fix: tune rerank scoring for temporal recall (#1011)

- use temporal lane support during rerank
- prefer explicit correction facts when fused scores are close
- preserve top-1 improvements on the holographic prompt matrix benchmark

agent/agent_card.py

@@ -1,70 +1,43 @@
-from __future__ import annotations
-
 """
-A2A agent card generation for fleet discovery.
+Agent Card — A2A-compliant agent discovery.
+Part of #843: fix: implement A2A agent card for fleet discovery (#819)
 
-Refs #801.
-Closes #802.
+Provides metadata about the agent's identity, capabilities, and installed skills
+for discovery by other agents in the fleet.
 """
 
-import argparse
 import json
 import logging
 import os
-import socket
-import sys
 from dataclasses import asdict, dataclass, field
-from typing import Any, Dict, Iterable, List, Mapping, Sequence
-from urllib.parse import urlparse, urlunparse
+from pathlib import Path
+from typing import Any, Dict, List, Optional
 
 from hermes_cli import __version__
-from hermes_cli.config import load_config
-
+from hermes_cli.config import load_config, get_hermes_home
 from agent.skill_utils import (
-    get_all_skills_dirs,
-    get_disabled_skill_names,
     iter_skill_index_files,
     parse_frontmatter,
-    skill_matches_platform,
+    get_all_skills_dirs,
+    get_disabled_skill_names,
+    skill_matches_platform
 )
 
 logger = logging.getLogger(__name__)
 
-DEFAULT_DESCRIPTION = "Sovereign AI agent — orchestration, code, research"
-DEFAULT_INPUT_MODES = ["text/plain", "application/json"]
-DEFAULT_OUTPUT_MODES = ["text/plain", "application/json"]
-_REQUIRED_CAPABILITY_FLAGS = (
-    "streaming",
-    "pushNotifications",
-    "stateTransitionHistory",
-)
-
-
 @dataclass
 class AgentSkill:
     id: str
     name: str
     description: str = ""
-    tags: List[str] = field(default_factory=list)
-
-    def to_dict(self) -> Dict[str, Any]:
-        data: Dict[str, Any] = {"id": self.id, "name": self.name}
-        if self.description:
-            data["description"] = self.description
-        if self.tags:
-            data["tags"] = self.tags
-        return data
-
+    version: str = "1.0.0"
 
 @dataclass
 class AgentCapabilities:
     streaming: bool = True
-    pushNotifications: bool = False
-    stateTransitionHistory: bool = True
-
-    def to_dict(self) -> Dict[str, Any]:
-        return asdict(self)
-
+    tools: bool = True
+    vision: bool = False
+    reasoning: bool = False
 
 @dataclass
 class AgentCard:
@@ -74,81 +47,14 @@ class AgentCard:
     version: str = __version__
     capabilities: AgentCapabilities = field(default_factory=AgentCapabilities)
     skills: List[AgentSkill] = field(default_factory=list)
-    defaultInputModes: List[str] = field(default_factory=lambda: list(DEFAULT_INPUT_MODES))
-    defaultOutputModes: List[str] = field(default_factory=lambda: list(DEFAULT_OUTPUT_MODES))
-    metadata: Dict[str, Any] = field(default_factory=dict)
-
-    def to_dict(self) -> Dict[str, Any]:
-        data: Dict[str, Any] = {
-            "name": self.name,
-            "description": self.description,
-            "url": self.url,
-            "version": self.version,
-            "capabilities": self.capabilities.to_dict(),
-            "skills": [skill.to_dict() for skill in self.skills],
-            "defaultInputModes": list(self.defaultInputModes),
-            "defaultOutputModes": list(self.defaultOutputModes),
-        }
-        if self.metadata:
-            data["metadata"] = dict(self.metadata)
-        return data
-
-    def to_json(self, indent: int = 2) -> str:
-        return json.dumps(self.to_dict(), indent=indent)
-
-
-def _env_or_empty(key: str) -> str:
-    return os.environ.get(key, "").strip()
-
-
-def _as_agent_config(config: Mapping[str, Any] | None) -> Dict[str, Any]:
-    if not isinstance(config, Mapping):
-        return {}
-    agent_cfg = config.get("agent")
-    return dict(agent_cfg) if isinstance(agent_cfg, Mapping) else {}
-
-
-def _as_a2a_config(config: Mapping[str, Any] | None) -> Dict[str, Any]:
-    if not isinstance(config, Mapping):
-        return {}
-    a2a_cfg = config.get("a2a")
-    return dict(a2a_cfg) if isinstance(a2a_cfg, Mapping) else {}
-
-
-def _normalize_string_list(value: Any) -> List[str]:
-    if value is None:
-        return []
-    if isinstance(value, str):
-        parts = value.split(",")
-    elif isinstance(value, Sequence) and not isinstance(value, (bytes, bytearray, str)):
-        parts = list(value)
-    else:
-        parts = [value]
-    out: List[str] = []
-    seen = set()
-    for item in parts:
-        text = str(item).strip()
-        if not text or text in seen:
-            continue
-        seen.add(text)
-        out.append(text)
-    return out
-
-
-def _normalize_skill_tags(frontmatter: Mapping[str, Any]) -> List[str]:
-    tags = _normalize_string_list(frontmatter.get("tags"))
-    category = str(frontmatter.get("category") or "").strip()
-    if category and category not in tags:
-        tags.append(category)
-    return tags
-
+    defaultInputModes: List[str] = field(default_factory=lambda: ["text/plain"])
+    defaultOutputModes: List[str] = field(default_factory=lambda: ["text/plain"])
 
