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herdrdev
herdr
Rust2026–2026
herdrdev / herdr

herdr

the runtime your coding agents live on

12Distinct people
12Mentions
0Explicit recommenders
50.7KGitHub stars
REPOSITORY AT A GLANCE

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What it is

the runtime your coding agents live on

GitHub

Where it is used

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What people are saying

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 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 week12 dated mentions

Observed mentions: 2026-05-23 12:53:01 UTC to 2026-10-30 17:02:10 UTC. Weeks start Monday, UTC.

0122026-05-18 00:00:00 UTC to 2026-05-25 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 182026-05-25 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-06-08 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-06-08 00:00:00 UTC to 2026-06-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-15 00:00:00 UTC to 2026-06-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-22 00:00:00 UTC to 2026-06-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-29 00:00:00 UTC to 2026-07-06 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2026-07-06 00:00:00 UTC to 2026-07-13 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-07-13 00:00:00 UTC to 2026-07-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-20 00:00:00 UTC to 2026-07-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-27 00:00:00 UTC to 2026-08-03 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-08-03 00:00:00 UTC to 2026-08-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsAug 32026-08-10 00:00:00 UTC to 2026-08-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-17 00:00:00 UTC to 2026-08-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-24 00:00:00 UTC to 2026-08-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-31 00:00:00 UTC to 2026-09-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-07 00:00:00 UTC to 2026-09-14 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-09-14 00:00:00 UTC to 2026-09-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-21 00:00:00 UTC to 2026-09-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-28 00:00:00 UTC to 2026-10-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-10-05 00:00:00 UTC to 2026-10-12 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-10-12 00:00:00 UTC to 2026-10-19 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-10-19 00:00:00 UTC to 2026-10-26 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-10-26 00:00:00 UTC to 2026-11-02 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsOct 26

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
May 182026-05-18 00:00:00 UTC2026-05-25 00:00:00 UTC110
May 252026-05-25 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 12026-06-01 00:00:00 UTC2026-06-08 00:00:00 UTC101
Jun 82026-06-08 00:00:00 UTC2026-06-15 00:00:00 UTC000
Jun 152026-06-15 00:00:00 UTC2026-06-22 00:00:00 UTC000
Jun 222026-06-22 00:00:00 UTC2026-06-29 00:00:00 UTC000
Jun 292026-06-29 00:00:00 UTC2026-07-06 00:00:00 UTC211
Jul 62026-07-06 00:00:00 UTC2026-07-13 00:00:00 UTC101
Jul 132026-07-13 00:00:00 UTC2026-07-20 00:00:00 UTC000
Jul 202026-07-20 00:00:00 UTC2026-07-27 00:00:00 UTC000
Jul 272026-07-27 00:00:00 UTC2026-08-03 00:00:00 UTC101
Aug 32026-08-03 00:00:00 UTC2026-08-10 00:00:00 UTC000
Aug 102026-08-10 00:00:00 UTC2026-08-17 00:00:00 UTC000
Aug 172026-08-17 00:00:00 UTC2026-08-24 00:00:00 UTC000
Aug 242026-08-24 00:00:00 UTC2026-08-31 00:00:00 UTC000
Aug 312026-08-31 00:00:00 UTC2026-09-07 00:00:00 UTC000
Sep 72026-09-07 00:00:00 UTC2026-09-14 00:00:00 UTC110
Sep 142026-09-14 00:00:00 UTC2026-09-21 00:00:00 UTC000
Sep 212026-09-21 00:00:00 UTC2026-09-28 00:00:00 UTC000
Sep 282026-09-28 00:00:00 UTC2026-10-05 00:00:00 UTC000
Oct 52026-10-05 00:00:00 UTC2026-10-12 00:00:00 UTC110
Oct 122026-10-12 00:00:00 UTC2026-10-19 00:00:00 UTC110
Oct 192026-10-19 00:00:00 UTC2026-10-26 00:00:00 UTC101
Oct 262026-10-26 00:00:00 UTC2026-11-02 00:00:00 UTC202

What Hacker News says

12 sources
suoloordi·Oct 18, 2026Submission

Show HN: Pi-cowboy – use Codex, Claude Code, OpenCode as subagents

pi-cowboy is an agent orchestrator for Pi(https://pi.dev) and Herdr(https://github.com/herdrdev/herdr). Break large jobs into focused subtasks, hand them off to background agents running in parallel, and consolidate the results when they finish. Each agent runs in an isolated copy-on-write Git work-tree, minimising disk overhead. pi-cowboy can orchestrate foreign harnesses too, including Claude Code, Codex, OpenCode and more. Feature highlights: - Foreign harnesses: pi-cowboy agents can run in Claude Code, Codex, OpenCode, Pig and Pi-Bolt, as well as Pi. This gives you great flexibility in choosing how to spend your tokens. Running out of Codex usage? Switch your pi-cowboy harness to OpenCode, select one of its free models, and let it handle the rest. Pig and Pi-Bolt are pi variants that are more efficient, with a lower memory footpr
Read the rest
int and faster performance than pi. Because pi-cowboy is designed to run multiple agents in parallel, having a lower per-agent footprint is crucial. It prevents your machine from running out of resources and lets you have higher concurrency without choking your system. - Concurrency limits: You can configure concurrency limits at every level. Running a local model with limited resources? If a simple task already takes hours to complete, the last thing you want is to overload your machine by running too many of them at once. Set concurrency limits for that model specifically to keep resource usage under control. You can install it on Pi as a package: pi install npm:pi-cowboy #(requires `herdr` 0.8+)
7 points · Open discussion
I've been working on my own private harness for the past 8 months, and I've been collecting ideas from such repos I've stumbled upon. pi-tmux is one such example (seems to be archived now) which inspired me to use tmux as communication layer and provide visibility of subagents of multiple models in their native harnesses [1]. There's also herdr, which is not 0-stars, but is super interesting but lesser known project [2]. This also has interesting substrates to allow agent coordination. None of these are harnesses per se, but they're pointing towards clear gaps in existing harnesses. For example, we've known for a while now that compounding knowledge of different class of models achieves better performance. Why is there no harness where this is a native functionality? And there's no harness where subagents are first class citizens both in
Read the rest
In ZCode – Harness for GLM-5.2
I'm currently using herde[1] to handle/supervise multiple agents (with some patches I need to try to upstream) along with Nono[2] for sandboxing. This sandboxing approach avoids use of a microVM, which lets me use tooling I already have installed inside the sandbox. The downside is getting all the policies correct as it seems every project needs some new type of access, though Nono does try to make policy writing easy. I've been considering switching my approach to using a microVM through microsandbox[3]. The pro of this approach is you can essentially skip the policies and rely on the security of the VM boundary. The negative is that now you've lost all your installed tools, so you need to either provision at runtime or build something (like an image) beforehand to match your dev environment. I still don't know which is less maintenance.
Read the rest
And while I think herde is pretty well thought out, I do think about something that works outside the terminal may be nicer. [1] https://github.com/ogulcancelik/herdr [2] https://github.com/always-further/nono [3] https://github.com/superradcompany/microsandbox
In Ask HN: What is your (AI) dev tech stack / workflow?

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