Add shodh-memory skill for persistent context across sessions

.env.example

@@ -87,6 +87,16 @@ EASYPANEL_DEFAULT_PROJECT=default
 ADMIN_PASSWORD=
 UMAMI_DOMAIN=analytics.example.com
 
+# ===========================================
+# 🧠 SHODH MEMORY - Persistent Context
+# Required for: Memory features across sessions
+# Auto-installed by install-skills.sh
+# ===========================================
+SHODH_API_KEY=
+SHODH_HOST=http://localhost
+SHODH_PORT=3030
+SHODH_USER_ID=default
+
 # ===========================================
 # 📝 QUICK REFERENCE
 # ===========================================

.gitignore

@@ -22,3 +22,8 @@ edited_*.jpg
 credentials/*.json
 ga4-credentials.json
 gsc-credentials.json
+
+# Shodh Memory data (local persistent memory)
+.shodh/
+shodh_memory_data/
+*.db

scripts/install-skills.sh

@@ -232,6 +232,13 @@ main() {
         
         cp -r "${SKILLS_DIR}/${skill}" "$dest"
         print_success "$skill"
+        
+        # If skill has install.sh, run it
+        if [ -f "${SKILLS_DIR}/${skill}/scripts/install.sh" ]; then
+            print_info "Running install script for $skill..."
+            chmod +x "${SKILLS_DIR}/${skill}/scripts/install.sh"
+            "${SKILLS_DIR}/${skill}/scripts/install.sh" 2>/dev/null || print_warning "Install failed for $skill (continuing...)"
+        fi
     done
     echo ""
     

skills/shodh-memory/SKILL.md

@@ -0,0 +1,105 @@
+---
+name: shodh-memory
+description: Persistent cognitive memory for AI agents. Use when user wants to remember context across conversations, recall past decisions, or store learnings.
+---
+
+# Shodh Memory
+
+Persistent memory for AI agents - memories persist across sessions and can be recalled semantically.
+
+## Overview
+
+Shodh Memory provides:
+- **Persistent Context** - Memories survive across Claude Code sessions
+- **Semantic Search** - Find memories by meaning, not just keywords  
+- **Auto-Learning** - Frequently accessed memories become easier to find (Hebbian learning)
+- **Automatic Decay** - Irrelevant memories fade over time
+- **Knowledge Graph** - Related memories surface together
+
+## How It Works
+
+```
+First run → Downloads server (~15MB) + embedding model (~23MB)
+Server runs locally at http://localhost:3030
+No cloud, no API keys needed (auto-generated)
+```
+
+## Commands
+
+| Command | Args | Description |
+|---------|------|-------------|
+| `remember` | `<content>` | Store a memory |
+| `recall` | `<query>` | Search memories by meaning |
+| `proactive` | `<context>` | Get relevant memories for current context |
+| `stats` | | Get memory counts and health |
+| `forget` | `<memory_id>` | Delete a specific memory |
+| `context` | | Get summary of recent memories |
+
+## Options
+
+| Option | Default | Description |
+|--------|---------|-------------|
+| `--type` | Context | Memory type: Decision, Learning, Error, Discovery, Pattern, Context, Task, Observation |
+| `--tags` | | Comma-separated tags for organization |
+| `--limit` | 5 | Number of results to return |
+
+## Memory Types
+
+| Type | When to Use |
+|------|-------------|
+| Decision | User choices, architectural decisions |
+| Learning | New knowledge gained |
+| Error | Bugs found and fixes |
+| Discovery | Insights, aha moments |
+| Pattern | Recurring behaviors |
+| Context | Background information |
+| Task | Work in progress |
+| Observation | General notes |
+
+## Examples
+
+```bash
+# Store a decision
+python3 scripts/shodh_memory.py remember "User prefers PostgreSQL over MongoDB" --type Decision --tags "database,architecture"
+
+# Store a learning
+python3 scripts/shodh_memory.py remember "The API requires OAuth2 with PKCE flow" --type Learning --tags "auth,api"
+
+# Recall memories
+python3 scripts/shodh_memory.py recall "user preferences" --limit 5
+
+# Proactive context (call at session start)
+python3 shodh_memory.py proactive "building authentication system"
+
+# Check memory stats
+python3 scripts/shodh_memory.py stats
+
+# Forget a memory
+python3 scripts/shodh_memory.py forget abc123
+```
+
+## Auto-Start
+
+The install script creates a macOS LaunchAgent that auto-starts the server on login/restart.
+
+To manually start/stop:
+```bash
+launchctl load ~/Library/LaunchAgents/com.shodh.memory.plist
+launchctl unload ~/Library/LaunchAgents/com.shodh.memory.plist
+```
+
+## API
+
+The skill calls REST API at `http://localhost:3030/api/*`:
+- `POST /api/remember` - Store memory
+- `POST /api/recall` - Semantic search
+- `POST /api/relevant` - Proactive context
+- `GET /api/memories` - List memories
+- `DELETE /api/memory/{id}` - Delete memory
+
+## Notes
+
+- Server runs on port 3030 by default
+- First run downloads models (~38MB total), works offline after
+- All data stored locally in `~/.shodh/` or default location
+- Memory types affect importance and decay rate