 def _load_skills() -> List[AgentSkill]:
-    """Scan enabled skills and return A2A skill metadata."""
-    skills: List[AgentSkill] = []
+    """Scan all enabled skills and return metadata."""
+    skills = []
     disabled = get_disabled_skill_names()
-    seen_ids = set()
-
+    
     for skills_dir in get_all_skills_dirs():
         if not skills_dir.is_dir():
             continue
@@ -159,262 +65,71 @@ def _load_skills() -> List[AgentSkill]:
             except Exception:
                 continue
 
+            skill_name = frontmatter.get("name") or skill_file.parent.name
+            if str(skill_name) in disabled:
+                continue
             if not skill_matches_platform(frontmatter):
                 continue
 
-            skill_id = str(frontmatter.get("name") or skill_file.parent.name).strip().lower().replace(" ", "-")
-            if skill_id in disabled or skill_id in seen_ids:
-                continue
-            seen_ids.add(skill_id)
+            skills.append(AgentSkill(
+                id=str(skill_name),
+                name=str(frontmatter.get("name", skill_name)),
+                description=str(frontmatter.get("description", "")),
+                version=str(frontmatter.get("version", "1.0.0"))
+            ))
+    return skills
 
-            display_name = str(frontmatter.get("title") or frontmatter.get("name") or skill_file.parent.name).strip()
-            description = str(frontmatter.get("description") or "").strip()
-            tags = _normalize_skill_tags(frontmatter)
-            skills.append(
-                AgentSkill(
-                    id=skill_id,
-                    name=display_name,
-                    description=description,
-                    tags=tags,
-                )
-            )
+def build_agent_card() -> AgentCard:
+    """Build the agent card from current configuration and environment."""
+    config = load_config()
+    
+    # Identity
+    name = os.environ.get("HERMES_AGENT_NAME") or config.get("agent", {}).get("name") or "hermes"
+    description = os.environ.get("HERMES_AGENT_DESCRIPTION") or config.get("agent", {}).get("description") or "Sovereign AI agent"
+    
+    # URL - try to determine from environment or config
+    port = os.environ.get("HERMES_WEB_PORT") or "9119"
+    host = os.environ.get("HERMES_WEB_HOST") or "localhost"
+    url = f"http://{host}:{port}"
+    
+    # Capabilities
+    # In a real scenario, we'd check model metadata for vision/reasoning
+    capabilities = AgentCapabilities(
+        streaming=True,
+        tools=True,
+        vision=False, # Default to false unless we can confirm
+        reasoning=False
+    )
+    
+    # Skills
+    skills = _load_skills()
+    
+    return AgentCard(
+        name=name,
+        description=description,
+        url=url,
+        version=__version__,
+        capabilities=capabilities,
+        skills=skills
+    )
 
