HKUDS/nanobot
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
First read
Visible and active, but adoption proof is still thinner
HKUDS/nanobot has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.
Visible
46.4K public stars in the current GitStar snapshot.
Recognizable in the ecosystem
Active
Last commit Jul 30, 2026.
Fresh activity
Adopted
Treat stars as discovery context until a linked package appears.
No linked package mapping
Confidence
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 46.4K stars
- 8.2K forks
- Last commit Jul 30, 2026
- Package usage not mapped yet
Compare lens
langchain-ai/langchain and n8n-io/n8n are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Jul 30, 2026
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.
Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for HKUDS/nanobot, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
agent-frameworkai-agentai-agentschatbotchatopsdiscord-botllm-agentsllmslocal-llmmcpmodel-context-protocolmulti-agentopenai-compatibleopenclawpersonal-ai-assistantpythonself-hostedtelegram-bot-ai-assistantwebuiworkflow-automation
🐙Polyglot
🛡️ Editorial Context
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines fresh update and stable visibility.
Fresh updateStable visibility
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 46.4K
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars46.4K
🧭 Hype vs Reality
Insufficient Package DataGitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Python repos before treating stars as a moat.
Related alternative
langchain-ai/langchain
Shares the frameworks category footprint with HKUDS/nanobot, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
n8n-io/n8n
Shares the frameworks category footprint with HKUDS/nanobot, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
langgenius/dify
Shares the frameworks category footprint with HKUDS/nanobot, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
huggingface/transformers
Shares the frameworks category footprint with HKUDS/nanobot, so the comparison is closer to a same-problem decision than a same-language coincidence.
Research links
Cross-links
Compare against related repos
GitStar picked langchain + n8n as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
[](https://gitstar.space/repo/HKUDS/nanobot)HTML
<a href="https://gitstar.space/repo/HKUDS/nanobot"><img src="https://gitstar.space/api/badge/HKUDS/nanobot" alt="GitStar"></a>Styles:
Wider nearby ecosystem
Python
142.9K starslangchain-ai/langchain
The agent engineering platform.
TypeScript
198.6K starsn8n-io/n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
TypeScript
150.7K starslanggenius/dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Python
163.1K starshuggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Python
311K starsvinta/awesome-python
An opinionated list of Python frameworks, libraries, tools, and resources
Python
147.2K starsopen-webui/open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Next step after the validation read
Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
About This Page
This page provides a quick overview of HKUDS/nanobot based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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