memocode 0.6.1

Personal AI coding agent with memory, tool execution, and safety controls

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  Mcode  —  Your local AI coding agent
  › /help for commands
  › Project: default  —  /project rename <name> to name this session
  › Model:   minimax  (MiniMax-M2.7)  —  /model to switch
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Personal AI coding agent CLI — persistent memory, tool execution, and safety controls.

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Features

Agentic loop	Native function calling, stuck detection, fully autonomous auto mode
Memory	4-layer cross-session memory with compression, recall, and Ebbinghaus forgetting
Projects	Multiple projects, each with isolated memory DB and working directory
Resource registry	Index local files by topic; reference them with @name in any message
Image support	Attach images via @path for multimodal turns with vision-capable models
Safety	Human / Auto / Bypass modes with zone checks, whitelists, and file backups
Extensible	Drop .py files into ~/.mcode/tools/ to add custom tools

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Installation

pip install memocode

On first run, ~/.mcode/agent.json is created. Add your model:

{
  "active_model": "gpt4o",
  "models": {
    "gpt4o": {
      "provider": "openai",
      "model": "gpt-4o",
      "api_key_env": "OPENAI_API_KEY",
      "context_window": 128000
    }
  }
}

export OPENAI_API_KEY=your_key_here
mcode

Any OpenAI-compatible endpoint works — OpenAI, Anthropic, DeepSeek, local models via vLLM/Ollama, etc. Multiple models can be defined and switched with /model.

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Quick Start

mcode                      # Start (auto-resumes last project)
mcode --project myapp      # Start with a specific project
mcode --verbose            # Show full tracebacks on errors

Type naturally. Use /help to see all commands.

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Slash Commands

Session

Command	Description
/help	Show all commands
/status	Show current settings
/end	End session and save to memory
/quit / /exit	Exit

Conversation

Command	Description
/btw <question>	Quick one-shot question — no memory, no tools
/undo	Undo last turn — restore files and/or rewind conversation
/rewind [N]	Rewind to turn N; /rewind 0 clears conversation
/rollback	Restore a specific backed-up file version
/history [N]	Show audit log

Auto mode

Command	Description
/auto [on|off]	Toggle autonomous mode
/auto whitelist [list|add|remove|reset]	Manage whitelisted shell commands
/template [example]	Show recommended task prompt template

Projects

Command	Description
/project new [name]	Create a new project
/project switch <name>	Switch to another project
/project list	List all projects
/project workdir [path]	Set working directory
/project rename [<old>] <new>	Rename a project
/project delete <name>	Delete a project

Memory

Command	Description
/memory	Show core memory (user profile)
/memory set <key> <value>	Write an entry
/memory del <key>	Delete an entry
/memory pin <key>	Pin an entry (never forgets)

Resources

Command	Description
/resource add [-r] <path|dir>	Register a file or directory (recursive with -r)
/resource search <query>	Search registered resources
/resource list	List all resources
/resource tree [path]	Directory tree view of all resources
/resource sync [name]	Re-classify changed files
/resource del <index|name>	Delete a resource
/resource watch	List watched directories
/resource unwatch <dir>	Stop watching a directory

Other

Command	Description
/model [name]	Show or switch LLM model
/tools	List all loaded tools
/safety [on|off]	Toggle safety bypass (DANGEROUS, session-only)
!<command>	Run a shell command directly (safety-checked)
@<path or name>	Attach a file or registered resource inline
@*<query>	Inject all resources matching a search query
@<dir>/	Inject a directory file listing
@<N>	Reference resource by global index number

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Memory System

mcode maintains four memory layers across sessions:

Layer	Scope	Contents
Core memory	Global	User traits: interaction style, delegation preference
Project memory	Per-project	Decisions, architecture, conventions, progress
Recent memory	Per-project	Compressed summaries of past sessions
Session history	Per-project	Current session verbatim; older turns compressed in-place

Recall — Recent summaries are injected every turn (newest-first, 4k token cap) with timestamps. memory_search is called automatically when context is missing. Core and project memory are always in the system prefix (prompt-cache eligible).

Compression — When context reaches 50% of context_window, old turns are summarised with explicit markers (Rejected X — reason, Changed from X to Y — reason) so negations and reversals remain retrievable. Mode is auto-detected: plan mode for conversations without code (preserves dates, values, identifiers), code mode for code-heavy sessions (focuses on decisions and rationale).

