Show HN: Feynman AI research Assistant plugin for Obsidian
The Feynman AI research assistant plugin for Obsidian allows users to run research workflows locally using Docker and their own Anthropic API key. Once installed, users can interact with the plugin through a chat panel to execute various research tasks. The plugin prioritizes user privacy by storing API keys securely and requiring explicit approval for tool calls.
- ▪The plugin requires Obsidian version 1.5.0 or higher and Docker Desktop to function.
- ▪Users can execute workflows like literature reviews and deep research by typing commands in the chat panel.
- ▪API keys are stored in plaintext outside the vault, and the plugin does not encrypt this file.
Hacker News (Show HN) files mainly under programming. We currently carry 68 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Obsidian |
| Canonical URL | https://community.obsidian.md/plugins/feynman-research-agent |
| Publication time | Mon, 25 May 2026 16:30:55 +0000 |
| Retrieval time | 2026-05-25T16:37:38.283Z |
| Last seen | 2026-05-25T16:37:38.283Z |
| 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 | 3ZaX9T5ShLNt |
| 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
A research agent for your vault. Runs locally in Docker against your own Anthropic API key. Requirements Obsidian >= 1.5.0 Docker Desktop installed and running (macOS, Linux, or Windows) An Anthropic API key (sk-ant-...) Usage Once the plugin is installed, configured, and the local Docker server is running: Open the chat panel. Click the Feynman ribbon icon, or run Feynman: Open chat from the command palette. The panel shows the server's docker status and listens for slash commands. Pick a workflow. Type / in the input to browse the built-in workflows — /deepresearch, /lit (literature review), /audit, /recipe, /review, and several others. Each one opens a small form with the arguments it expects (e.g. a topic field). Run it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Obsidian.
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