WIWithinReason·Jul 2, 2026
xcancel supports articles now:
https://xcancel.com/i/article/2072432348805669139
Here is the result:
https://github.com/nanocoai/nanoclaw/pull/2742
In Fable open sourced NanoClaw's agent factory. It cost $800nanocoai
nanoclaw
TypeScript2026–2026
nanocoai / nanoclaw
nanoclaw
A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK
Security & PrivacyAI & Machine LearningSystems & InfrastructureCommunication & SocialLibraries & SDKs
16Distinct people
18Mentions
0Explicit recommenders
31.1KGitHub stars
What to know before exploring
What it is
A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week18 dated mentions
Observed mentions: 2026-02-01 22:49:22 UTC to 2026-07-02 07:34:16 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Jan 26 | 2026-01-26 00:00:00 UTC | 2026-02-02 00:00:00 UTC | 3 | 1 | 2 |
| Feb 2 | 2026-02-02 00:00:00 UTC | 2026-02-09 00:00:00 UTC | 3 | 0 | 3 |
| Feb 9 | 2026-02-09 00:00:00 UTC | 2026-02-16 00:00:00 UTC | 3 | 0 | 3 |
| Feb 16 | 2026-02-16 00:00:00 UTC | 2026-02-23 00:00:00 UTC | 2 | 0 | 2 |
| Feb 23 | 2026-02-23 00:00:00 UTC | 2026-03-02 00:00:00 UTC | 3 | 2 | 1 |
| Mar 2 | 2026-03-02 00:00:00 UTC | 2026-03-09 00:00:00 UTC | 2 | 0 | 2 |
| Mar 9 | 2026-03-09 00:00:00 UTC | 2026-03-16 00:00:00 UTC | 0 | 0 | 0 |
| Mar 16 | 2026-03-16 00:00:00 UTC | 2026-03-23 00:00:00 UTC | 1 | 1 | 0 |
| Mar 23 | 2026-03-23 00:00:00 UTC | 2026-03-30 00:00:00 UTC | 0 | 0 | 0 |
| Mar 30 | 2026-03-30 00:00:00 UTC | 2026-04-06 00:00:00 UTC | 0 | 0 | 0 |
| Apr 6 | 2026-04-06 00:00:00 UTC | 2026-04-13 00:00:00 UTC | 0 | 0 | 0 |
| Apr 13 | 2026-04-13 00:00:00 UTC | 2026-04-20 00:00:00 UTC | 0 | 0 | 0 |
| Apr 20 | 2026-04-20 00:00:00 UTC | 2026-04-27 00:00:00 UTC | 0 | 0 | 0 |
| Apr 27 | 2026-04-27 00:00:00 UTC | 2026-05-04 00:00:00 UTC | 0 | 0 | 0 |
| May 4 | 2026-05-04 00:00:00 UTC | 2026-05-11 00:00:00 UTC | 0 | 0 | 0 |
| May 11 | 2026-05-11 00:00:00 UTC | 2026-05-18 00:00:00 UTC | 0 | 0 | 0 |
| May 18 | 2026-05-18 00:00:00 UTC | 2026-05-25 00:00:00 UTC | 0 | 0 | 0 |
| May 25 | 2026-05-25 00:00:00 UTC | 2026-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 1 | 2026-06-01 00:00:00 UTC | 2026-06-08 00:00:00 UTC | 0 | 0 | 0 |
| Jun 8 | 2026-06-08 00:00:00 UTC | 2026-06-15 00:00:00 UTC | 0 | 0 | 0 |
| Jun 15 | 2026-06-15 00:00:00 UTC | 2026-06-22 00:00:00 UTC | 0 | 0 | 0 |
| Jun 22 | 2026-06-22 00:00:00 UTC | 2026-06-29 00:00:00 UTC | 0 | 0 | 0 |
| Jun 29 | 2026-06-29 00:00:00 UTC | 2026-07-06 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
18 sourcesAsk HN: AI Agents vs. Gateways vs. Harnesses
Hi,
I'd like to get everyone's take on the different components in the AI Agents ecoysystem. I find the current terminology quite confusing as it's not always obvious what I'll be actually getting when I examine the available options.