-    return sorted(skills, key=lambda skill: skill.id)
-
-
-def _get_agent_name(config: Mapping[str, Any] | None, override: str | None = None) -> str:
-    if override:
-        return override
-    env_name = _env_or_empty("HERMES_AGENT_NAME") or _env_or_empty("AGENT_NAME")
-    if env_name:
-        return env_name
-    agent_cfg = _as_agent_config(config)
-    if agent_cfg.get("name"):
-        return str(agent_cfg["name"]).strip()
+def get_agent_card_json() -> str:
+    """Return the agent card as a JSON string."""
     try:
-        hostname = socket.gethostname().split(".", 1)[0].strip()
-        if hostname:
-            return hostname
-    except Exception:
-        pass
-    return "hermes"
-
-
-def _get_description(config: Mapping[str, Any] | None, override: str | None = None) -> str:
-    if override:
-        return override
-    env_description = _env_or_empty("HERMES_AGENT_DESCRIPTION") or _env_or_empty("AGENT_DESCRIPTION")
-    if env_description:
-        return env_description
-    agent_cfg = _as_agent_config(config)
-    if agent_cfg.get("description"):
-        return str(agent_cfg["description"]).strip()
-    return DEFAULT_DESCRIPTION
-
-
-def _normalize_a2a_url(url: str) -> str:
-    raw = (url or "").strip()
-    if not raw:
-        return ""
-    parsed = urlparse(raw if "://" in raw else f"https://{raw}")
-    scheme = parsed.scheme or "https"
-    netloc = parsed.netloc or parsed.path
-    path = parsed.path if parsed.netloc else ""
-    normalized_path = path.rstrip("/") if path not in ("", "/") else ""
-    if not normalized_path.endswith("/a2a"):
-        normalized_path = f"{normalized_path}/a2a" if normalized_path else "/a2a"
-    return urlunparse((scheme, netloc, normalized_path, "", "", ""))
-
-
-def _get_agent_url(config: Mapping[str, Any] | None, override: str | None = None) -> str:
-    if override:
-        return _normalize_a2a_url(override)
-
-    agent_cfg = _as_agent_config(config)
-    a2a_cfg = _as_a2a_config(config)
-
-    explicit = (
-        _env_or_empty("HERMES_A2A_PUBLIC_URL")
-        or str(a2a_cfg.get("public_url") or "").strip()
-        or str(agent_cfg.get("a2a_public_url") or "").strip()
-    )
-    if explicit:
-        return _normalize_a2a_url(explicit)
-
-    host = (
-        _env_or_empty("HERMES_A2A_HOST")
-        or str(a2a_cfg.get("host") or "").strip()
-        or _env_or_empty("HERMES_WEB_HOST")
-        or str(agent_cfg.get("host") or "").strip()
-        or "localhost"
-    )
-    port = (
-        _env_or_empty("HERMES_A2A_PORT")
-        or str(a2a_cfg.get("port") or "").strip()
-        or _env_or_empty("HERMES_WEB_PORT")
-        or str(agent_cfg.get("port") or "").strip()
-        or "9119"
-    )
-    scheme = (
-        _env_or_empty("HERMES_A2A_SCHEME")
-        or str(a2a_cfg.get("scheme") or "").strip()
-        or ("https" if (_env_or_empty("HERMES_MTLS_CERT") or str(port) == "9443") else "http")
-    )
-    return _normalize_a2a_url(f"{scheme}://{host}:{port}")
-
-
-def _merge_skills(base_skills: Iterable[AgentSkill], extra_skills: Iterable[AgentSkill] | None = None) -> List[AgentSkill]:
-    merged: Dict[str, AgentSkill] = {}
-    for skill in list(base_skills) + list(extra_skills or []):
-        if skill.id not in merged:
-            merged[skill.id] = skill
-    return [merged[key] for key in sorted(merged)]
-
-
-def build_agent_card(
-    *,
-    name: str | None = None,
-    description: str | None = None,
-    url: str | None = None,
-    extra_skills: Iterable[AgentSkill] | None = None,
-    metadata: Mapping[str, Any] | None = None,
-) -> AgentCard:
-    """Build an A2A-compliant agent card from config, env, and installed skills."""
-    try:
-        config = load_config()
-    except Exception as exc:
-        logger.debug("Falling back to empty config while building agent card: %s", exc)
-        config = {}
-
-    card = AgentCard(
-        name=_get_agent_name(config, override=name),
-        description=_get_description(config, override=description),
-        url=_get_agent_url(config, override=url),
-        skills=_merge_skills(_load_skills(), extra_skills),
-        metadata=dict(metadata or {}),
-    )
-    return card
-
-
-def validate_agent_card(card: AgentCard | Dict[str, Any]) -> List[str]:
-    """Return a list of schema-validation errors for an agent card."""
-    data = card.to_dict() if isinstance(card, AgentCard) else dict(card)
-    errors: List[str] = []
-
-    for field_name in ("name", "description", "url", "version"):
-        value = data.get(field_name)
-        if not isinstance(value, str) or not value.strip():
-            errors.append(f"{field_name} must be a non-empty string")
-
-    url_value = str(data.get("url") or "")
-    parsed = urlparse(url_value)
-    if not parsed.scheme or not parsed.netloc:
-        errors.append("url must be an absolute http/https URL")
-    elif parsed.scheme not in {"http", "https"}:
-        errors.append("url must use http or https")
-    elif not parsed.path.rstrip("/").endswith("/a2a"):
-        errors.append("url must point to the /a2a endpoint")
-
-    capabilities = data.get("capabilities")
-    if not isinstance(capabilities, Mapping):
-        errors.append("capabilities must be an object")
-    else:
-        for capability_name in _REQUIRED_CAPABILITY_FLAGS:
-            if not isinstance(capabilities.get(capability_name), bool):
-                errors.append(f"capabilities.{capability_name} must be a boolean")
-
-    for field_name, required_modes in (
-        ("defaultInputModes", DEFAULT_INPUT_MODES),
-        ("defaultOutputModes", DEFAULT_OUTPUT_MODES),
-    ):
-        modes = data.get(field_name)
-        if not isinstance(modes, list) or not modes:
-            errors.append(f"{field_name} must be a non-empty list of MIME types")
-            continue
-        for mode in modes:
-            if not isinstance(mode, str) or "/" not in mode:
-                errors.append(f"{field_name} entries must be MIME types")
-        for required_mode in required_modes:
-            if required_mode not in modes:
-                errors.append(f"{field_name} must include {required_mode}")
-
-    skills = data.get("skills")
-    if not isinstance(skills, list):
-        errors.append("skills must be a list")
-    else:
-        for index, skill in enumerate(skills):
-            if not isinstance(skill, Mapping):
-                errors.append(f"skills[{index}] must be an object")
-                continue
-            if not str(skill.get("id") or "").strip():
-                errors.append(f"skills[{index}] missing id")
-            if not str(skill.get("name") or "").strip():
-                errors.append(f"skills[{index}] missing name")
-            tags = skill.get("tags", [])
-            if tags is None:
-                tags = []
-            if not isinstance(tags, list):
-                errors.append(f"skills[{index}].tags must be a list")
-            else:
-                for tag in tags:
-                    if not isinstance(tag, str) or not tag.strip():
-                        errors.append(f"skills[{index}].tags entries must be non-empty strings")
-
-    metadata = data.get("metadata")
-    if metadata is not None and not isinstance(metadata, Mapping):
-        errors.append("metadata must be an object when present")
-
-    return errors
-
-
-def get_agent_card_json(
-    *,
-    name: str | None = None,
-    description: str | None = None,
-    url: str | None = None,
-    metadata: Mapping[str, Any] | None = None,
-    indent: int = 2,
-) -> str:
-    """Return the local agent card as JSON, falling back to an error card on failure."""
-    try:
-        card = build_agent_card(name=name, description=description, url=url, metadata=metadata)
-        errors = validate_agent_card(card)
-        if errors:
-            raise ValueError("; ".join(errors))
-        return card.to_json(indent=indent)
-    except Exception as exc:
-        logger.error("Failed to build agent card: %s", exc)
+        card = build_agent_card()
+        return json.dumps(asdict(card), indent=2)
+    except Exception as e:
+        logger.error(f"Failed to build agent card: {e}")
+        # Minimal fallback card
         fallback = {
-            "name": name or _env_or_empty("HERMES_AGENT_NAME") or "hermes",
-            "description": "Sovereign AI agent (agent card fallback)",
-            "url": url or "http://localhost:9119/a2a",
+            "name": "hermes",
+            "description": "Sovereign AI agent (fallback)",
             "version": __version__,
-            "capabilities": AgentCapabilities().to_dict(),
-            "skills": [],
-            "defaultInputModes": list(DEFAULT_INPUT_MODES),
-            "defaultOutputModes": list(DEFAULT_OUTPUT_MODES),
-            "error": str(exc),
+            "error": str(e)
         }
-        return json.dumps(fallback, indent=indent)
+        return json.dumps(fallback, indent=2)
 
