Show HN: Lemma.work – Open-source AI coworkers your whole team can share
Lemma.work is an open-source platform that provides a shared, multiplayer harness for AI agents to function as collaborative team members. It allows teams to build and deploy custom AI coworkers using existing coding agents, with state and permissions scoped to individual users. The system is designed to self-improve over time by converting user corrections and workflows into standing instructions for the agents.
- ▪Lemma functions as a multiplayer harness where state is shared and permissioned, allowing multiple people and agents to work on the same records simultaneously.
- ▪Users can build the entire system, including apps, tables, and workflows, by describing the job to coding agents like Claude Code or Codex.
- ▪The platform supports deployment on local laptops, private servers, or Lemma Cloud, and integrates with various messaging surfaces like Slack and Teams.
- ▪Access is scoped by role, ensuring that different team members and agents have specific permissions and views within the same shared environment.
2 outlets in our directory ran this story, first to last over 23 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,790 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
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 publisher | GitHub |
| Canonical URL | https://github.com/lemma-work/lemma-platform |
| Publication time | Tue, 29 Sep 2026 08:12:01 +0000 |
| Retrieval time | 2026-09-29T08:24:54.909Z |
| Last seen | 2026-09-29T08:24:54.909Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | WNA6JxTe_zkX · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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
Shared Apps and Agents. Your team, your agents, one context layer, scoped to each person. Quickstart · What shared means · Inside a pod · Surfaces · Coding agents · Examples · Docs Website → lemma.work A multiplayer, self-improving harness A harness is everything around the model: the tools it can call, the memory it reads, the state it writes, the loop it runs in, and the boundary it works inside. Coding agents gave you a harness for one person, on one machine, for the length of one session. Lemma is that harness for a team. State is shared and permissioned, so many people and many agents work the same records. It keeps running between sessions, on schedules, webhooks, and table events.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.