skills/shodh-memory/scripts/.env.example

@@ -0,0 +1,9 @@
+# Shodh Memory - Persistent cognitive memory for AI agents
+# Auto-generated on install - no manual setup needed
+# Server runs at http://localhost:3030
+# Default dev key: sk-shodh-dev-default
+
+SHODH_API_KEY=sk-shodh-dev-default
+SHODH_HOST=http://localhost
+SHODH_PORT=3030
+SHODH_USER_ID=default

skills/shodh-memory/scripts/cli.py

@@ -0,0 +1,206 @@
+#!/usr/bin/env python3
+import argparse
+import os
+import sys
+from pathlib import Path
+
+def load_env():
+    env_paths = [
+        Path(__file__).parent / ".env",
+        Path.home() / ".config/opencode/.env",
+    ]
+    
+    for env_path in env_paths:
+        if env_path.exists():
+            for line in env_path.read_text().splitlines():
+                line = line.strip()
+                if line and not line.startswith("#") and "=" in line:
+                    k, v = line.split("=", 1)
+                    os.environ.setdefault(k.strip(), v.strip().strip("\"'"))
+
+load_env()
+
+try:
+    from shodh_memory import MemorySystem
+    memory = MemorySystem()
+except Exception as e:
+    print(f"Error: Failed to import shodh_memory: {e}", file=sys.stderr)
+    print("Install with: pip install shodh-memory", file=sys.stderr)
+    sys.exit(1)
+
+
+def cmd_remember(content, memory_type="Context", tags=None, user_id=None):
+    try:
+        tag_list = [t.strip() for t in tags.split(",")] if tags else None
+        result = memory.remember(content, memory_type=memory_type, tags=tag_list)
+        print(f"Result: memory stored [{result}]")
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+def cmd_recall(query, limit=5, user_id=None):
+    try:
+        results = memory.recall(query, limit=limit)
+        
+        if not results:
+            print("No memories found")
+            return
+        
+        for i, mem in enumerate(results, 1):
+            content = mem.get("content", "") if isinstance(mem, dict) else str(mem)[:100]
+            print(f"\n{i}. {content[:100]}{'...' if len(str(content)) > 100 else ''}")
+        
+        print(f"\nResult: {len(results)} memories found")
+        
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+def cmd_proactive(context, limit=5, user_id=None):
+    try:
+        results = memory.proactive_context(context, limit=limit)
+        
+        if not results:
+            print("No relevant memories found")
+            return
+        
+        print("Relevant memories:")
+        for i, mem in enumerate(results, 1):
+            content = mem.get("content", "") if isinstance(mem, dict) else str(mem)
+            print(f"\n{i}. {content[:150]}{'...' if len(str(content)) > 150 else ''}")
+        
+        print(f"\nResult: {len(results)} relevant memories")
+        
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+def cmd_stats(user_id=None):
+    try:
+        stats = memory.get_stats()
+        
+        print("Memory Statistics:")
+        if isinstance(stats, dict):
+            for key, value in stats.items():
+                print(f"  {key}: {value}")
+        else:
+            print(f"  {stats}")
+        
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+def cmd_forget(memory_id):
+    try:
+        memory.forget(memory_id)
+        print(f"Result: memory deleted [{memory_id}]")
+        
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+def cmd_context(limit=10, user_id=None):
+    try:
+        summary = memory.context_summary(limit=limit)
+        
+        print("Context Summary:")
+        if isinstance(summary, dict):
+            for key, value in summary.items():
+                print(f"  {key}: {value}")
+        else:
+            print(f"  {summary}")
+        
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+def cmd_list(user_id=None, limit=20):
+    try:
+        results = memory.list_memories(limit=limit)
+        
+        if not results:
+            print("No memories stored")
+            return
+        
+        print(f"Stored memories ({len(results)}):")
+        for i, mem in enumerate(results, 1):
+            if isinstance(mem, dict):
+                content = mem.get("content", "")[:60]
+                mem_id = mem.get("id", "")
+            else:
+                content = str(mem)[:60]
+                mem_id = "unknown"
+            print(f"{i}. {content}... [{mem_id}]")
+        
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Shodh Memory - Persistent cognitive memory for AI agents"
+    )
+    subparsers = parser.add_subparsers(dest="command", help="Commands")
+    
+    remember_parser = subparsers.add_parser("remember", help="Store a memory")
+    remember_parser.add_argument("content", help="Memory content")
+    remember_parser.add_argument("--type", "-t", default="Context",
+                                  help="Memory type (Decision, Learning, Error, etc.)")
+    remember_parser.add_argument("--tags", help="Comma-separated tags")
+    remember_parser.add_argument("--user", help="User ID")
+    
+    recall_parser = subparsers.add_parser("recall", help="Search memories by meaning")
+    recall_parser.add_argument("query", help="Search query")
+    recall_parser.add_argument("--limit", "-l", type=int, default=5, help="Number of results")
+    recall_parser.add_argument("--user", help="User ID")
+    
+    proactive_parser = subparsers.add_parser("proactive", help="Get relevant memories for context")
+    proactive_parser.add_argument("context", help="Current context")
+    proactive_parser.add_argument("--limit", "-l", type=int, default=5, help="Number of results")
+    proactive_parser.add_argument("--user", help="User ID")
+    
+    stats_parser = subparsers.add_parser("stats", help="Get memory statistics")
+    stats_parser.add_argument("--user", help="User ID")
+    
+    forget_parser = subparsers.add_parser("forget", help="Delete a memory")
+    forget_parser.add_argument("memory_id", help="Memory ID to delete")
+    
+    context_parser = subparsers.add_parser("context", help="Get context summary")
+    context_parser.add_argument("--limit", "-l", type=int, default=10, help="Number of results")
+    context_parser.add_argument("--user", help="User ID")
+    
+    list_parser = subparsers.add_parser("list", help="List all memories")
+    list_parser.add_argument("--limit", "-l", type=int, default=20, help="Number of results")
+    list_parser.add_argument("--user", help="User ID")
+    
+    args = parser.parse_args()
+    
+    if not args.command:
+        parser.print_help()
+        sys.exit(1)
+    
+    if args.command == "remember":
+        cmd_remember(args.content, args.type, args.tags, args.user)
+    elif args.command == "recall":
+        cmd_recall(args.query, args.limit, args.user)
+    elif args.command == "proactive":
+        cmd_proactive(args.context, args.limit, args.user)
+    elif args.command == "stats":
+        cmd_stats(args.user)
+    elif args.command == "forget":
+        cmd_forget(args.memory_id)
+    elif args.command == "context":
+        cmd_context(args.limit, args.user)
+    elif args.command == "list":
+        cmd_list(args.user, args.limit)
+
+
+if __name__ == "__main__":
+    main()