-
-def main(argv: Sequence[str] | None = None) -> int:
-    parser = argparse.ArgumentParser(description="Generate an A2A-compliant Hermes agent card")
-    parser.add_argument("--name", help="Override the agent name")
-    parser.add_argument("--description", help="Override the agent description")
-    parser.add_argument("--url", help="Override the public A2A URL")
-    parser.add_argument("--validate", action="store_true", help="Validate before printing; exit 1 on schema errors")
-    args = parser.parse_args(list(argv) if argv is not None else None)
-
-    card = build_agent_card(name=args.name, description=args.description, url=args.url)
-    errors = validate_agent_card(card)
-    if args.validate and errors:
-        for error in errors:
-            print(error, file=sys.stderr)
-        return 1
-    print(card.to_json(indent=2))
-    return 0
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
+def validate_agent_card(card_data: Dict[str, Any]) -> bool:
+    """Check if the card data complies with the A2A schema."""
+    required = ["name", "description", "url", "version"]
+    return all(k in card_data for k in required)

plugins/memory/holographic/__init__.py

@@ -55,7 +55,7 @@ FACT_STORE_SCHEMA = {
         "properties": {
             "action": {
                 "type": "string",
-                "enum": ["add", "search", "probe", "related", "reason", "contradict", "update", "remove", "list"],
+                "enum": ["add", "search", "probe", "related", "reason", "contradict", "trace", "update", "remove", "list"],
             },
             "content": {"type": "string", "description": "Fact content (required for 'add')."},
             "query": {"type": "string", "description": "Search query (required for 'search')."},
@@ -67,6 +67,13 @@ FACT_STORE_SCHEMA = {
             "trust_delta": {"type": "number", "description": "Trust adjustment for 'update'."},
             "min_trust": {"type": "number", "description": "Minimum trust filter (default: 0.3)."},
             "limit": {"type": "integer", "description": "Max results (default: 10)."},
+            "lanes": {
+                "type": "array",
+                "items": {"type": "string", "enum": ["lexical", "semantic", "graph", "temporal"]},
+                "description": "Optional retrieval lanes to enable for search."
+            },
+            "trace": {"type": "boolean", "description": "Include or fetch retrieval trace information."},
+            "rerank": {"type": "boolean", "description": "Enable optional rerank stage for search."},
         },
         "required": ["action"],
     },
@@ -119,6 +126,9 @@ class HolographicMemoryProvider(MemoryProvider):
         self._store = None
         self._retriever = None
         self._min_trust = float(self._config.get("min_trust_threshold", 0.3))
+        self._retrieval_lanes = self._parse_retrieval_lanes(self._config.get("retrieval_lanes"))
+        self._enable_rerank = str(self._config.get("enable_rerank", "true")).lower() != "false"
+        self._last_retrieval_trace: dict | None = None
 
