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swarmvault

par swarmclawai · swarmclawai/swarmvault

Turn raw research — PDFs, transcripts, code, audio — into a local markdown wiki + knowledge graph your AI can query forever.

SwarmVault compiles mixed inputs (30+ formats) into an Obsidian-compatible wiki with a typed knowledge graph and hybrid search. Exposes an MCP server for Claude Code, Codex, OpenCode, and others. Every edge is tagged extracted/inferred/ambiguous for provenance. Local-first with an offline heuristic provider (no API keys needed).

Pourquoi l'utiliser

Fonctionnalités clés

Démo en direct

Aperçu en pratique

swarmvault.replay ▶ prêt
0/0

Installer

Choisissez votre client

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "swarmvault": {
      "command": "npx",
      "args": [
        "-y",
        "swarmvault"
      ],
      "_inferred": true
    }
  }
}

Ouvrez Claude Desktop → Settings → Developer → Edit Config. Redémarrez après avoir enregistré.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "swarmvault": {
      "command": "npx",
      "args": [
        "-y",
        "swarmvault"
      ],
      "_inferred": true
    }
  }
}

Cursor utilise le même schéma mcpServers que Claude Desktop. La config projet l'emporte sur la globale.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "swarmvault": {
      "command": "npx",
      "args": [
        "-y",
        "swarmvault"
      ],
      "_inferred": true
    }
  }
}

Cliquez sur l'icône MCP Servers dans la barre latérale Cline, puis "Edit Configuration".

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "swarmvault": {
      "command": "npx",
      "args": [
        "-y",
        "swarmvault"
      ],
      "_inferred": true
    }
  }
}

Même format que Claude Desktop. Redémarrez Windsurf pour appliquer.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "swarmvault",
      "command": "npx",
      "args": [
        "-y",
        "swarmvault"
      ]
    }
  ]
}

Continue utilise un tableau d'objets serveur plutôt qu'une map.

~/.config/zed/settings.json
{
  "context_servers": {
    "swarmvault": {
      "command": {
        "path": "npx",
        "args": [
          "-y",
          "swarmvault"
        ]
      }
    }
  }
}

Ajoutez dans context_servers. Zed recharge à chaud à la sauvegarde.

claude mcp add swarmvault -- npx -y swarmvault

Une seule ligne. Vérifiez avec claude mcp list. Supprimez avec claude mcp remove.

Cas d'usage

Usages concrets : swarmvault

Compound research across months into a queryable wiki

👤 Researchers, analysts doing deep work over time ⏱ ~60 min intermediate

Quand l'utiliser : You've been researching a topic for weeks and realize your notes are scattered.

Prérequis
  • swarmvault CLI — npm install -g @swarmvaultai/cli
  • A vault — swarmvault init --obsidian --profile personal-research
Déroulement
  1. Dump raw sources
    Drop everything into raw/: PDFs, saved articles, meeting transcripts, code snippets.✓ Copié
    → Immutable raw/ folder populated
  2. Compile the wiki
    swarmvault compile — generate wiki/ with typed pages and link frontmatter.✓ Copié
    → Wiki pages created
  3. Query through MCP
    Via the MCP: what's the current consensus in my notes about 'post-quantum TLS timeline'? Include contradictions.✓ Copié
    → Answer with graph-walked citations and flagged contradictions

Résultat : A growing, queryable research base that gets smarter with every addition.

Pièges
  • Noisy inputs produce noisy graph — Curate raw/ — delete junk instead of ingesting everything
  • Over-relying on the graph for 'truth' — Edges tagged 'inferred' or 'ambiguous' are hypotheses, not facts — respect the tags
Combiner avec : documentation-server

Turn meeting transcripts into structured team knowledge

👤 Teams doing a lot of recorded meetings ⏱ ~45 min intermediate

Quand l'utiliser : You have Fathom/Otter transcripts piling up and want to query across them.

Déroulement
  1. Drop transcripts in raw/
    Copy all my Otter transcripts from last quarter into raw/meetings/.✓ Copié
    → Files in place
  2. Compile
    swarmvault compile. Confirm entities (people, projects) were extracted.✓ Copié
    → Entity count report
  3. Query
    What did we decide about the pricing overhaul across all Q1 meetings? Cite each source.✓ Copié
    → Consolidated answer with source transcripts cited

Résultat : Institutional memory that survives people leaving.

Build a book-club wiki with cross-book reasoning

👤 Serious readers ⏱ ~90 min intermediate

Quand l'utiliser : You want the AI to reason across books, not just one at a time.

Déroulement
  1. Ingest
    Drop PDFs + notes for 5 books into raw/; compile.✓ Copié
    → Wiki with one page per book + concept pages
  2. Cross-reason
    Which concepts show up in 3+ books? Identify contradictions between authors.✓ Copié
    → Concept map with contradictions flagged

Résultat : A reading practice that compounds.

Combinaisons

Associez-le à d'autres MCPs pour un effet X10

swarmvault for structured wiki; documentation-server for quick-ingest search

Ingest new papers into both — compare retrieval quality and structure.✓ Copié
swarmvault + logseq

Export vault pages into a Logseq graph

Export wiki/ Markdown into my Logseq pages/ dir with frontmatter preserved.✓ Copié

Outils

Ce que ce MCP expose

OutilEntréesQuand appelerCoût
vault_search query: str, top_k?: int Main retrieval free (local)
vault_get_page slug: str Full page read free
vault_graph_neighbors slug, depth? Explore concept graph free
vault_contradictions topic?: str Quality check free
vault_compile (none) After adding new raw/ CPU + optional embedding calls
vault_graph_report scope?: str Overview of a topic free

Coût et limites

Coût d'exécution

Quota d'API
Zero with the heuristic provider; otherwise your LLM provider's limits
Tokens par appel
Compile can stream large source content through embeddings; search queries 500-2000 tokens typical
Monétaire
Free; optional LLM providers cost normal LLM fees
Astuce
Use heuristic provider for first-pass compile; upgrade to LLM-backed compile only when quality matters.

Sécurité

Permissions, secrets, portée

Stockage des identifiants : Optional LLM provider keys in env/config
Sortie de données : None by default (heuristic); opt-in provider calls only

Dépannage

Erreurs courantes et correctifs

Compile fails on a specific PDF

Some PDFs are scanned/image-only. Pre-OCR with ocrmypdf before dropping in raw/.

Vérifier : pdftotext file.pdf - | head
MCP connection fails after agent install

Re-run swarmvault install --agent <name> and restart the agent; config paths vary per platform.

Vérifier : Client MCP list shows swarmvault
Hybrid search returns nothing

Vault not compiled yet, or embeddings not built for offline mode. Run swarmvault compile.

Vérifier : swarmvault status

Alternatives

swarmvault vs autres

AlternativeQuand l'utiliserCompromis
documentation-serverYou want quick drag-and-drop RAG without wiki compilationNo structured graph or contradiction detection
Obsidian + Smart ConnectionsYou live in Obsidian and want in-editor AILess structured compile pipeline
NotebookLMYou're OK with Google-hosted, easy UIData leaves your machine; no graph export

Plus

Ressources

📖 Lire le README officiel sur GitHub

🐙 Voir les issues ouvertes

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