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Observer
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Observer

Active·★ 1.7k·AGPL-3.0·Updated 2026-10-20
★ Trending

Observer is built around a simple "when X then Y" pattern. Each micro-agent has a system prompt, a loop interval and sensors such as $SCREEN, $SCREEN_OCR, $CAMERA, $CLIPBOARD or $MICROPHONE (transcribed with Whisper via transformers.js). A small model looks at the input every cycle and a short JavaScript snippet decides what to do with its answer.

The tool layer is where it stands out: sendEmail, sendDiscord, sendTelegram, sendPushover, SMS, WhatsApp and even automated phone calls, plus clip recording, per-agent text and image memory, and starting or stopping other agents. Some channels (calls, SMS, WhatsApp) require whitelisting by the project, and SMS is blocked for US/Canada numbers.

Models run locally through Ollama, llama.cpp, vLLM or any OpenAI-compatible endpoint; the desktop app is described as the most stable option, and there is also a hosted web app. The Docker setup is marked deprecated. License is AGPL-3.0.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-22.

License
AGPL-3.0
Latest release
v3.1.1 · 2026-10-16
Last commit
2026-10-20
Contributors
3
Forks
141
Open issues and PRs
0
First published
2025-02-05

Source: GitHub, npm and PyPI public APIs.

#agent#agent-framework#agentic-ai#agents#ai-agent#ai-agents#llama-cpp#local-llm
↗ Visit site★ GitHub
01

Features

01Sensors for screenshot, screen OCR, camera, clipboard, microphone and screen audio (Whisper transcription)
02Runs on local models via Ollama, llama.cpp, vLLM or any OpenAI-compatible endpoint
03JavaScript tool layer for Discord, Telegram, email, Pushover, SMS, WhatsApp and phone calls
04Per-agent text and image memory plus video clip recording with labels
02

Why choose it

+Turns screen, camera and audio into triggers with a few lines of prompt and JavaScript, no pipeline to build.
+Unusually broad notification set, from Discord and Telegram to SMS, WhatsApp and phone calls.
+Runs on small local models, so screen contents need not leave your machine.
03

Trade-offs

!Phone, SMS and WhatsApp tools route through the project's own service and need manual whitelisting.
!Reliability depends on how well a small local model reads screenshots, so prompts need tuning.
!AGPL-3.0 license may limit embedding it in closed-source products.
04

Maintenance check

ActiveChecked: 2026-10-20
Last commit
2026-10-20
Commits, last 90 days
100+
Releases, last 90 days
17
Latest release
v3.1.1 (2026-10-16)
Open issues
0
Recent issues with at least one comment
20/20

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

05

Compatibility

Ollama
Local models
Verified via docs
llama.cpp / vLLM
OpenAI-compatible
Verified via docs
Web app
Browser
Verified via docs
Desktop app
Desktop
Verified via docs
06

Use cases

↳Get a message when a download, render or build finishes
↳Alert when a dashboard changes or a person appears on camera
↳Focus monitoring that calls you when you get distracted
↳Transcribe and log meetings from microphone and screen audio
07

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Use cases07Alternatives
Roy3838 /
Observer
↗

Local-model micro-agents that watch your screen or camera and message you when something happens

1.7k141AGPL-3.0
Last commit3d ago
StatusActive
CategoryWorkflow Automation
Contributors3
Latest releasev3.1.1
Links
Documentation↗Discussion↗Issues↗Releases↗
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