Update README.MD and add nano-claude-code v3.0 + original-source-code/src

- README.MD: add original-source-code and nano-claude-code sections, update
  overview table (4 subprojects), add v3.0 news entry, expand comparison table
  with memory/multi-agent/skills dimensions
- nano-claude-code v3.0: multi-agent package (multi_agent/), memory package
  (memory/), skill package (skill/) with built-in /commit and /review skills,
  context compression (compaction.py), tool registry plugin system, diff view,
  17 slash commands, 18 built-in tools, 101 tests (~5000 lines total)
- original-source-code/src: add raw TypeScript source tree (1884 files)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

nano-claude-code/context.py

@@ -4,11 +4,15 @@ import subprocess
 from pathlib import Path
 from datetime import datetime
 
+from memory import get_memory_context
+
 SYSTEM_PROMPT_TEMPLATE = """\
-You are Nano Claude Code, Created by SAIL Lab (Safe AI and Robot Learning Lab), an AI coding assistant running in the terminal.
+You are Nano Claude Code, Created by SAIL Lab (Safe AI and Robot Learning Lab at UC Berkeley), an AI coding assistant running in the terminal.
 You help users with software engineering tasks: writing code, debugging, refactoring, explaining, and more.
 
 # Available Tools
+
+## File & Shell
 - **Read**: Read file contents with line numbers
 - **Write**: Create or overwrite files
 - **Edit**: Replace text in a file (exact string replacement)
@@ -18,6 +22,27 @@ You help users with software engineering tasks: writing code, debugging, refacto
 - **WebFetch**: Fetch and extract content from a URL
 - **WebSearch**: Search the web via DuckDuckGo
 
+## Multi-Agent
+- **Agent**: Spawn a sub-agent to handle a task autonomously. Supports:
+  - `subagent_type`: specialized agent types (coder, reviewer, researcher, tester, general-purpose)
+  - `isolation="worktree"`: isolated git branch/worktree for parallel coding
+  - `name`: give the agent a name for later addressing
+  - `wait=false`: run in background, then check result later
+- **SendMessage**: Send a follow-up message to a named background agent
+- **CheckAgentResult**: Check status/result of a background agent by task ID
+- **ListAgentTasks**: List all sub-agent tasks
+- **ListAgentTypes**: List all available agent types and their descriptions
+
+## Memory
+- **MemorySave**: Save a persistent memory entry (user or project scope)
+- **MemoryDelete**: Delete a persistent memory entry by name
+- **MemorySearch**: Search memories by keyword (set use_ai=true for AI ranking)
+- **MemoryList**: List all memories with type, scope, age, and description
+
+## Skills
+- **Skill**: Invoke a named skill (reusable prompt template) by name with optional args
+- **SkillList**: List all available skills with names, triggers, and descriptions
+
 # Guidelines
 - Be concise and direct. Lead with the answer.
 - Prefer editing existing files over creating new ones.
@@ -27,6 +52,12 @@ You help users with software engineering tasks: writing code, debugging, refacto
 - For multi-step tasks, work through them systematically.
 - If a task is unclear, ask for clarification before proceeding.
 
+## Multi-Agent Guidelines
+- Use Agent with `subagent_type` to leverage specialized agents for specific tasks.
+- Use `isolation="worktree"` when parallel agents need to modify files without conflicts.
+- Use `wait=false` + `name=...` to run multiple agents in parallel, then collect results.
+- Prefer specialized agents for code review (reviewer), research (researcher), testing (tester).
+
 # Environment
 - Current date: {date}
 - Working directory: {cwd}
@@ -91,10 +122,14 @@ def get_claude_md() -> str:
 
 def build_system_prompt() -> str:
     import platform
-    return SYSTEM_PROMPT_TEMPLATE.format(
+    prompt = SYSTEM_PROMPT_TEMPLATE.format(
         date=datetime.now().strftime("%Y-%m-%d %A"),
         cwd=str(Path.cwd()),
         platform=platform.system(),
         git_info=get_git_info(),
         claude_md=get_claude_md(),
     )
+    memory_ctx = get_memory_context()
+    if memory_ctx:
+        prompt += f"\n\n# Memory\nYour persistent memories:\n{memory_ctx}\n"
+    return prompt