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nanobot

Skill Productivity Solid
Works inClaude Code
Solid Scanned — metadata only

Reduces infrastructure costs and vendor lock-in by enabling self-hosted AI agents with full control over data, while supporting multi-agent workflows and aut…

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

46,546 starsMIT (commercial OK)FreeQuick setup

Reduces infrastructure costs and vendor lock-in by enabling self-hosted AI agents with full control over data, while supporting multi-agent workflows and automation without heavy dependencies.

Engineering teams building internal automation systems and consultants deploying AI solutions requiring data sovereignty.

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https://github.com/HKUDS/nanobot

By HKUDS

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install HKUDS/nanobot

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me automate repetitive tasks across multiple applications using custom workflows and agents
CostFree

Trust Signals Auto-scanned

Stars46,546Last updated2026-08-03LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-03 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 46,546 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 46,546 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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