obsidian-second-brain

Persistent memory for Claude Code and 6 other CLI agents, stored as plain markdown in your Obsidian vault. Stop re-explaining your projects, decisions and people every session. 45 commands: hybrid semantic search, self-rewriting notes, key-less web research, and scheduled agents that maintain the vault while you sleep.

Runssource: GitHubhomepagePythonMITcommit fa3190e2493f

Python, MIT licensed. The project labels itself: agent skills, ai agents, ai note taking, ai second brain, anthropic, claude, claude code and claude code skill.

obsidian-second-brain runs. An Argusic agent installed it in 30 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.

Dependencies installed and project builds via uv, all 994 tests pass, installer links 47 slash commands and SessionStart hook, vault bootstrapper generates a working vault with health check reporting 0 issues, and the multi-platform build system emits 8 target trees.

What the agent ended up with on a clean machine, in its own words. How this is measured

Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs
Argusic Score
100 / 100
cost of the verifying run
$0.05 (measured)
recorded runs
1
last tested
stars
4,646
forks
577
open issues
4
watchers
28
size
23 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

What was measured

From the run that decided this verdict. Every line is a recorded value, not an estimate.

Install time
30 minutes
Cold machine to finish
10 minutes
Errors hit and fixed
0 hit, 0 fixed with no human help
How the result was proved
uv run pytest exited 0, 994 passed; bash scripts/build.sh built all 8 platforms; uv run python scripts/vault_health.py --path /tmp/test-vault --json reported 3 notes, 0 issues; bash install.sh linked all 47 commands; uv run python scripts/conformance_report.py returned 'all green'
Model tokens used
44,555
Exact commit tested
fa3190e2493f
Container image
sha256:cdd920bce783

What was not measured

The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.

Peak GPU memory
this ran on a CPU machine, so there was no GPU to sample
Behaviour over a long run
each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load

The end of the recording

The last lines of the terminal session that decided this verdict, exactly as they were recorded.

| Claude Code | pass | pass | pass | pass |
| Argusic Agent CLI | pass | pass | pass | pass |
| Gemini CLI | pass | pass | pass | pass |
| Grok Bot | pass | pass | pass | pass |
| Hermes | pass | pass | pass | pass |
| OpenCode | pass | pass | pass | pass |
| Pi | pass | pass | pass | pass |
all green
All tasks completed. Here's the final report:
tokens used
44,555
All tasks completed. Here's the final report:

Replay the whole session, every command from a clean machine to this point.

How it was tested

One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.

Strengths and limits

Measured facts, not opinions. How this is written.

What went well

  • Reached a running state on a clean machine, with the session recorded.
  • Nothing broke on the way: zero errors between clone and running.
  • Ran without a GPU, so it does not need one to start.
  • Licensed MIT, as reported by its host.

What did not, or is not known

  • Took 30 minutes to install, slower than the median of the 18 comparable projects Argusic has measured.
  • Measured once so far. A single attempt shows it can run, not that it runs reliably.

Of the 19 agent-skills projects Argusic has installed and timed, obsidian-second-brain was the 17th fastest to reach a running state, and 14 of 19 reached one at all.

What it is a reasonable choice for

  • Trying it on a laptop or a small server: it reached a running state without a GPU.
  • Following its own README: the documented path worked with nothing to fix.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

tested byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs100.000.05

Topics (from GitHub)

agent-skillsai-agentsai-note-takingai-second-brainanthropicclaudeclaude-codeclaude-code-skillclaude-memoryclaude-pluginclaude-skillkarpathy-llm-wikiknowledge-graphknowledge-managementnote-takingobsidianobsidian-mdpersonal-knowledge-managementpkmsecond-brain

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/obsidian-second-brain.svg)](https://argusic.com/subject/obsidian-second-brain)

Questions

Does obsidian-second-brain run?
Yes. obsidian-second-brain runs. Argusic installed and launched it on a clean machine in 30 minutes, hitting 0 errors on the way, and recorded the session.
How did Argusic test obsidian-second-brain?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit fa3190e2493f. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test obsidian-second-brain?
The run that produced this verdict cost $0.05: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does obsidian-second-brain take to install?
30 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
Does obsidian-second-brain need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing obsidian-second-brain?
Nothing did, in the recorded run: zero errors between clone and running.
How does obsidian-second-brain compare with the alternatives?
Of the 19 agent-skills projects Argusic has installed and timed, obsidian-second-brain was the 17th fastest to reach a running state, and 14 of 19 reached one at all.
Where is the evidence for obsidian-second-brain?
The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion