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Agience + FLARE integration bridge for DKG v10 Working Memory and Shared Memory workflows

Project description

agience-flare-dkg-integration

A platform-level integration bridging Agience Core (governed MCP-native artifact platform), FLARE (cryptographically enforced encrypted vector search), and OriginTrail DKG v10 Working Memory / Shared Memory into a three-layer trust gradient for collaborative knowledge production.

Features

  • MCP stdio server (agience-dkg-mcp) — exposes agience_wm_write, agience_promote, agience_search tools for Claude Desktop, Cursor, Claude Code, and any MCP host
  • Writes committed Agience artifacts to DKG v10 Working Memory as typed JSON-LD Knowledge Assets with the agience: RDF vocabulary — SPARQL-queryable by type, author, collection, and memory layer
  • Promotes eligible assets to Shared Memory (SHARE) via dkg-create (privacy=public)
  • Searches across memory layers via dkg-sparql-query with typed predicates
  • All DKG calls use MCP Streamable HTTP at POST /mcp with SSE stream handling
  • Distinguishes MCP transport success from blockchain anchoring state (status: anchored vs status: pending)
  • FLARE optional path: when policy_class = "internal-confidential", only derived projections reach DKG; raw content stays encrypted

Install

pip install agience-flare-dkg-integration

MCP Server (Claude Desktop, Cursor, etc.)

Add to your MCP client config:

{
  "mcpServers": {
    "agience-dkg": {
      "command": "agience-dkg-mcp",
      "env": {
        "DKG_BASE_URL": "http://localhost:8081",
        "DKG_TOKEN": "your-bearer-token"
      }
    }
  }
}

Tools: agience_wm_write, agience_promote, agience_search.

CLI

export DKG_BASE_URL=http://localhost:8081
export DKG_TOKEN=your-bearer-token

# Write to Working Memory
agience-dkg wm-write \
  --title "Architecture Decision: use DKG v10" \
  --artifact-type decision \
  --artifact-id art-001 \
  --content "We will use DKG v10 Working Memory as the shared knowledge substrate." \
  --context-graph-id my-context-graph \
  --collection-id my-project

# Promote to Shared Memory (SHARE)
agience-dkg promote <turn-uri> --context-graph-id my-context-graph

# Search
agience-dkg search "architecture decisions" --context-graph-id my-context-graph

Python API

from agience_dkg_integration import DkgHttpClient, MemoryTurnRequest
from agience_dkg_integration.formatter import artifact_to_markdown, session_uri_for_collection

client = DkgHttpClient(base_url="http://localhost:8081", bearer_token="token")

result = client.memory_turn(MemoryTurnRequest(
    contextGraphId="my-context-graph",
    markdown=artifact_to_markdown(title="My Note", content="...", artifact_type="research-note", artifact_id="art-001"),
    layer="wm",
    sessionUri=session_uri_for_collection("my-project"),
))
print(result.turn_uri)

Links

License

MIT

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