Forgetting — Core memory decays via the Ebbinghaus curve. Frequently confirmed traits resist forgetting; entries never reinforced eventually fade below threshold and are dropped. Project memory does not decay.

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Resource Registry

Register local files once; reference them by name from any message.

/resource add ~/Documents/specs      # register a directory (also auto-watches for new files)
/resource add -r ~/Documents         # recursive
/resource search kubernetes          # find by keyword

After searching, reference a result directly in your message:

@API设计规范 根据规范帮我 review 这段代码

The file content is injected automatically — no copy-paste needed. New files added to a watched directory are auto-registered on the next startup.

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Auto Mode

Auto mode runs the agent fully autonomously — no confirmation prompts, hard sandbox boundaries (whitelist-only shell commands, writes restricted to work_dir).

Enable with /auto on, then use /template for the recommended task structure:

Task: <one-line goal>
Context: work_dir, language/framework, entry point
Acceptance criteria: 1) ... 2) ... 3) ...
Constraints: do NOT modify <files>
Verify by running: <test command>

---

Safety Modes

Mode	Behavior
Human (default)	Prompts before risky ops; backs up files before destructive edits
Auto (/auto on)	No prompts; blocks non-whitelisted commands and out-of-work_dir writes
Bypass (/safety off)	Skips all checks; session-only; requires typing yes to confirm

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Built-in Tools

Tool	Description
shell_exec	Run shell commands with streaming output
file_read	Read file with optional pagination
file_write	Write or append to a file
file_edit	Targeted string replacement
glob	Find files by pattern (**/*.py)
grep	Search file content by regex
web_fetch	Fetch a URL — GET/POST/PUT/PATCH/DELETE, custom headers, JSON body
web_search	Search the web via DuckDuckGo — no API key required
pdf_read	Extract text from PDF files
excel_read	Read Excel / CSV files as formatted table
excel_write	Write data to Excel / CSV files
calc	Safe arithmetic evaluator
memory_search	Search past session summaries
activity_log_query	Query recent activity log
project_query	Read structured project memory

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Custom Tools

Drop a .py file in ~/.mcode/tools/:

from tools.registry import Tool, ToolSchema

def _my_tool(param: str) -> str:
    return f"result: {param}"

MY_TOOL = Tool(
    schema=ToolSchema(
        name="my_tool",
        description="Description shown to the model",
        parameters={
            "type": "object",
            "properties": {"param": {"type": "string"}},
            "required": ["param"],
        },
    ),
    fn=_my_tool,
)

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Project Structure

mcode/
├── run.py                       # CLI entry point (~1035 lines)
├── cmds/                        # Slash command handlers
│   ├── memory.py                # /memory
│   ├── tasks.py                 # /tasks
│   ├── rewind.py                # /rewind, /context
│   ├── email.py                 # /email
│   ├── project.py               # /project
│   ├── resource.py              # /resource
│   ├── at_expand.py             # @mention expansion
│   └── _utils.py                # shared utilities
├── control/
│   ├── brain.py                 # Agent loop, tool dispatch, safety
│   ├── llm.py                   # LLM adapter (OpenAI-compatible + Anthropic)
│   ├── project_manager.py       # Project registry
│   ├── audit.py                 # Audit log
│   ├── resources/               # Local resource registry
│   │   ├── manager.py           # ResourceManager
│   │   ├── db.py                # SQLite storage + BM25 search
│   │   └── scanner.py           # File content extraction
│   └── chatmem/                 # Memory system
│       ├── context_manager.py   # History, compression, injection
│       ├── compressor.py        # LLM-based summarization
│       └── memory/
│           ├── core_memory.py   # User traits (global, Ebbinghaus forgetting)
│           ├── recent_memory.py # Cross-session summaries (per-project)
│           ├── consolidation.py # Pattern extraction → core memory
│           └── forgetting.py    # Decay engine
├── tools/
│   ├── file.py                  # file_read/write/edit, glob, grep
│   ├── shell.py                 # shell_exec
│   ├── web.py                   # web_fetch, web_search
│   ├── calc.py                  # safe arithmetic evaluator
│   └── registry.py              # Tool registry + loader
└── safety/
    ├── safety.py                # Zone checks, auto mode rules
    ├── backup.py                # File backup
    └── policy.py                # Persistent always-allow policies

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License

Apache License 2.0 — see LICENSE.