage: https://row-bot.ai · fetched 2026-08-29 · be1b7ed67a44
- site_page: https://row-bot.ai/features.html · fetched 2026-08-29 · 153133b00437
- site_page: https://row-bot.ai/docs · fetched 2026-08-29 · e12c9980e98c
- site_page: https://row-bot.ai/docs/getting-started/installation · fetched 2026-08-29 · 8f5275ef7fdd
- site_page: https://row-bot.ai/docs/operations/docker · fetched 2026-08-29 · 982e2a5d0224
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| siddsachar/row-bot | main | 81 |
For agents
markdown · JSON · MCP: product_card(name="siddsachar/row-bot")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem