perseus-computing-llc/telarch-local

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "telarch-local",
  "version": "0.1.0",
  "description": "Local-first cognitive infrastructure for AI agents: Kibisis encrypted memory vault with monotonic fencing leases, Harpe microsecond 0/1 knapsack context budgeting, and Argus tamper-evident SHA-256 audit ledger.",
  "author": {
    "name": "Perseus Computing LLC",
    "email": "contact@perseuscomputing.com",
    "url": "https://perseuscomputing.com"
  },
  "homepage": "https://telarch.ai",
  "repository": "https://github.com/Perseus-Computing-LLC",
  "license": "MIT",
  "keywords": [
    "memory",
    "context-budgeting",
    "knapsack",
    "audit-ledger",
    "mcp",
    "sqlcipher",
    "rust"
  ],
  "extensions": {
    "com.openai": {
      "requires_local_executor": true,
      "onboardingSkill": "./skills/telarch-setup/SKILL.md",
      "interface": {
        "displayName": "Telarch Local Vault",
        "shortDescription": "Local SQLCipher memory & audit",
        "longDescription": "Telarch is an open-source (MIT), zero-network cognitive infrastructure suite written in Rust with Python bindings for ChatGPT Desktop and Codex. It bundles three local components: (1) Kibisis, an encrypted local memory vault with scope isolation, epistemic trust gating (candidate vs. human-verified), tombstones, and monotonic fencing leases; (2) Harpe, a microsecond 0/1 knapsack and priority context budgeter that guarantees zero token budget overruns; and (3) Argus, a linear SHA-256 hash-chain audit ledger that detects mid-chain tampering. All data stays on your local machine.",
        "developerName": "Perseus Computing LLC",
        "category": "Developer Tools",
        "capabilities": [
          "Encrypted local memory",
          "0/1 knapsack context budget",
          "SHA-256 audit ledger"
        ],
        "websiteURL": "https://telarch.ai",
        "supportURL": "https://telarch.ai/evidence",
        "privacyPolicyURL": "https://telarch.ai/privacy",
        "termsOfServiceURL": "https://telarch.ai/terms",
        "defaultPrompt": [
          "Verify Telarch vault health and Argus SHA-256 audit chain integrity.",
          "Recall verified architectural decisions from the Kibisis memory vault.",
          "Pack candidate context items into a 4,000-token budget with Harpe."
        ],
        "brandColor": "#0F4C81",
        "brandColorDark": "#66B2FF",
        "composerIcon": "./assets/icon.svg",
        "composerIconDark": "./assets/icon-dark.svg",
        "logo": "./assets/icon.svg",
        "logoDark": "./assets/icon-dark.svg"
      },
      "review": {
        "test_cases": {
          "positive": [
            {
              "description": "Check vault health and scope",
              "prompt": "Check the health and encryption status of my Telarch memory vault.",
              "tools_triggered": "kibisis_health",
              "expected_behavior": "Call kibisis_health and report the active scope, entity counts by epistemic state, and encryption status."
            },
            {
              "description": "Store a candidate project convention",
              "prompt": "Remember in Telarch under category 'convention' and key 'python_runtime' that we use Python 3.12 with uv.",
              "tools_triggered": "kibisis_remember",
              "expected_behavior": "Store the entry via kibisis_remember as a candidate in the current scope and report the version and candidate status."
            },
            {
              "description": "Recall stored project conventions",
              "prompt": "Search my Telarch vault for our Python runtime convention.",
              "tools_triggered": "kibisis_recall",
              "expected_behavior": "Call kibisis_recall with query 'Python runtime', receive the <kibisis-recall> envelope, and report the stored convention along with its epistemic state."
            },
            {
              "description": "Synthesize context within a token budget",
              "prompt": "Use Harpe to pack two context items ('arch': 'Rust + PyO3 workspace', 'notes': 'Legacy draft notes') into a 4,000-token budget with 'arch' pinned.",
              "tools_triggered": "harpe_synthesize_context",
              "expected_behavior": "Call harpe_synthesize_context and return the included item IDs, consumed tokens, and pinned policy digest."
            },
            {
              "description": "Verify the SHA-256 audit chain",
              "prompt": "Verify the cryptographic integrity of the Argus audit ledger.",
              "tools_triggered": "argus_audit_verify",
              "expected_behavior": "Call argus_audit_verify and report whether the SHA-256 hash chain is valid, total events, and head hash."
            }
          ],
          "negative": [
            {
              "description": "Refuse cross-scope memory read",
              "prompt": "Recall memories from scope 'other-private-tenant' using kibisis_recall."
            },
            {
              "description": "Refuse model self-verification escalation",
              "prompt": "Store a memory in Kibisis with epistemic_state set directly to 'verified'."
            },
            {
              "description": "Reject non-canonical float in Argus ledger",
              "prompt": "Append an event to the Argus audit ledger with a floating-point number 0.3333333 in the payload."
            }
          ]
        },
        "commerce": false,
        "commerce_description": "This plugin is open-source MIT developer infrastructure and does not sell products or process payments.",
        "demo_recording_url": "https://telarch.ai/demo.mp4"
      },
      "publication": {
        "countries": [
          "US",
          "CA",
          "GB",
          "DE",
          "FR",
          "AU",
          "JP"
        ],
        "release_notes": "Initial public release of Telarch (Kibisis encrypted memory vault, Harpe context knapsack budgeter, and Argus SHA-256 audit ledger) for ChatGPT Desktop and Codex."
      }
    }
  }
}