AgentSwarms – self-hostable agentic AI/BI platform with sandboxed Python (ELv2)
AgentSwarms Deploy your own agentic AI & business-intelligence platform. Build agents, run multi-agent swarms, ground them in your data, and inspect every trace — on your own infrastructure, with your own keys. It is designed for easy deployment: one Supabase project as the backend, one Docker command to run, and bring-your-own-everything — your data lives in your own Supabase project, and models run against your own provider keys (OpenRouter, OpenAI, Anthropic, Gemini, Bedrock, Azure, OCI, Qwen, Grok, Groq, Ollama, vLLM…).
- ▪AgentSwarms Deploy your own agentic AI & business-intelligence platform.
- ▪Build agents, run multi-agent swarms, ground them in your data, and inspect every trace — on your own infrastructure, with your own keys.
- ▪It is designed for easy deployment: one Supabase project as the backend, one Docker command to run, and bring-your-own-everything — your data lives in your own Supabase project, and models run against your own provider keys (OpenRouter, Ope
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,831 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/AgentSwarms-fyi/agentswarms |
| Publication time | Wed, 29 Jul 2026 22:14:05 +0000 |
| Retrieval time | 2026-07-29T22:33:00.604Z |
| Last seen | 2026-07-29T22:33:00.604Z |
| 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 | Snc0Li9sDvj0 · 1 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
AgentSwarms Deploy your own agentic AI & business-intelligence platform. Build agents, run multi-agent swarms, ground them in your data, and inspect every trace — on your own infrastructure, with your own keys. Screenshots · Features · Quickstart · Documentation · Self-host vs. hosted · Contributing AgentSwarms is a complete, self-hostable, source-available agentic AI & business-intelligence platform: agent chat, a visual multi-agent swarm canvas, knowledge bases with RAG, tool use, MCP connections, connected databases & warehouses, dashboards, budgets, and full execution traces.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.