A lot of things get called Agents, but that term seems hard to define as it often refers to overlapping functionality. To me, agents seem to be currently composed of the following components:
## Harnesses
- Adds UI and system instructions around an LLM and may also augment it with tools such as memory, tool calls, etc...
- Examples are Claude Code, Code, Gemini CLI, pi.dev, ...
## Gateways
- These connect agents to your communication tool of choice, e.g. Whatsapp, Telegram, Slack, Discord, ...
- Examples are OpenClaw and Nanoclaw
## Sandboxes
- Isolated environments where Agents can run with limited or audit
Read the rest
able capabilities
- Examples can be from physical ones like separate Mac Minis to docker-agent, agent-sandbox, localsandbox, ...
This then takes us to *Agents*:
## Agents
- AI Systems capable of exercising some agency, i.e. non-zero amounts of autonomous behaviour without a human-in-the-loop.
- These usually combine the following components:
- **LLM**: to provide the intelligence/reasoning/decision making
- **Harness**: to steer the behaviour and enable long-term coherence of actions beyond the limits of current context windows
- **Gateway**: to interact with humans and/or other agents
- **Sandbox**: that aims to limit the capabilities of the Agent to a sanctioned set of safe operations for the agent to execute autonomously.
My issue is that when I look at the available options, it's generally not clear to me which components I am getting:
- https://github.com/openclaw/openclaw: Typescript, The OG, one-stop solution, easiest to install but apparently a bit of a Frankenmonster and complex
- https://github.com/qwibitai/nanoclaw: Typescript, gaining popularity, minimalist, implementation seems reliant on Claude Code to handle install and configuration
- https://github.com/sipeed/picoclaw: Golang
- https://github.com/zeroclaw-labs/zeroclaw: Rust
- https://github.com/nullclaw/nullclaw: Zig
- https://nemoclaw.bot/: By Nvidia, claims to be open source "based", but I couldn't find a repo
What I would really like is to be able to assemble my own stack of Sandbox + Gateway + Harness + LLM. Thoughts/recommendations?
> 2. github.com/qwibitai/nanoclaw which looks like a ripoff?
That is literally the GitHub repo the original article shows as being "real".
In I'm losing the SEO battle for my own open source projectI hadn't really noticed anything like this until you pointed it out. My main use for Kagi is to pin Wikipedia results... I just tried searching for "nanoclaw" on Kagi (I'm in the UK so results biased towards there) and got:
1. nanoclaw[dot]net (!)
2. github.com/qwibitai/nanoclaw which looks like a ripoff?
3. Three videos, at least one of which looks like slop with crypto ads
4. github.com/gavrielc/nanoclaw which I presume is the real repo judging from the name?
5. Three "interesting finds" the top one of which is nanoclaw.dev, but with the title "Don't trust AI agents" because it's a blog post from that site
6. A fork of the qwibitai/nanoclaw repo
In I'm losing the SEO battle for my own open source projectDon’t know about other claws, with NanoClaw the agent can only rewrite code that runs inside the container.
You can see here that it’s only given write access to specific directories:
https://github.com/qwibitai/nanoclaw/blob/8f91d3be576b830081...
In Don't trust AI agentsShow HN: Badge that shows how well your codebase fits in an LLM's context window
Small codebases were always a good thing. With coding agents, there's now a huge advantage to having a codebase small enough that an agent can hold the full thing in context.
Repo Tokens is a GitHub Action that counts your codebase's size in tokens (using tiktoken) and updates a badge in your README. The badge color reflects what percentage of an LLM's context window the codebase fills: green for under 30%, yellow for 50-70%, red for 70%+. Context window size is configurable and defaults to 200k (size of Claude models).
It's a composite action. Installs tiktoken, runs ~60 lines of inline Python, takes about 10 seconds. The action updates the README but doesn't commit, so your workflow controls the git strategy.
