Most AI agents today work alone for one person. S.Space, launched on November 2 by AutoGen creator Chi Wang, is built on a different premise: your agents should be able to meet other people’s agents, in a shared room where everyone, human or bot, sees the same context. The launch post drew hundreds of thousands of views and put “multiplayer agents” on X’s trending list.<\/p>\n\n\n\n
Chi Wang introduced the product on X with a simple pitch: “My agents have been working with other people’s agents for months. Now yours can too.” He described S.Space as “shared rooms for people and their personal agents. Built for multiplayer: Your agents, meet their agents.”<\/p>\n\n\n\n
According to S.Space, in the pre-launch period from October 1 to 28, 372 agents and 134 people posted about 125,000 messages, and 85% of agent-to-agent messages went to an agent owned by another person. Chinese tech outlet Woshipm reported that Andrew Ng is among the investors; i10x could not independently confirm the round.<\/p>\n\n\n\n
Note: the trending topic also grouped S.Space with “RAVEN AI”, a crypto token project promoting shared workspaces. i10x does not cover token projects, and this article is about S.Space only.<\/p>\n\n\n\n
Chi Wang’s AutoGen, released by Microsoft Research in 2023, was one of the first popular frameworks for multi-agent conversations, where several AI agents talk to each other to solve a task. Those agents typically belonged to one developer and ran in one program. S.Space moves the idea into a social product: agents owned by different people collaborate, each keeping its own identity and its owner’s permissions.<\/p>\n\n\n\n
According to S.Space’s documentation<\/a> and Wang’s replies on X, a room holds conversation plus shared artifacts such as pages, databases and boards. Each agent “keeps its own identity and its owner’s permissions, and picks up what it’s asked to do, so several can work side by side,” Wang wrote. By default, new members, people or agents, can read the room’s earlier conversation and pages; admins can restrict newcomers to messages from when they joined. Content can be published from one room to another, creating a copy that updates when republished.<\/p>\n\n\n\n My agents have been working with other people's agents for months. Now yours can too. Introducing s.space: shared rooms for people and their personal agents. Built for multiplayer: Your agents, meet their agents.<\/p>— Chi Wang (@Chi_Wang_) November 2, 2026 \u00b7 View on X<\/a><\/blockquote>\n\n\n\n Yes \u2014 that's the shift: from solo agents to multiplayer rooms, where people and their agents work together in one shared room, not separate chats.<\/p>— Chi Wang (@Chi_Wang_) November 3, 2026 \u00b7 View on X<\/a><\/blockquote>\n\n\n\n Early users asked about context and continuity. Wang answered that when a page is restored, “the plan should be re-checked against the current version before it goes further,” and that the idea is that “no one has to be the bridge between agents.”<\/p>\n\n\n\n We did not find a direct Grok reply about S.Space at the time of writing. As one of the personal agents S.Space says can join rooms, Grok Bot is part of the ecosystem the product targets.<\/p>\n\n\n\n The concept is strong and the founder has credibility in multi-agent systems. The pre-launch numbers are company-reported and small, so they show engagement among early adopters, not product-market fit. The main risk is security: rooms where agents from different owners read each other’s messages are an ideal surface for prompt injection, where one agent’s text tricks another into leaking data or taking actions. View-only defaults and human approval for sending help, but real-world abuse testing will decide whether shared rooms are safe for business data.<\/p>\n\n\n\n This independent, research-based i10x analysis is based on S.Space’s website and documentation, Chi Wang’s posts on X, and media reports from November 2\u20134, 2026. Usage figures are as reported by S.Space.<\/p>\n\n\n\n Personal agents are multiplying fast, and the next bottleneck is coordination between them. S.Space is an early bet that agent collaboration will look like Slack channels rather than API calls. If it works, the winners will be products that make multi-owner agent rooms as safe as they are convenient.<\/p>\n","protected":false},"excerpt":{"rendered":" Chi Wang, creator of Microsoft’s AutoGen and the AG2 project, launched S.Space, a platform where people and their personal AI agents meet in shared rooms. The launch went viral on X and points to the next phase of agents: multiplayer collaboration across different people’s bots. Here is how it works and what to watch.<\/p>\n","protected":false},"author":2,"featured_media":6893,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"paper_title":"","paper_url":"","pdf_url":"","doi":"","arxiv_id":"","authors":"","institutions":"","paper_date":"","venue":"","peer_reviewed":false,"code_url":"","data_url":"","funding_coi":"","figure_license":"","paper_license":"","replication":"","study_models":"","study_sample":"","footnotes":"","_yoast_wpseo_primary_category":"14"},"categories":[14],"tags":[],"companies":[],"products":[],"class_list":["post-6894","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agents"],"yoast_head":"\nPros and cons<\/h2>\n\n\n\n
For users<\/h3>\n\n\n\n
For developers<\/h3>\n\n\n\n
For companies<\/h3>\n\n\n\n
What X is saying<\/h2>\n\n\n\n
What Grok says<\/h2>\n\n\n\n
Critical analysis<\/h2>\n\n\n\n
What’s still open<\/h2>\n\n\n\n
\u270d\ufe0f About the analysis<\/h2>\n\n\n\n
\ud83d\udd2d i10x Perspective<\/h2>\n\n\n\n