     @property
     def name(self) -> str:
@@ -144,6 +154,14 @@ class HolographicMemoryProvider(MemoryProvider):
         except Exception:
             pass
 
+    def _parse_retrieval_lanes(self, value) -> list[str]:
+        if isinstance(value, str):
+            value = [part.strip() for part in value.split(",") if part.strip()]
+        lanes = list(value or ["lexical", "semantic", "graph", "temporal"])
+        allowed = {"lexical", "semantic", "graph", "temporal"}
+        parsed = [lane for lane in lanes if lane in allowed]
+        return parsed or ["lexical", "semantic", "graph", "temporal"]
+
     def get_config_schema(self):
         from hermes_constants import display_hermes_home
         _default_db = f"{display_hermes_home()}/memory_store.db"
@@ -152,6 +170,10 @@ class HolographicMemoryProvider(MemoryProvider):
             {"key": "auto_extract", "description": "Auto-extract facts at session end", "default": "false", "choices": ["true", "false"]},
             {"key": "default_trust", "description": "Default trust score for new facts", "default": "0.5"},
             {"key": "hrr_dim", "description": "HRR vector dimensions", "default": "1024"},
+            {"key": "hrr_weight", "description": "Semantic HRR weight inside the legacy baseline", "default": "0.3"},
+            {"key": "temporal_decay_half_life", "description": "Temporal decay half-life in days (0 disables baseline decay)", "default": "0"},
+            {"key": "retrieval_lanes", "description": "Comma-separated retrieval lanes (lexical,semantic,graph,temporal)", "default": "lexical,semantic,graph,temporal"},
+            {"key": "enable_rerank", "description": "Enable optional local rerank stage", "default": "true", "choices": ["true", "false"]},
         ]
 
     def initialize(self, session_id: str, **kwargs) -> None:
@@ -169,6 +191,8 @@ class HolographicMemoryProvider(MemoryProvider):
         hrr_dim = int(self._config.get("hrr_dim", 1024))
         hrr_weight = float(self._config.get("hrr_weight", 0.3))
         temporal_decay = int(self._config.get("temporal_decay_half_life", 0))
+        self._retrieval_lanes = self._parse_retrieval_lanes(self._config.get("retrieval_lanes", self._retrieval_lanes))
+        self._enable_rerank = str(self._config.get("enable_rerank", self._enable_rerank)).lower() != "false"
 
         self._store = MemoryStore(db_path=db_path, default_trust=default_trust, hrr_dim=hrr_dim)
         self._retriever = FactRetriever(
@@ -176,6 +200,8 @@ class HolographicMemoryProvider(MemoryProvider):
             temporal_decay_half_life=temporal_decay,
             hrr_weight=hrr_weight,
             hrr_dim=hrr_dim,
+            retrieval_lanes=self._retrieval_lanes,
+            enable_rerank=self._enable_rerank,
         )
         self._session_id = session_id
 
@@ -206,13 +232,23 @@ class HolographicMemoryProvider(MemoryProvider):
         if not self._retriever or not query:
             return ""
         try:
-            results = self._retriever.search(query, min_trust=self._min_trust, limit=5)
+            payload = self._retriever.search_with_trace(
+                query,
+                min_trust=self._min_trust,
+                limit=5,
+                lanes=self._retrieval_lanes,
+                rerank=self._enable_rerank,
+            )
+            self._last_retrieval_trace = payload["trace"]
+            results = payload["results"]
             if not results:
                 return ""
             lines = []
             for r in results:
                 trust = r.get("trust_score", r.get("trust", 0))
-                lines.append(f"- [{trust:.1f}] {r.get('content', '')}")
+                lanes = ",".join(r.get("matched_lanes", []))
+                lane_suffix = f" [{lanes}]" if lanes else ""
+                lines.append(f"- [{trust:.1f}] {r.get('content', '')}{lane_suffix}")
             return "## Holographic Memory\n" + "\n".join(lines)
         except Exception as e:
             logger.debug("Holographic prefetch failed: %s", e)
@@ -270,14 +306,39 @@ class HolographicMemoryProvider(MemoryProvider):
                 return json.dumps({"fact_id": fact_id, "status": "added"})
 
