nanobot
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
- Automate repetitive tasks across multiple applications using custom workflows and agents
- Build a personal AI assistant that remembers context and learns from your work patterns
- Connect third-party tools and services together without expensive enterprise platforms
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.
https://github.com/HKUDS/nanobot
By HKUDS
How to Get It
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.
After installing, paste this into Claude:
Help me automate repetitive tasks across multiple applications using custom workflows and agents
Trust Signals Auto-scanned
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
Scored from trust signals (evidence-eval-v1): 46,546 GitHub stars; contributors unknown; last commit 0d ago; license MIT.