Pack your agentic stack in Slack
Slack is preparing to integrate various agents into its chat application, as discussed by Jaime DeLanghe, the chief product officer. The conversation highlights the similarities between bots and agents, as well as the management of context in enterprise chat. Additionally, Slack is hosting its Dev Day to provide information on building agents within the platform.
- ▪Jaime DeLanghe is the chief product officer at Slack.
- ▪Slack is integrating agents into its chat application.
- ▪Today is Slack's Dev Day, featuring a livestream on agent integration.
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Record
| Original publisher | Stack Overflow Blog |
| Canonical URL | https://stackoverflow.blog/2026/05/20/pack-your-agentic-stack-in-slack/ |
| Publication time | Wed, 20 May 2026 04:45:00 GMT |
| Retrieval time | 2026-05-20T05:04:59.770Z |
| Last seen | 2026-05-20T05:04:59.770Z |
| 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 | uzq2aZeesUS- |
| 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 |
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| 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
May 20, 2026Pack your agentic stack in SlackRyan welcomes Jaime DeLanghe, chief product officer at Slack, to chat about how they’re preparing to integrate everybody’s agents in their chat application. SPONSORED BY SLACK BY SALESFORCERyan welcomes Jaime DeLanghe, chief product officer at Slack, to chat about how they’re preparing to integrate everybody’s agents in their chat application. They chat about the similarities between bots and agents, managing the wealth of context available in enterprise chat, and how the best agent-to-agent protocol might be a DM.Episode notes:Get started with building agents on Slack with their developer site.Today is Slack’s Dev Day! Tune into the livestream for info on integrating agents into Slack.Connect with Jaime on LinkedIn.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Stack Overflow Blog.
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