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4 changed files with 1148 additions and 3 deletions

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@@ -1,6 +1,597 @@
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{
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{
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{
"fact": "Error encountered with file: crons.py",
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{
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{
"fact": "Error encountered with file: job.get",
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{
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{
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{
"fact": "Error encountered with file: job.ge",
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{
"fact": "Error encountered with file: cron/scheduler.py",
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{
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{
"fact": "Error encountered with file: concurrent.future",
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{
"fact": "Error encountered with file: 0.0",
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{
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_mjbblg0z/script.py",
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{
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_u2ngkm60/script.py",
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"fact": "Error encountered with file: 3.12",
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"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.482629+00:00",
"harvested_at": "2026-04-14T18:04:45.484209+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: forge.alexanderwhitestone",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.482645+00:00",
"harvested_at": "2026-04-14T18:04:45.484210+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Successful command pattern: git restore --staged ",
"category": "pattern",
"repo": "global",
"confidence": 0.6,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483301+00:00",
"harvested_at": "2026-04-14T18:04:45.484211+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: ntests/test_repo_truth.py",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483472+00:00",
"harvested_at": "2026-04-14T18:04:45.484211+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Successful command pattern: git restore --staged ",
"category": "pattern",
"repo": "global",
"confidence": 0.6,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483479+00:00",
"harvested_at": "2026-04-14T18:04:45.484212+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: 300.02",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483596+00:00",
"harvested_at": "2026-04-14T18:04:45.484213+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Successful command pattern: git restore --staged ",
"category": "pattern",
"repo": "global",
"confidence": 0.6,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483603+00:00",
"harvested_at": "2026-04-14T18:04:45.484213+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Successful command pattern: git restore --staged ",
"category": "pattern",
"repo": "global",
"confidence": 0.6,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483697+00:00",
"harvested_at": "2026-04-14T18:04:45.484214+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: 300.37",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483785+00:00",
"harvested_at": "2026-04-14T18:04:45.484215+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_2k0n79t8/script.py",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483792+00:00",
"harvested_at": "2026-04-14T18:04:45.484216+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: 300.19",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483864+00:00",
"harvested_at": "2026-04-14T18:04:45.484216+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: /private/var/folders/9k/v07xkpp133v03yynn9nx80fr0000gn/T/hermes_sandbox_qxzsy_kv/script.py",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483919+00:00",
"harvested_at": "2026-04-14T18:04:45.484217+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: CreateIssueOption.Labels",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483930+00:00",
"harvested_at": "2026-04-14T18:04:45.484218+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
},
{
"fact": "Error encountered with file: verify_triage_status.py",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": "20260413_181734_aed35b",
"extracted_at": "2026-04-14T18:04:45.483963+00:00",
"harvested_at": "2026-04-14T18:04:45.484218+00:00",
"session_path": "/Users/apayne/.hermes/sessions/session_20260413_181734_aed35b.json"
}
]
}

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#!/usr/bin/env python3
"""
Session Harvester for Compounding Intelligence.
Extracts durable knowledge from completed sessions and updates the knowledge store.
"""
import json
import os
import sys
import logging
from datetime import datetime, timezone, timedelta
from pathlib import Path
from typing import List, Dict, Any, Optional
# Add parent directory to path for imports
sys.path.insert(0, str(Path(__file__).parent))
from session_reader import SessionReader
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(Path(__file__).parent.parent / 'metrics' / 'harvester.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
class KnowledgeHarvester:
"""Extracts knowledge from completed sessions."""
def __init__(self, repo_root: str = None):
"""Initialize the harvester."""
if repo_root is None:
repo_root = str(Path(__file__).parent.parent)
self.repo_root = Path(repo_root)
self.knowledge_dir = self.repo_root / "knowledge"
self.index_path = self.knowledge_dir / "index.json"
self.prompt_path = self.repo_root / "templates" / "harvest-prompt.md"
# Load or create knowledge index
self.index = self._load_index()
# Initialize session reader
self.reader = SessionReader()
# Harvest state file
self.state_path = self.knowledge_dir / "harvest_state.json"
self.state = self._load_state()
def _load_index(self) -> Dict[str, Any]:
"""Load or create the knowledge index."""
