Nanobot just dropped a banger for everyone who wants a private AI agent without the bloat!
@openclaw is great, but Nanobot is now fully available and 98% smaller while delivering the same core functionality.
Most AI agents are heavy, complex, and hard to audit.
Nanobot just solved this by staying under small but still acting as a full-featured personal assistant.
Here is everything you need to know to build a secure, auditable agent in under 2 minutes:
Why Nanobot is a Game Changer
Massively Lightweight: 98% smaller than OpenClaw, easy to inspect the entire codebase.
Model Agnostic: Use OpenAI, Anthropic, or run 100% local models via Ollama for total privacy.
Stateful Memory: It builds a local graph of your history.
If you work on a project today, it remembers the context next week.
Instant UI: Connects directly to Telegram, WhatsApp, or Discord so you can run terminal commands from your phone.
The Power of "Small" by the Numbers
24,000+: GitHub stars and counting.
98%: Reduction in size compared to OpenClaw.
5 Mins: Total setup time from pip install to Telegram bot.
20+: Max tool iterations for complex multi-step tasks.
How to Build Your "Research Agent"
Install: Run pip install nanobot-ai to get the core engine.
Onboard: Use nanobot onboard to auto-create your workspace and "Soul" files.
Connect: Add your API keys (or local endpoint) to ~/.nanobot/config.json.
Interface: Get a token from BotFather on Telegram to control your machine via chat.
Level Up: Add the Brave Search MCP tool to give your agent real-time internet access.
The takeaway?
AI doesn't need to be a resource hog to be powerful.
Nanobot is the perfect "sandbox-first" agent for devs who value privacy and speed.
I have shared a link to the full tutorial and GitHub repo in the next post!
Nanobot Tutorial: A Lightweight OpenClaw Alternative by @DataCamp
Link: datacamp.com/tutorial/nanobo…
GitHub: github.com/HKUDS/nanobot
GPT-5 gave me wild KPIs.
I asked if it made them up.
It said:
“Good catch, I couldn’t open your CSV.”
AI’s gone from confident liar to polite confessor
This might be controversial, but…
AI-generated code could kill your startup.
Everyone’s obsessed with how fast AI can ship features.
But the faster you move, the less you actually understand your own product.
@ArvidKahl breaks it all in the current podcast:
Most people don’t know this secret about exits…
Buyers don’t just buy your code, they buy your comprehension of it.
If you can’t prove you (or anyone) actually understand the system, every future acquirer will mark you down.
Fast code isn’t an asset if no one can safely touch it.
The smartest founders in 2025 will sell clarity, not speed.
I hope you've found this post insightful.
Follow me @_mwitiderrick for more AI posts.
Like/Retweet the first tweet below to share with your friends:
This might be controversial, but…
AI-generated code could kill your startup.
Everyone’s obsessed with how fast AI can ship features.
But the faster you move, the less you actually understand your own product.
@ArvidKahl breaks it all in the current podcast:
Apps SDK, ChatGPT just became an app platform.
Developers can now build apps inside ChatGPT (think Canva, Coursera, or your own mini-tools).
App store coming soon.
But there’s one challenge → discovery.
Competing with big partners for visibility won’t be easy.
🚨 Sora 2 is here, the GPT-3.5 moment for video.
• Physics-aware (missed shots bounce)
• Multi-shot control + persistent world
• Native audio: dialogue + SFX
Olympic routines, paddleboard backflips, triple axels, inside a prompt.
I hope you've found this post insightful.
Follow me @_mwitiderrick for more thought-provoking posts.
Like/Retweet the first tweet below to share with your friends:
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