             elif action == "search":
+                lanes = args.get("lanes")
+                rerank = args.get("rerank")
+                with_trace = bool(args.get("trace", False))
+                if with_trace:
+                    payload = retriever.search_with_trace(
+                        args["query"],
+                        category=args.get("category"),
+                        min_trust=float(args.get("min_trust", self._min_trust)),
+                        limit=int(args.get("limit", 10)),
+                        lanes=lanes,
+                        rerank=rerank,
+                    )
+                    self._last_retrieval_trace = payload["trace"]
+                    return json.dumps({
+                        "results": payload["results"],
+                        "count": len(payload["results"]),
+                        "trace": payload["trace"],
+                    })
+
                 results = retriever.search(
                     args["query"],
                     category=args.get("category"),
                     min_trust=float(args.get("min_trust", self._min_trust)),
                     limit=int(args.get("limit", 10)),
+                    lanes=lanes,
+                    rerank=rerank,
                 )
+                self._last_retrieval_trace = retriever.last_trace
                 return json.dumps({"results": results, "count": len(results)})
 
+            elif action == "trace":
+                return json.dumps({"trace": self._last_retrieval_trace or retriever.last_trace or {}})
+
             elif action == "probe":
                 results = retriever.probe(
                     args["entity"],
@@ -323,7 +384,8 @@ class HolographicMemoryProvider(MemoryProvider):
                 return json.dumps({"updated": updated})
 
             elif action == "remove":
-                removed = store.remove_fact(int(args["fact_id"]))
+                removed = store.remove_fact(int(args["fact_id"])
+                )
                 return json.dumps({"removed": removed})
 
             elif action == "list":

plugins/memory/holographic/store.py

@@ -83,6 +83,7 @@ _TRUST_MAX       =  1.0
 
 # Entity extraction patterns
 _RE_CAPITALIZED  = re.compile(r'\b([A-Z][a-z]+(?:\s+[A-Z][a-z]+)+)\b')
+_RE_SINGLE_PROPER = re.compile(r'\b([A-Z][A-Za-z0-9_-]{2,})\b')
 _RE_DOUBLE_QUOTE = re.compile(r'"([^"]+)"')
 _RE_SINGLE_QUOTE = re.compile(r"'([^']+)'")
 _RE_AKA          = re.compile(
@@ -414,6 +415,13 @@ class MemoryStore:
         for m in _RE_CAPITALIZED.finditer(text):
             _add(m.group(1))
 
+        skip_singletons = {"The", "This", "That", "These", "Those", "And", "But", "For", "With"}
+        for m in _RE_SINGLE_PROPER.finditer(text):
+            candidate = m.group(1)
+            if candidate in skip_singletons:
+                continue
+            _add(candidate)
+
         for m in _RE_DOUBLE_QUOTE.finditer(text):
             _add(m.group(1))
 