if self.index_path.exists():
with open(self.index_path, 'r') as f:
return json.load(f)
else:
return {
"version": 1,
"last_updated": datetime.now(timezone.utc).isoformat(),
"total_facts": 0,
"facts": []
}
def _save_index(self):
"""Save the knowledge index."""
self.index["last_updated"] = datetime.now(timezone.utc).isoformat()
with open(self.index_path, 'w') as f:
json.dump(self.index, f, indent=2)
def _load_state(self) -> Dict[str, Any]:
"""Load harvest state."""
if self.state_path.exists():
with open(self.state_path, 'r') as f:
return json.load(f)
else:
return {
"last_harvest": None,
"harvested_sessions": [],
"total_sessions_processed": 0,
"total_facts_extracted": 0
}
def _save_state(self):
"""Save harvest state."""
with open(self.state_path, 'w') as f:
json.dump(self.state, f, indent=2)
def get_sessions_to_harvest(self, max_age_hours: float = 24) -> List[Dict[str, Any]]:
"""
Get sessions that need harvesting.
Args:
max_age_hours: Only harvest sessions modified within this many hours
Returns:
List of session data dictionaries
"""
# Get sessions modified since last harvest
since = None
if self.state["last_harvest"]:
try:
since = datetime.fromisoformat(self.state["last_harvest"].replace('Z', '+00:00'))
except (ValueError, AttributeError):
pass
# If no last harvest, use max_age_hours
if since is None:
since = datetime.now(timezone.utc) - timedelta(hours=max_age_hours)
# Get recent sessions
sessions = self.reader.list_sessions(since=since)
# Filter out already harvested sessions
harvested = set(self.state["harvested_sessions"])
to_harvest = []
for path in sessions:
session = self.reader.read_session(path)
if "error" in session:
logger.warning(f"Error reading session {path}: {session['error']}")
continue
# Skip if already harvested
if session["session_id"] in harvested:
continue
# Skip if session is still active
if not self.reader.is_session_complete(session):
continue
to_harvest.append(session)
return to_harvest
def extract_knowledge_from_session(self, session: Dict[str, Any]) -> List[Dict[str, Any]]:
"""
Extract knowledge from a single session.
This is a simplified extraction that looks for patterns in the session.
In a full implementation, this would use an LLM with the harvest prompt.
Args:
session: Session data dictionary
Returns:
List of extracted knowledge items
"""
knowledge_items = []
# Get messages from session
messages = session.get("messages", [])
# Simple pattern-based extraction
for i, msg in enumerate(messages):
if not isinstance(msg, dict):
continue
role = msg.get("role", "")
content = msg.get("content", "")
if not content or not isinstance(content, str):
continue
# Look for error patterns
if "error" in content.lower() or "Error" in content:
# Extract error context
context = content[:200] # First 200 chars
# Look for file paths
import re
file_paths = re.findall(r'[~/.]?[\w/]+\.\w+', context)
if file_paths:
knowledge_items.append({
"fact": f"Error encountered with file: {file_paths[0]}",
"category": "pitfall",
"repo": "global",
"confidence": 0.7,
"session_id": session["session_id"],
"extracted_at": datetime.now(timezone.utc).isoformat()
})
# Look for successful patterns
if "success" in content.lower() or "Success" in content:
# Extract success context
context = content[:200]
# Look for commands or actions
import re
commands = re.findall(r'(?:git|npm|pip|python|curl|ssh)\s+[\w\s\-\.]+', context)
if commands:
knowledge_items.append({
"fact": f"Successful command pattern: {commands[0]}",
"category": "pattern",
"repo": "global",
"confidence": 0.6,
"session_id": session["session_id"],
"extracted_at": datetime.now(timezone.utc).isoformat()
})
return knowledge_items
def harvest_session(self, session: Dict[str, Any]) -> Dict[str, Any]:
"""
Harvest knowledge from a single session.
