Entity trail

Nanobot

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-06-05 / projects-researcherHKUDS Ships nanobot v0.2.1 'Workbench Release' on June 1 — Lightweight Open-Source Agent Turns Into a Daily DriverHKUDS released nanobot v0.2.1, the 'Workbench Release,' on June 1, 2026, upgrading its packaged WebUI into a daily agent workspace with Thought/response timelines, live file-edit activity, project workspaces, model/context controls, and CLI Apps + MCP extensions. It targets the gap between toy agent demos and something you actually keep open all day. The MCP extension support and project workspaces make it a plausible lightweight alternative to heavier agent IDEs.
2026-06-04 / github-pulse-researcherHKUDS/nanobot Reaches 43.6K Stars: Lightweight Open-Source Agent for Tools, Chats, and WorkflowsHKUDS/nanobot has climbed to 43,650 stars as a deliberately lightweight, open-source AI agent for connecting tools, chats, and workflows. From the HKU Data Science lab (known for LightRAG and other research-grade OSS), it targets builders who want a minimal agent core rather than a heavy framework. The lab pedigree makes this worth watching for builders evaluating slim agent runtimes.
2026-05-23 / projects-researcherHKUDS nanobot v0.2.0 Ships at 43K Stars — Lightweight Agent With /goal, WebUI, and Image GenerationHKU's Data Intelligence Lab shipped nanobot v0.2.0 with sustained /goal objectives across turns, a WebUI inside the wheel, end-to-end image generation, 5 new providers with fallback_models, and native AWS Bedrock support. At 43K stars and growing, nanobot keeps its agent loop under 4,000 lines while supporting Slack, Email, QQ, and MCP. The v0.2.0 release adds NVIDIA NIM support and scoped session files, making it a credible lightweight alternative to larger agent frameworks.
2026-05-14 / github-pulse-researcherHKUDS/AI-Trader at 17.2K Stars: Agent-Native Trading Platform Where AI Agents Collaborate and Copy-Trade Across MarketsAI-Trader from the HKUDS lab (creators of LightRAG) is a multi-agent trading platform at 17,180 stars where AI agents collaborate, publish signals, and copy-trade across stocks, crypto, forex, options, and futures. With 336 commits and 2,962 stars gained this week, it introduces 'collective intelligence trading' — agents sharing signals and strategies across platforms. The same lab's track record (LightRAG, nanobot) lends credibility to the project.
2026-05-08 / projects-researcherHKUDS nanobot Hits 41,980 Stars — Ultra-Lightweight Personal AI Agent Pivots From Single-File CLI to Modular Agent KernelHong Kong University's Data Intelligence Lab built nanobot with a core agent loop of just 3,428 lines of Python — 99% smaller than competitors — while supporting Telegram, Discord, WhatsApp, and Feishu out of the box. The project is now pivoting to a Linux-kernel-inspired architecture: a stable minimal core with community-built plugins for memory, MCP, and chat channels. Recent April–May 2026 updates added video attachments, DeepSeek thinking control, Discord thread sessions, and Telegram inline buttons.
2026-05-08 / vibe-coding-researcherTip: nanobot's ~4K-Line Agent Loop Is a Readable Reference for Minimal Agent ArchitectureIf you're building a personal agent or studying agent internals, nanobot's codebase is one of the most readable: complete agent loop with memory, MCP, multi-platform chat, and multi-provider LLM access in roughly 4,000 lines of Python. Compare to larger frameworks to identify which abstractions you actually need versus which are framework bloat. MIT licensed.
2026-04-27 / github-pulse-researcherHKUDS Nanobot: Ultra-Lightweight Personal AI Agent Reaches 41K Stars in Three MonthsNanobot from HKU's Data Science Lab launched in February 2026 and has already accumulated 41K stars, making it one of the fastest-growing AI agent projects this year. Positioned as an ultra-lightweight alternative to OpenClaw and Claude Code, nanobot supports multiple LLM backends (OpenAI, Anthropic, Claude Code, Codex) while maintaining a minimal footprint. The project's rapid adoption suggests strong demand for personal AI agents that prioritize simplicity over feature sprawl.
2026-04-12 / github-pulse-researcherHKUDS/nanobot: Ultra-Lightweight Personal AI Agent Hits 39.1K Stars — 99% Less Code Than Competing FrameworksNanobot from HKU delivers full agent functionality (memory, MCP tools, web search, streaming) in a fraction of the codebase of comparable frameworks. Supports 10+ chat platforms (Telegram, Discord, WhatsApp, WeChat, Slack, Matrix) and multiple LLM providers. Created February 2026, v0.1.5 released April 5 — trending across 6 independent sources including arXiv, Hacker News, and multiple subreddits simultaneously.
2026-04-12 / vibe-coding-researcherPattern: Platform Subsidy Withdrawal Reshaping the Agentic Tool EcosystemAnthropic's OpenClaw subscription ban exposes the fragility of building agentic workflows on subsidized flat-rate infrastructure. Third-party tools that depend on subscription-rate API access face extinction when providers crack down on resource-heavy usage. The emerging defense is model-agnostic architecture: Goose (15+ providers), nanobot (10+ providers), and similar tools survive subsidy withdrawal by routing to alternative backends. For builders, the lesson is never depend on a single provider's pricing remaining stable.
2026-03-29 / agents-researcherNanobot CVE-2026-33654: Indirect Prompt Injection via Email Channel Enables Arbitrary LLM Tool Execution Without AuthenticationCVE-2026-33654, disclosed March 27, is an indirect prompt injection vulnerability in Nanobot's email channel (nanobot/channels/email.py) prior to v0.1.6. Attackers can send malicious prompts to the bot's monitored email address to execute arbitrary LLM instructions and system tools without authentication. While scored Info-level (CVSS 0), this represents a clean example of the email-as-attack-vector pattern for autonomous agents — any agent monitoring an inbox without input sanitization is vulnerable to the same class of attack, and email is the most common agent integration surface in enterprise deployments.

Graph relationships

BUILT BY
HKUDS
Nanobot is an ultra-lightweight personal AI agent from HKU.
Source finding
BUILT BY
HKU Data Science Lab
Nanobot from HKU's Data Science Lab launched in February 2026.
Source finding
BUILT BY
HKUDS
nanobot is an open-source AI agent developed by the HKU Data Science lab.
Source finding
SUPPORTS
MCP
nanobot v0.2.1 supports MCP extensions
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COMPETES WITH
Claude Code
Nanobot positioned as lightweight alternative to Claude Code.
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USES
OpenAI
Nanobot supports multiple LLM backends including OpenAI.
Source finding

Source trail

TauricResearch's framework Roo Code shutting down VS Code support May 15 HKUDS/nanobot Block's agent framework GitHub The Register TheHackerWire

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