WeSearch

Stoic AgentOS – Open-source operating system for AI agent fleets

·4 min read · 0 reactions · 0 comments · 36 views
Stoic AgentOS – Open-source operating system for AI agent fleets
TL;DR · WeSearch summary

Stoic AgentOS is an open-source operating system designed to manage AI agent fleets, offering real-time monitoring, persistent knowledge sharing, and usage-based billing. It enables developers to orchestrate multiple AI agents through a centralized dashboard with minimal setup. The platform supports features like auto-capture of agent activity, API key management, and secure multi-workspace environments.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 3,266 of its stories.

Original article
GitHub
Read full at GitHub →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherGitHub
Canonical URLhttps://github.com/benjaminkernbaum-ux/stoic-agentos
Publication timeSat, 16 May 2026 19:51:42 +0000
Retrieval time2026-05-16T19:55:18.999Z
Last seen2026-05-16T19:55:18.999Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusterf8CDZb2tBzsv
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

⚡ Stoic AgentOS The Operating System for AI Agent Fleets Monitor, orchestrate, and persist knowledge across your AI agents — from a single dashboard. Dashboard · Docs · Get Started Free · npm · Quick Start ⭐ If this helps you ship AI agents faster, give us a star — it helps a lot! The Problem You're running AI agents in production — coding assistants, data pipelines, customer support bots, trading bots, content generators. Each one makes autonomous decisions, but: No visibility → Agent fails at 3 AM, you find out Monday No memory → Same agent rediscovers the same bug every session No coordination → 5 agents, 5 silos, zero shared knowledge The Solution AgentOS gives your AI fleet a command center — real-time monitoring, persistent knowledge that survives across sessions, and usage-based…

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from GitHub