GoGogot
Open-Source Self-Hosted AI Agent Written in Go
Quick Answer
AIGoGogot is a self-hosted AI agent for solo developers and privacy-conscious users. It integrates with Telegram for secure, private interaction and runs on a user's own server. Best for individuals automating personal tasks with local data control. Open source.
GoGogot is a self-hosted AI agent written in Go that executes complex tasks using a shell, filesystem, web tools, and a cron scheduler. It allows users to interact with it via Telegram, providing a secure and private environment for personal automation. The agent supports various LLM backends and stores all data locally.
GoGogot is a self-hosted agent with a minimal footprint (8.8K lines of Go, 8 dependencies, 10MB RAM at idle) that runs a real shell inside a Docker container, allowing full control over its environment and data.
Decision Intelligence
Best For
AIType
Starting Price
$0/mo
Free Trial
No
Credit Card
Not Required
Free Plan
Yes
Dimension Scores
· 3.3 avgHow good it is, across universal quality axes
Task Scores
· 5.9 avgWhat it can do, per category it works in · showing 8 of 10 tasks scoring 5+
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
- -No inbound ports are opened, limiting external integrations
- -Single-owner authentication model, no multi-user or team mode
- -Telegram is a third-party dependency for communication
- -Recall feature is not a vector store and has limited memory capacity
- -The LLM model itself is not self-hosted and requires an external API
- -The Docker image is ~200MB due to included userland tools (Python, Node)
Complexity
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Team Size
Skill Level
Deployment
The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
Pricing verified from the vendor pricing page.
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Trust Score
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Confidence: High
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AI-generated estimate: Best For, Description, Limitations, Quick Answer, What Makes Unique
How we source dataAI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.