DeepCamera

DeepCamera is an agent framework - Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, understands, remembers & guards your home via Telegram, Discord or Slack. Pluggable AI skills. OpenAI, Google, Anthropic or local AI. Runs on Mac Mini & AI PC.

Overview

DeepCamera's open-source skills give your cameras AI — VLM scene analysis, object detection, person re-identification, all running locally with models like Qwen, DeepSeek, SmolVLM, and LLaVA. Built on proven facial recognition, RE-ID, fall detection, and CCTV/NVR surveillance monitoring, the skill catalog extends these machine learning capabilities with modern AI. All inference runs locally for maximum privacy.

Use DeepCamera's AI skills through a desktop app with LLM-powered setup, agent chat, and smart alerts — connected to your mobile via Discord / Telegram / Slack.

SharpAI Aegis is the desktop companion for DeepCamera. It uses LLM to automatically set up your environment, configure camera skills, and manage the full AI pipeline — no manual Docker or CLI required. It also adds an intelligent agent layer: persistent memory, agentic chat with your cameras, AI video generation, voice (TTS), and conversational messaging via Discord / Telegram / Slack.

DeepCamera is open-source, written primarily in JavaScript, with 2,788 GitHub stars under the MIT license. The latest release is v2026.3 (2026-03-14).

Key capabilities

From the project's documentation:

• Skill architecture — pluggable SKILL.md interface for all capabilities
• Skill Store UI — browse, install, and configure skills from Aegis
• AI/LLM-assisted skill installation — community-contributed skills installed and configured via AI agent
• Skill development — 19 skills across 10 categories, actively expanding with community contributions
• 📷 Connect cameras in seconds — add RTSP/ONVIF cameras, webcams, or iPhone cameras for a quick test
• 🤖 Built-in local LLM & VLM — llama-server included, no separate setup needed

How it fits a local-AI stack

DeepCamera runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related agent frameworks in the directory:

• Agno
• AutoGPT
• CrewAI
• Genkit

Sources

• Source code & docs: SharpAI/DeepCamera
• Official website: http://www.sharpai.org

Stats from GitHub, 2026-06-08.