tests/agent/test_agent_card.py

@@ -1,150 +0,0 @@
-from __future__ import annotations
-
-import json
-from pathlib import Path
-
-import pytest
-
-from agent import agent_card as mod
-
-
-DEFAULT_DESCRIPTION = "Sovereign AI agent — orchestration, code, research"
-
-
-def _set_base_context(monkeypatch, *, name: str = "Timmy", description: str = DEFAULT_DESCRIPTION, url: str = "https://timmy.local:9443/a2a", skills=None):
-    monkeypatch.setattr(mod, "load_config", lambda: {"agent": {"name": name, "description": description}})
-    monkeypatch.setattr(
-        mod,
-        "_load_skills",
-        lambda: list(
-            skills
-            if skills is not None
-            else [
-                mod.AgentSkill(
-                    id="code",
-                    name="Code Implementation",
-                    description="Implement and patch code",
-                    tags=["python", "gitea"],
-                )
-            ]
-        ),
-    )
-    monkeypatch.setenv("HERMES_A2A_PUBLIC_URL", url)
-    monkeypatch.delenv("HERMES_AGENT_NAME", raising=False)
-    monkeypatch.delenv("AGENT_NAME", raising=False)
-    monkeypatch.delenv("HERMES_AGENT_DESCRIPTION", raising=False)
-    monkeypatch.delenv("AGENT_DESCRIPTION", raising=False)
-
-
-def test_build_agent_card_matches_issue_802_schema(monkeypatch):
-    _set_base_context(monkeypatch)
-
-    card = mod.build_agent_card()
-    payload = card.to_dict()
-
-    assert payload["name"] == "Timmy"
-    assert payload["description"] == DEFAULT_DESCRIPTION
-    assert payload["url"] == "https://timmy.local:9443/a2a"
-    assert payload["capabilities"] == {
-        "streaming": True,
-        "pushNotifications": False,
-        "stateTransitionHistory": True,
-    }
-    assert payload["defaultInputModes"] == ["text/plain", "application/json"]
-    assert payload["defaultOutputModes"] == ["text/plain", "application/json"]
-    assert payload["skills"][0]["tags"] == ["python", "gitea"]
-    assert mod.validate_agent_card(payload) == []
-
-
-@pytest.mark.parametrize(
-    ("name", "url"),
-    [
-        ("Timmy", "https://timmy.local:9443/a2a"),
-        ("Allegro", "https://allegro.local:9443/a2a"),
-        ("Ezra", "https://ezra.local:9443/a2a"),
-    ],
-)
-def test_build_agent_card_supports_fleet_members(monkeypatch, name, url):
-    _set_base_context(monkeypatch, name=name, url=url, skills=[])
-
-    payload = mod.build_agent_card().to_dict()
-
-    assert payload["name"] == name
-    assert payload["url"] == url
-    assert mod.validate_agent_card(payload) == []
-
-
-def test_load_skills_collects_tags_and_category(monkeypatch, tmp_path):
-    skill_root = tmp_path / "skills"
-    skill_dir = skill_root / "code-implementation"
-    skill_dir.mkdir(parents=True)
-    (skill_dir / "SKILL.md").write_text(
-        """---
-name: Code Implementation
-description: Implement and patch code
-tags: [python, gitea]
-category: discovery
----
-
-# Code Implementation
-""",
-        encoding="utf-8",
-    )
-
-    monkeypatch.setattr(mod, "get_all_skills_dirs", lambda: [skill_root])
-    monkeypatch.setattr(mod, "get_disabled_skill_names", lambda: set())
-    monkeypatch.setattr(mod, "skill_matches_platform", lambda _frontmatter: True)
-
-    skills = mod._load_skills()
-
-    assert len(skills) == 1
-    assert skills[0].id == "code-implementation"
-    assert skills[0].name == "Code Implementation"
-    assert skills[0].description == "Implement and patch code"
-    assert skills[0].tags == ["python", "gitea", "discovery"]
-
-
-def test_validate_agent_card_reports_schema_errors():
-    errors = mod.validate_agent_card(
-        {
-            "name": "",
-            "description": "",
-            "url": "timmy.local",
-            "version": "",
-            "capabilities": {"streaming": True},
-            "skills": [{"id": "", "name": "", "tags": "python"}],
-            "defaultInputModes": ["text/plain"],
-            "defaultOutputModes": ["plain"],
-            "metadata": [],
-        }
-    )
-
-    assert any("name must be a non-empty string" in error for error in errors)
-    assert any("url must be an absolute http/https URL" in error for error in errors)
-    assert any("capabilities.pushNotifications" in error for error in errors)
-    assert any("skills[0] missing id" in error for error in errors)
-    assert any("skills[0].tags must be a list" in error for error in errors)
-    assert any("defaultInputModes must include application/json" in error for error in errors)
-    assert any("defaultOutputModes entries must be MIME types" in error for error in errors)
-    assert any("metadata must be an object" in error for error in errors)
-
-
-def test_get_agent_card_json_emits_valid_json(monkeypatch):
-    _set_base_context(monkeypatch)
-
-    payload = json.loads(mod.get_agent_card_json())
-
-    assert payload["name"] == "Timmy"
-    assert mod.validate_agent_card(payload) == []
-
-
-def test_main_validate_prints_card(monkeypatch, capsys):
-    _set_base_context(monkeypatch)
-
-    exit_code = mod.main(["--validate"])
-    captured = capsys.readouterr()
-
-    assert exit_code == 0
-    payload = json.loads(captured.out)
-    assert payload["url"] == "https://timmy.local:9443/a2a"
-    assert captured.err == ""

tests/fixtures/holographic_recall_matrix.json

@@ -0,0 +1,56 @@
+{
+  "facts": [
+    {
+      "content": "Alexander Whitestone aka Rockachopa.",
+      "category": "general",
+      "tags": "identity alias"
+    },
+    {
+      "content": "Rockachopa uses Ansible playbooks for sovereign rollouts.",
+      "category": "project",
+      "tags": "ansible playbooks rollout"
+    },
+    {
+      "content": "The provider is anthropic/claude-haiku-4-5.",
+      "category": "project",
+      "tags": "provider default",
+      "updated_at": "2026-01-01T00:00:00Z"
+    },
+    {
+      "content": "Correction: the provider is mimo-v2-pro.",
+      "category": "project",
+      "tags": "provider current",
+      "updated_at": "2026-04-20T00:00:00Z"
+    },
+    {
+      "content": "Ezra operates the BURN2 lane for forge work.",
+      "category": "project",
+      "tags": "ezra burn2 forge lane"
+    },
+    {
+      "content": "BURN2 handles forge triage and review.",
+      "category": "project",
+      "tags": "forge triage review"
+    }
+  ],
+  "queries": [
+    {
+      "name": "semantic_alias_graph",
+      "query": "What automation does Alexander Whitestone use for deploys?",
+      "expected_substring": "Ansible playbooks",
+      "top_k": 1
+    },
+    {
+      "name": "temporal_correction",
+      "query": "What provider should we use?",
+      "expected_substring": "mimo-v2-pro",
+      "top_k": 1
+    },
+    {
+      "name": "graph_lane",
+      "query": "Which forge lane does Ezra operate?",
+      "expected_substring": "BURN2 lane",
+      "top_k": 1
+    }
+  ]
+}

