{
  "schema_version": "openagent.agent_resource_packet.v1",
  "id": "res_openlore",
  "slug": "openlore",
  "name": "OpenLore",
  "canonical_url": "https://www.openagent.bot/memory-systems/openlore",
  "category": "memory-systems",
  "resource_type": "memory_system",
  "summary": "OpenLore is an open-source memory layer for AI coding agents. It turns codebases into queryable knowledge graphs with static analysis, living specs, drift detection, and MCP tools so agents can recover architectural context instead of re-discovering it every session.",
  "capabilities": [
    "memory",
    "context-retrieval",
    "state",
    "mcp"
  ],
  "constraints": [
    "open-source",
    "mcp-compatible"
  ],
  "scenarios": [
    "personal-memory"
  ],
  "deployment_modes": [
    "cloud"
  ],
  "interfaces": [
    "repo"
  ],
  "integrations": [],
  "permission_surface": [
    "shell/files",
    "memory",
    "external services"
  ],
  "risk_level": "elevated",
  "source_confidence": "medium",
  "recommended_workflows": [
    "Coding agent workflow",
    "Memory or RAG workflow"
  ],
  "avoid_when": [
    "Small scripts where repository orientation is trivial",
    "Teams that only need document RAG rather than codebase structure"
  ],
  "primary_actions": [
    "Inspect repository",
    "Open Homepage"
  ],
  "evidence_urls": [
    "https://github.com/clay-good/OpenLore",
    "https://www.npmjs.com/package/openlore"
  ],
  "last_verified_at": "2026-06-10",
  "machine_readable": {
    "json_url": "https://www.openagent.bot/memory-systems/openlore.json",
    "markdown_url": "https://www.openagent.bot/memory-systems/openlore.md",
    "agent_json_url": "https://www.openagent.bot/memory-systems/openlore.agent.json"
  }
}