AgentsAutonomy & tool use
Julian Goldie demos paid 'Agent OS' that uses an Obsidian vault as Hermes Agent's memory
Julian Goldie's demo shows a paid "Agent OS" dashboard that connects Nous Research's open-source Hermes Agent to an Obsidian vault, so plain Markdown notes act as the agent's searchable, writable memory, alongside voice, phone and multi-agent features.
From the r/AISEOInsider (via last30days) article of October 26, 2026 and cited sources: The build points Hermes at an Obsidian folder of Markdown notes. [2] [6] [8]
SOURCES[2] Linked video: Hermes Obsidian Integration: How I Built My… youtube.com[6] OpenClaw Database – Hermes Obsidian profiles (2026-05-31) openclawdatabase.com[8] Hermes Atlas – Obsidian second brain hermesatlas.com
AT Pulse research deskPublished · Updated · 4 min read · AI-assisted analysisAI-assisted, not human-edited. Methodology Corrections Who owns this site
- Original source
- r/AISEOInsider (via last30days) article, independent perspective
- Brief by
- AT Pulse research desk AI-assisted; publisher and contact on the desk page
- When
- October 26, 2026 article published
- Covered
- Oct 26 edition
- Evidence
- 9 sources across 7 sites
- 1Hermes Obsidian Integration: How I Built My Own JARVISreddit.com
- 2Linked video: Hermes Obsidian Integration: How I Built My…youtube.com
- 3OpenClaw Database – Agent OS three layers (2026-08-02)openclawdatabase.com
- 4Noqta – Hermes Agent launchnoqta.tn
- 5Hermes Atlas – Memory guidehermesatlas.com
- 6OpenClaw Database – Hermes Obsidian profiles (2026-05-31)openclawdatabase.com
RisingHow it’s measured
YouTube video · 2.2K views · 18 likes
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The build points Hermes at an Obsidian folder of Markdown notes. The agent searches those notes, answers questions from them and saves new memories, journal entries, goals and generated content back into the vault. Community projects already document this vault-as-memory pattern. [2] [6] [8]
Hermes's built-in memory is small. Two Markdown files, capped at 2,200 and 1,375 characters, are loaded at the start of each session, and SQLite full-text search covers past sessions. External memory providers can be plugged in, but the official docs include no dedicated Obsidian integration. [5] [7] [8]
Agent OS is distributed only to members of a paid community. Its one-line setup, retrieval method and write-back logic are not publicly documented, and its demonstrated capabilities have only the creator's own demo as evidence. Teams can build a similar setup from open-source Hermes, an official memory provider and a vault kept under git. [2] [3] [7]
Hermes officially offers small file-based memory plus pluggable providers, and community projects already use Obsidian vaults.
Read the full assessment
Implication: teams can give agents lasting context that users own and can inspect, without depending on one model or a paid bundle.
Sources gathered; writing the dossier now.
Executive brief
The "JARVIS" in this story is not a new model or an official Obsidian feature. It is a paid community's dashboard, called "Agent OS," wrapped around Nous Research's open-source Hermes Agent. Per a third-party analysis, the build is distributed only as a zip file to paid members. The idea underneath is real and documented elsewhere: an Obsidian vault of plain Markdown notes serves as the agent's readable, editable long-term memory. No independent evaluation of this particular build exists. Every capability claim comes from the creator's own demo video.
What changed and event timeline
Hermes Agent launches
Nous Research releases Hermes Agent, an MIT-licensed, self-improving open-source agent that keeps context across sessions ().
Memory architecture explained
A community guide by Kevin Simback describes Hermes's two small Markdown memory files, its SQLite session archive and eight pluggable memory providers ().
Obsidian sync demo
Julian Goldie demonstrates syncing Hermes to a local Obsidian folder. Conversations are saved as notes and existing notes inform replies ().
"Agent OS" framed as three layers
Goldie pitches three layers: brain, mission control and an Obsidian memory vault. An analysis notes the video has no reproducible setup steps and the build is paywalled ().
Vault-native features shown
The linked post and video show vault search, a day view, a "Create" feature, the Apollo voice assistant, Omi syncing and phone calls to Hermes ().
Capabilities and access
- The video names no version or underlying model.
- Shown features:
- Memory tab: ranked search across the vault and a graph view (1:43).
Read the full section
- Engine: Hermes Agent from Nous Research. The video names no version or underlying model.
- Shown features:
- Memory tab: ranked search across the vault and a graph view (1:43).
- Create: builds content from up to five notes and saves the result back to the vault (2:14).
- Apollo voice assistant: writes and reads memories, can look at the screen and gives briefings (3:00).
- Hermes section: Kanban board, goal mode, a phone line and a multi-agent room with Claude and Codex (4:55, 5:59).