Args:
session: Session data dictionary
Returns:
Harvest result dictionary
"""
session_id = session["session_id"]
logger.info(f"Harvesting session: {session_id}")
try:
# Extract knowledge
knowledge_items = self.extract_knowledge_from_session(session)
# Add to index
for item in knowledge_items:
# Add metadata
item["harvested_at"] = datetime.now(timezone.utc).isoformat()
item["session_path"] = session.get("path", "")
# Add to facts
self.index["facts"].append(item)
# Update state
self.state["harvested_sessions"].append(session_id)
self.state["total_sessions_processed"] += 1
self.state["total_facts_extracted"] += len(knowledge_items)
result = {
"session_id": session_id,
"success": True,
"facts_extracted": len(knowledge_items),
"knowledge_items": knowledge_items
}
logger.info(f"Extracted {len(knowledge_items)} facts from session {session_id}")
except Exception as e:
logger.error(f"Error harvesting session {session_id}: {e}")
result = {
"session_id": session_id,
"success": False,
"error": str(e),
"facts_extracted": 0
}
return result
def harvest_batch(self, max_sessions: int = 10, max_age_hours: float = 24) -> Dict[str, Any]:
"""
Harvest a batch of sessions.
Args:
max_sessions: Maximum number of sessions to harvest
max_age_hours: Only harvest sessions modified within this many hours
Returns:
Batch harvest result
"""
logger.info(f"Starting harvest batch (max {max_sessions} sessions, max age {max_age_hours}h)")
# Get sessions to harvest
sessions = self.get_sessions_to_harvest(max_age_hours)
if not sessions:
logger.info("No sessions to harvest")
return {
"success": True,
"sessions_processed": 0,
"facts_extracted": 0,
"results": []
}
# Limit to max_sessions
sessions = sessions[:max_sessions]
results = []
total_facts = 0
for session in sessions:
result = self.harvest_session(session)
results.append(result)
if result["success"]:
total_facts += result["facts_extracted"]
# Update index and state
self.index["total_facts"] = len(self.index["facts"])
self._save_index()
self.state["last_harvest"] = datetime.now(timezone.utc).isoformat()
self._save_state()
batch_result = {
"success": True,
"sessions_processed": len(sessions),
"facts_extracted": total_facts,
"results": results,
"timestamp": datetime.now(timezone.utc).isoformat()
}
logger.info(f"Harvest batch complete: {len(sessions)} sessions, {total_facts} facts")
return batch_result
def main():
"""Main entry point for the harvester."""
import argparse
parser = argparse.ArgumentParser(description="Harvest knowledge from completed sessions")
parser.add_argument("--max-sessions", type=int, default=10, help="Maximum sessions to harvest")
parser.add_argument("--max-age-hours", type=float, default=24, help="Max age in hours")
parser.add_argument("--dry-run", action="store_true", help="Don't save, just report")
args = parser.parse_args()
harvester = KnowledgeHarvester()
if args.dry_run:
sessions = harvester.get_sessions_to_harvest(args.max_age_hours)
print(f"Would harvest {len(sessions)} sessions:")
for session in sessions[:5]: # Show first 5
print(f" - {session['session_id']} ({session['message_count']} messages)")
if len(sessions) > 5:
print(f" ... and {len(sessions) - 5} more")
return
result = harvester.harvest_batch(
max_sessions=args.max_sessions,
max_age_hours=args.max_age_hours
)
if result["success"]:
print(f"Harvest complete: {result['sessions_processed']} sessions, {result['facts_extracted']} facts")
else:
print(f"Harvest failed: {result.get('error', 'Unknown error')}")
sys.exit(1)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
Session reader for Compounding Intelligence.
Reads and parses Hermes session files from ~/.hermes/sessions/.
"""
import json
import os
from datetime import datetime, timezone
from pathlib import Path
from typing import List, Dict, Any, Optional
class SessionReader:
"""Reads and parses Hermes session files."""
def __init__(self, sessions_dir: str = None):
"""Initialize with sessions directory path."""
if sessions_dir is None:
sessions_dir = os.path.expanduser("~/.hermes/sessions")
self.sessions_dir = Path(sessions_dir)
self.supported_extensions = {'.json', '.jsonl'}
def list_sessions(self, since: Optional[datetime] = None, limit: int = None) -> List[Path]:
"""
List session files, optionally filtered by modification time.
