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    Vaults Hub – Agent Memory in Markdown

    1

    Persistent project memory for your agent — read, write, search and restore Obsidian-style notes with git versioning.

    Free

    Security scanned
    Vaults Hub – Agent Memory in Markdown

    Vaults Hub – Agent Memory in Markdown

    Example session with this skill installed

    In my vault AcmeApp, find all notes about auth decisions, summarize them, then save the summary as decisions-auth.md with proper frontmatter and wiki-links.

    • Read your context and instructions
    • Compiled the vaults hub

    Summary

    Searched 12 notes in AcmeApp, found 3 auth decisions, saved consolidated summary to decisions-auth.md.

    MetricBeforeAfter
    Auth notes scattered3 files1 source of truth
    Lookup timemanual grepsearch_notes in 0.3s
    Versioningnonegit history + restore
    
# what the agent ran
search_notes(query="auth decision", vault="AcmeApp", before=1, after=1)
read_note(vault="AcmeApp", path="auth-jwt.md") # save sha256
write_note(vault="AcmeApp", path="decisions-auth.md", content="---\ntitle: Auth Decisions\ntags: [acme/auth]\n---\n\nSee [[auth-jwt]] and [[auth-oauth]]\n", expected_sha256=None)
history(vault="AcmeApp", path="decisions-auth.md")
Next steps
- Ask your agent restore(vault="AcmeApp", path="decisions-auth.md", rev="<sha>") to roll back any bad edit
- Use [[wiki-links]] to connect new notes — backlinks update automatically

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Stop losing decisions, todos and context between sessions.

    Vaults Hub gives any SKILL.md-compatible agent persistent memory as plain Markdown on disk — no Obsidian plugins, windows, ports, or API keys. Each project gets a vault under ~/.vaults, every change is auto-versioned with local git.

    What you get:

    • 14 tools: list_vaults, read_note, write_note, append_note, move_note, delete_note, search_notes, list_tags, history, restore + more
    • Safe concurrent edits: atomic writes, fcntl locking, expected_sha256 optimistic concurrency
    • Full-text search via ripgrep with Python fallback, backlinks + [[wiki-links]], tag index
    • Fail-open versioning: disk write always wins, git failure only warns as commit_error
    • Private by design: stdio MCP, closed-world (openWorldHint: false), no push/pull/fetch

    Perfect for coding agents that need to remember architecture, decisions, and todos across runs.

    Run in 10s: npx -y vaults-hub

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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