- Access: paid community only. The community's name varies between the post and the auto-captions.
Technical analysis for researchers and developers
- Native Hermes memory:
- MEMORY.md (2,200 characters) and USER.md (1,375 characters) are loaded as a frozen snapshot at the start of each session. They do not auto-compact.
- A
session_searchtool runs SQLite full-text search over past sessions.
Read the full section
- Native Hermes memory:
- MEMORY.md (2,200 characters) and USER.md (1,375 characters) are loaded as a frozen snapshot at the start of each session. They do not auto-compact.
- A
session_searchtool runs SQLite full-text search over past sessions. - Memory entries are scanned for injection and exfiltration patterns (Hermes docs).
- Obsidian support: the official docs include no dedicated Obsidian integration. Vault-as-memory comes from community projects such as AgentCairn and Hermes-Workspace (Hermes Atlas).
- Agent OS internals: the "one config line" setup (1:35), the retrieval method and the write-back logic are undocumented. The build cannot be reproduced from public material.
Claims and evidence
- "Notes become the AI's memory," with the agent writing back what it learns (1:02). This pattern is documented in community material (Hermes Atlas).
- Omi meeting memories sync into the vault (4:32). The reviewed sources do not document an Omi-to-Obsidian sync.
- Phone call schedules a 3 p.m. task via cron (5:41). This is a single demo with no independent corroboration.
Read the full section
- "Notes become the AI's memory," with the agent writing back what it learns (1:02). This pattern is documented in community material (Hermes Atlas). Whether this specific build does it is shown only in the demo.
- Omi meeting memories sync into the vault (4:32). Omi does capture conversations as searchable memories (App Store). The reviewed sources do not document an Omi-to-Obsidian sync.
- Phone call schedules a 3 p.m. task via cron (5:41). This is a single demo with no independent corroboration.
Context and prior work
- Memory providers: Hermes officially supports external memory providers including Mem0, Honcho, Hindsight and Supermemory (Hermes docs).
- Why Markdown memory appeals: it is human-readable, diffable and user-owned (Hermes Atlas). The video's "you own all of it" argument (6:56) makes the same case.
- Free alternative: the third-party analysis points readers to a free, reproducible Hermes + Obsidian + Ollama walkthrough (OpenClaw Database).
Read the full section
- Memory providers: Hermes officially supports external memory providers including Mem0, Honcho, Hindsight and Supermemory (Hermes docs).
- Why Markdown memory appeals: it is human-readable, diffable and user-owned (Hermes Atlas). The video's "you own all of it" argument (6:56) makes the same case.
- Free alternative: the third-party analysis points readers to a free, reproducible Hermes + Obsidian + Ollama walkthrough (OpenClaw Database).
Limitations, safety and contested findings
- Retrieval at scale: retrieval quality over Markdown degrades as the vault grows. The format favors legibility over recall (Hermes Atlas).
- Write access: an agent that can edit the vault needs version control (git) and regular human review.
- Privacy: always-on listening (Omi) and screen viewing (3:35) widen what can enter memory. The video does not discuss safeguards.
Read the full section
- Retrieval at scale: retrieval quality over Markdown degrades as the vault grows. The format favors legibility over recall (Hermes Atlas).
- Write access: an agent that can edit the vault needs version control (git) and regular human review. Standing instructions can drift during long sessions (Hermes Atlas).
- Privacy: always-on listening (Omi) and screen viewing (3:35) widen what can enter memory. The video does not discuss safeguards.
- Promotional framing: the video pitches membership repeatedly (2:39).
Business and practitioner implications
- Durable lesson: context engineering through plain files you own, independent of any one model.
- Teams: you can replicate the pattern with open-source Hermes, an official memory provider, and a vault under git. Use read-only access for most agents.
- Before paying: for paywalled bundles, check for documentation, version pinning and security review, because none are public here.
Read the full section
- Durable lesson: context engineering through plain files you own, independent of any one model. Goldie argues that the system around the model, more than the model itself, is what limits most agent setups (OpenClaw Database).
- Teams: you can replicate the pattern with open-source Hermes, an official memory provider, and a vault under git. Use read-only access for most agents.
- Before paying: for paywalled bundles, check for documentation, version pinning and security review, because none are public here.
The source trail.
Sources (9)
Hermes Obsidian Integration: How I Built My Own JARVIS
Feed excerpt only. A transcript of the video linked from this page is supplied (linked video auto captions; https://www.youtube.com/watch?v=cuMDmYqt6lc); automatic text may contain errors.
reddit.comLinked video: Hermes Obsidian Integration: How I Built My Own JARVIS
linked video auto captions
www.youtube.com