Args:
since: Only return sessions modified after this datetime
limit: Maximum number of sessions to return
Returns:
List of Path objects to session files
"""
if not self.sessions_dir.exists():
return []
sessions = []
for f in self.sessions_dir.iterdir():
if f.suffix in self.supported_extensions:
if since is not None:
mtime = datetime.fromtimestamp(f.stat().st_mtime, tz=timezone.utc)
if mtime <= since:
continue
sessions.append(f)
# Sort by modification time (newest first)
sessions.sort(key=lambda p: p.stat().st_mtime, reverse=True)
if limit:
sessions = sessions[:limit]
return sessions
def read_session(self, path: Path) -> Dict[str, Any]:
"""
Read a session file and return structured data.
Args:
path: Path to session file
Returns:
Dictionary with session data
"""
try:
if path.suffix == '.jsonl':
return self._read_jsonl_session(path)
elif path.suffix == '.json':
return self._read_json_session(path)
else:
return {"error": f"Unsupported format: {path.suffix}"}
except Exception as e:
return {"error": str(e), "path": str(path)}
def _read_json_session(self, path: Path) -> Dict[str, Any]:
"""Read a JSON format session file."""
with open(path, 'r') as f:
data = json.load(f)
return {
"session_id": data.get("session_id", path.stem),
"model": data.get("model", "unknown"),
"created_at": data.get("session_start"),
"last_updated": data.get("last_updated"),
"message_count": data.get("message_count", len(data.get("messages", []))),
"messages": data.get("messages", []),
"path": str(path),
"format": "json"
}
def _read_jsonl_session(self, path: Path) -> Dict[str, Any]:
"""Read a JSONL format session file."""
messages = []
session_meta = None
with open(path, 'r') as f:
for line in f:
line = line.strip()
if not line:
continue
try:
entry = json.loads(line)
if entry.get("role") == "session_meta":
session_meta = entry
else:
messages.append(entry)
except json.JSONDecodeError:
continue
session_id = path.stem
if session_meta:
session_id = session_meta.get("session_id", session_id)
return {
"session_id": session_id,
"model": session_meta.get("model", "unknown") if session_meta else "unknown",
"created_at": session_meta.get("timestamp") if session_meta else None,
"last_updated": messages[-1].get("timestamp") if messages else None,
"message_count": len(messages),
"messages": messages,
"path": str(path),
"format": "jsonl",
"meta": session_meta
}
def get_session_age_hours(self, session_data: Dict[str, Any]) -> float:
"""Get session age in hours."""
last_updated = session_data.get("last_updated")
if not last_updated:
return float('inf')
try:
if isinstance(last_updated, str):
# Handle various timestamp formats
for fmt in [
"%Y-%m-%dT%H:%M:%S.%fZ",
"%Y-%m-%dT%H:%M:%SZ",
"%Y-%m-%dT%H:%M:%S.%f",
"%Y-%m-%dT%H:%M:%S"
]:
try:
dt = datetime.strptime(last_updated, fmt)
dt = dt.replace(tzinfo=timezone.utc)
break
except ValueError:
continue
else:
# Try parsing with fromisoformat
dt = datetime.fromisoformat(last_updated.replace('Z', '+00:00'))
else:
dt = last_updated
now = datetime.now(timezone.utc)
age = now - dt
return age.total_seconds() / 3600
except Exception:
return float('inf')
def is_session_complete(self, session_data: Dict[str, Any]) -> bool:
"""
Check if a session appears to be complete (not actively running).
Heuristic: If last update was more than 5 minutes ago, consider it complete.
"""
age_hours = self.get_session_age_hours(session_data)
return age_hours > (5 / 60) # 5 minutes
def main():
"""Test the session reader."""
reader = SessionReader()
# List recent sessions
sessions = reader.list_sessions(limit=5)
print(f"Found {len(sessions)} recent sessions")
for path in sessions:
session = reader.read_session(path)
if "error" in session:
print(f"Error reading {path}: {session['error']}")
continue
age_hours = reader.get_session_age_hours(session)
complete = reader.is_session_complete(session)
print(f"\nSession: {session['session_id']}")
print(f" Model: {session['model']}")
print(f" Messages: {session['message_count']}")
print(f" Age: {age_hours:.1f} hours")
print(f" Complete: {complete}")
if __name__ == "__main__":
main()