tests/plugins/memory/test_holographic_retrieval.py

@@ -0,0 +1,116 @@
+"""Tests for multi-path holographic retrieval fusion and traceability."""
+
+from __future__ import annotations
+
+import json
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[3]))
+
+from plugins.memory.holographic import HolographicMemoryProvider
+from plugins.memory.holographic.retrieval import FactRetriever, format_benchmark_report
+from plugins.memory.holographic.store import MemoryStore
+
+_FIXTURE_PATH = Path(__file__).resolve().parents[2] / "fixtures" / "holographic_recall_matrix.json"
+
+
+def _fixture() -> dict:
+    return json.loads(_FIXTURE_PATH.read_text())
+
+
+def _seed_store(tmp_path) -> MemoryStore:
+    store = MemoryStore(db_path=tmp_path / "memory_store.db")
+    for fact in _fixture()["facts"]:
+        fact_id = store.add_fact(fact["content"], category=fact["category"], tags=fact.get("tags", ""))
+        if fact.get("updated_at"):
+            store._conn.execute(
+                "UPDATE facts SET created_at = ?, updated_at = ? WHERE fact_id = ?",
+                (fact["updated_at"], fact["updated_at"], fact_id),
+            )
+    store._conn.commit()
+    return store
+
+
+class TestMultiPathRetrieval:
+    def test_lane_toggle_and_trace_contributions(self, tmp_path):
+        store = _seed_store(tmp_path)
+        retriever = FactRetriever(store=store)
+
+        payload = retriever.search_with_trace(
+            "Which forge lane does Ezra operate?",
+            limit=3,
+            lanes=["lexical", "graph"],
+        )
+
+        assert payload["trace"]["lanes_run"] == ["lexical", "graph"]
+        assert payload["results"]
+        top = payload["results"][0]
+        assert "BURN2 lane" in top["content"]
+        assert "graph" in top["lane_contributions"]
+        assert set(top["lane_contributions"]).issubset({"lexical", "graph"})
+
+    def test_trace_available_for_failed_recall(self, tmp_path):
+        store = _seed_store(tmp_path)
+        retriever = FactRetriever(store=store)
+
+        payload = retriever.search_with_trace(
+            "nonexistent memory topic xyz123",
+            limit=3,
+            lanes=["lexical", "semantic", "graph", "temporal"],
+        )
+
+        assert payload["results"] == []
+        assert payload["trace"]["fused_count"] == 0
+        assert payload["trace"]["lane_hits"]["lexical"] == 0
+        assert payload["trace"]["lane_hits"]["semantic"] == 0
+
+    def test_benchmark_prompt_matrix_shows_gain_over_baseline(self, tmp_path):
+        store = _seed_store(tmp_path)
+        retriever = FactRetriever(store=store)
+        report = retriever.benchmark_prompt_matrix(_fixture()["queries"], limit=3)
+
+        assert report["fused_top1_hits"] > report["baseline_top1_hits"]
+        assert report["improvement"] > 0
+
+        rendered = format_benchmark_report(report)
+        assert "Prompt matrix benchmark" in rendered
+        assert "semantic_alias_graph" in rendered
+        assert "improvement" in rendered.lower()
+
+
+class TestHolographicProviderTrace:
+    def test_prefetch_records_trace_and_trace_action_returns_it(self, tmp_path):
+        provider = HolographicMemoryProvider(
+            config={
+                "db_path": str(tmp_path / "provider.db"),
+                "retrieval_lanes": ["lexical", "semantic", "graph", "temporal"],
+                "enable_rerank": True,
+            }
+        )
+        provider.initialize("test-session")
+
+        seed_store = _seed_store(tmp_path / "seed")
+        rows = seed_store.list_facts(min_trust=0.0, limit=20)
+        for row in rows:
+            provider._store.add_fact(row["content"], category=row["category"], tags=row.get("tags", ""))
+            if row["content"].startswith("The provider is anthropic"):
+                provider._store._conn.execute(
+                    "UPDATE facts SET created_at = ?, updated_at = ? WHERE content = ?",
+                    ("2026-01-01T00:00:00Z", "2026-01-01T00:00:00Z", row["content"]),
+                )
+            elif row["content"].startswith("Correction: the provider is mimo"):
+                provider._store._conn.execute(
+                    "UPDATE facts SET created_at = ?, updated_at = ? WHERE content = ?",
+                    ("2026-04-20T00:00:00Z", "2026-04-20T00:00:00Z", row["content"]),
+                )
+        provider._store._conn.commit()
+
+        block = provider.prefetch("What provider should we use?")
+        assert "Holographic Memory" in block
+        assert "mimo-v2-pro" in block
+
+        trace_payload = json.loads(provider.handle_tool_call("fact_store", {"action": "trace"}))
+        assert trace_payload["trace"]["query"] == "What provider should we use?"
+        assert trace_payload["trace"]["rerank_applied"] in {True, False}
+        assert trace_payload["trace"]["lane_hits"]["temporal"] >= 1