The idea is to make token size a visible metric, like bundle size badges for JS libraries. Hopefully a small nudge to keep codeba
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ses lean and agent-friendly.
GitHub: https://github.com/qwibitai/nanoclaw/tree/main/repo-tokens
Show HN: Signal Support for NanoClaw
NanoClaw now supports Signal via signal-cli's JSON-RPC interface. Can run alongside WhatsApp or replace it entirely.
Signal's E2E encryption pairs well with NanoClaw's container isolation. Voice transcription runs locally too, so nothing leaves the machine unless intended.
What's supported:
Typing indicators, reactions, quoted replies, polls
Signal text styling (bold, italic, strikethrough, spoiler, monospace) with UTF-16 offset handling
Image/audio/file attachments (send and receive)
Voice message transcription (local, via Whisper)
Group metadata (members, admins, description)
All existing NanoClaw features (scheduled tasks, per-group isolation, etc.)
How it works: signal-cli runs in JSON-RPC mode. Newline-delimited JSON from stdout gets parsed, messages route to the right group queue, a container spawns, and responses go ba
Read the rest
ck via stdin RPC calls. The Signal channel is ~800 lines.
Setup: run /add-signal in Claude Code, or set SIGNAL_ONLY=true to drop WhatsApp. Needs Java 21+ and signal-cli, no npm dependencies.
Upstream skill PR: https://github.com/qwibitai/nanoclaw/pull/490
Gavriel (creator of NanoClaw) here. This is the correct answer. It's more dogfooding than testing though.
This is describing the structure of an Obsidian vault that is mounted in the container as an additional directory that claude has access to. Me and my co-founder chat with NanoClaw in WhatsApp and get daily briefings on sales pipeline status, get reminders on tasks, give it updates after calls, etc.
You can see that I described the same vault structure on twitter a few days before starting to build NanoClaw: https://x.com/Gavriel_Cohen/status/2016572489850065016?s=20
I accidentally committed this - if you look at the .gitignore (https://github.com/qwibitai/nanoclaw/blob/main/.gitignore) you can see that this specific file is included although the folder it's in is excluded. There's some weirdness here because the CLAUDE.md is a core p
Read the rest
art of the project code that gives claude general context about the memory system, but is then also updated per user.
Interesting tidbit is that adding instructions for this specific thing (additional directory claude is give access to) is no longer necessary because claude now automatically loads the CLAUDE.md from the added directory.
As @hitsmaxft found in the original NanoClaw HN post...
https://github.com/qwibitai/nanoclaw/commit/22eb5258057b49a0... Is this inserting an advertisement into the agent prompt?
In Running NanoClaw in a Docker Shell SandboxSee also: https://github.com/qwibitai/nanoclaw
I run this instead of openclaw, mostly because Claude Code itself is sufficient as a harness.
In I ditched OpenClaw and built a more secure AI agent (Blink and Mac Mini)if you're looking for the repo:
https://github.com/qwibitai/nanoclaw
not 500 lines but looks more reasonable then openclaw
In NanoClaw solves one of OpenClaw's biggest security issuesPossible sponsored content being injected by Claude into the NanoClaw repo?
https://github.com/gavrielc/nanoclaw/commit/22eb5258057b49a0...
In NanoClaw now supports Claude's Agent Swarms in containersFor the curious
https://github.com/gavrielc/nanoclaw
In Nanobot: Ultra-Lightweight Alternative to OpenClawhttps://github.com/gavrielc/nanoclaw/commit/22eb5258057b49a0... Is this inserting an advertisement into the agent prompt?
In Show HN: NanoClaw – “Clawdbot” in 500 lines of TS with Apple container isolationFound the spec here: https://github.com/gavrielc/nanoclaw/blob/main/docs/SPEC.md
The scheduled tasks seem like the major functional difference. Pretty cool.
Has anyone tried Anthropic’s “Cowork”? How does that compare?
In Show HN: NanoClaw – “Clawdbot” in 500 lines of TS with Apple container isolationShowing the 15 most recent of 18 sources. Enable JavaScript to search and browse every indexed mention.