Show HN: Lilo – An open source personal AI assistant that lives in Telegram
Lilo is an open source personal AI assistant designed for use within Telegram. It features a model-agnostic framework with memory and various tools, allowing users to manage tasks and receive updates efficiently. The assistant can also be accessed through multiple platforms, including email and WhatsApp, enhancing its usability.
- ▪Lilo operates in a persistent workspace and supports scheduled tasks.
- ▪Users can interact with Lilo through various channels, including Telegram, email, and a mobile app.
- ▪The assistant offers features like calorie tracking, meeting reminders, and article summaries.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=48237730 |
| Publication time | Fri, 22 May 2026 16:03:25 +0000 |
| Retrieval time | 2026-05-22T16:12:02.420Z |
| Last seen | 2026-05-22T16:12:02.420Z |
| 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 | ikdz9_3SfoSd |
| 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
Hi everyone,I wanted to share an open source Telegram-based personal AI assistant I built. It’s a model-agnostic agent with memory, skills, tools (like web search, browser user, etc.) operating in a persistent workspace. It also has support for scheduled tasks, and can build powerful HTML-based apps that live in the workspace.Here are some of my favorite use cases:* Send Lilo photos of food, and it tracks your calories.* Leave a voice note on your run to pause your supplements, and Lilo adds a TODO.* Have Lilo remind you when the Knicks game starts and even send you score updates every 5 minutes.* Have Lilo read an article out loud.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.