GBrain is a memory and retrieval layer for AI agents that searches, connects, and synthesizes information from stored sources. It is used to give coding agents and autonomous agents access to knowledge beyond their current code, including shared company information with access controls. The catalogue add-ons help agents operate GBrain and connect it to agent workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add garrytan/gbrain --skill migrategit clone --depth 1 https://github.com/garrytan/gbrainWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/garrytan/gbrain/migrate)<a href="https://agentmods.dev/skills/garrytan/gbrain/migrate"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/migrate.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.01225 |
| Opus 5 | $0.00012 | $0.00613 |
| Sonnet 5 | $0.00005 | $0.00245 |
| Haiku 4.5 | $0.00002 | $0.00122 |
Grade A, and why
migrate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Migrate Skill
Universal migration from any wiki, note tool, or brain system into GBrain.
Contract
- Source data is never modified or deleted; migration is additive only.
- Every migrated page is verified round-trip: written to gbrain, read back, spot-checked.
- Cross-references from the source system (wikilinks, block refs, tags) are converted to gbrain equivalents.
- Migration is tested on a sample (5-10 files) before bulk execution.
- Post-migration health check confirms page count, link integrity, and embedding coverage.
Supported Sources
| Source | Format | Strategy |
|---|---|---|
| Obsidian | Markdown + [[wikilinks]] |
Direct import, convert wikilinks to gbrain links |
| Notion | Exported markdown or CSV | Parse Notion's export structure |
| Logseq | Markdown with ((block refs)) |
Convert block refs to page links |
| Plain markdown | Any .md directory | Import directory into gbrain directly |
| CSV | Tabular data | Map columns to frontmatter fields |
| JSON | Structured data | Map keys to page fields |
| Roam | JSON export | Convert block structure to pages |
Phases
- Assess the source. What format? How many files? What structure?
- Plan the mapping. How do source fields map to gbrain fields (type, title, tags, compiled_truth, timeline)?
- Test with a sample. Import 5-10 files, verify by reading them back from gbrain and exporting.
- Bulk import. Import the full directory into gbrain.
- Verify. Check gbrain health and statistics, spot-check pages.
- Build links. Extract cross-references from content and create typed links in gbrain.
Obsidian Migration
-
Import the vault directory into gbrain (Obsidian vaults are markdown directories)
-
Wire the graph with native wikilink support (v0.12.1+):
gbrain extract links --source db --dry-run | head -20 # preview gbrain extract links --source db # commitextract linksnatively parses[[relative/path]]and[[relative/path|Display Text]]alongside standard[text](page.md)markdown syntax. Ancestor-search resolution handles wiki KBs where authors omit one or more leading../prefixes. The.mdsuffix is inferred automatically for wikilinks.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 137 lines · 24 tokens per session scan A 442c117cfe50
migrate is a skill published in the GitHub repository garrytan/gbrain (29,629 stars, last pushed 3d ago), licensed MIT. It adds 24 tokens to every session and 1,225 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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