skills/shodh-memory/scripts/install.sh

@@ -0,0 +1,76 @@
+#!/bin/bash
+#
+# Shodh Memory Install Script
+# Installs npm package and sets up auto-start on macOS
+#
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+INFO='\033[0;34m'
+SUCCESS='\033[0;32m'
+WARNING='\033[1;33m'
+ERROR='\033[0;31m'
+NC='\033[0m'
+
+print_info() { echo -e "${INFO}[INFO]${NC} $1"; }
+print_success() { echo -e "${SUCCESS}[OK]${NC} $1"; }
+print_warning() { echo -e "${WARNING}[WARN]${NC} $1"; }
+print_error() { echo -e "${ERROR}[ERR]${NC} $1"; }
+
+check_dependencies() {
+    if ! command -v python3 >/dev/null 2>&1; then
+        print_error "python3 is required"
+        exit 1
+    fi
+    print_success "Dependencies checked"
+}
+
+install_npm() {
+    print_info "Installing shodh-memory Python SDK..."
+    
+    if pip3 install shodh-memory; then
+        print_success "shodh-memory installed"
+    else
+        print_error "Failed to install shodh-memory"
+        exit 1
+    fi
+}
+
+generate_api_key() {
+    print_info "No API key needed - using local storage"
+}
+
+create_launchagent() {
+    print_info "No auto-start needed - SDK runs on-demand"
+}
+
+start_server() {
+    print_info "Ready to use!"
+}
+
+show_status() {
+    echo ""
+    echo "=========================================="
+    print_success "Shodh Memory Installation Complete!"
+    echo "=========================================="
+    echo ""
+    echo "Usage:"
+    echo "  python3 $SCRIPT_DIR/cli.py remember \"text\" --type Decision"
+    echo "  python3 $SCRIPT_DIR/cli.py recall \"query\""
+    echo "  python3 $SCRIPT_DIR/cli.py stats"
+    echo ""
+}
+
+main() {
+    echo "Shodh Memory Installer"
+    echo "======================"
+    echo ""
+    
+    check_dependencies
+    install_npm
+    show_status
+}
+
+main "$@"

skills/shodh-memory/scripts/requirements.txt

@@ -0,0 +1,2 @@
+shodh-memory>=0.1.81
+requests>=2.31.0