- 新增 set_timezone LLM 工具,支持通过对话设置时区 - 新增 set_timezone / timezone_show CLI 命令 - 默认时区从 PST 改为 CST-8(中国标准时间 UTC+8) - 支持 POSIX 格式和 18 个城市名映射(Asia/Shanghai 等) - 时区通过 NVS 持久化存储(system_config namespace) - config_show 中显示当前时区配置 - 更新 changelog.md 和 taolun.md 文档
23 KiB
MimiClaw Architecture
ESP32-S3 AI Agent firmware — C/FreeRTOS implementation running on bare metal (no Linux).
System Overview
Telegram App (User)
│
│ HTTPS Long Polling
│
▼
┌──────────────────────────────────────────────────┐
│ ESP32-S3 (MimiClaw) │
│ │
│ ┌─────────────┐ ┌──────────────────┐ │
│ │ Telegram │──────▶│ Inbound Queue │ │
│ │ Poller │ └────────┬─────────┘ │
│ │ (Core 0) │ │ │
│ └─────────────┘ ▼ │
│ ┌────────────────────────┐ │
│ ┌─────────────┐ │ Agent Loop │ │
│ │ WebSocket │─▶│ (Core 1) │ │
│ │ Server │ │ │ │
│ │ (:18789) │ │ Context ──▶ LLM Proxy │ │
│ └─────────────┘ │ Builder (HTTPS) │ │
│ │ ▲ │ │ │
│ ┌─────────────┐ │ │ tool_use? │ │
│ │ Serial CLI │ │ │ ▼ │ │
│ │ (Core 0) │ │ Tool Results ◀─ Tools │ │
│ └─────────────┘ │ (web_search)│ │
│ └──────────┬─────────────┘ │
│ │ │
│ ┌──────▼───────┐ │
│ │ Outbound Queue│ │
│ └──────┬───────┘ │
│ │ │
│ ┌──────▼───────┐ │
│ │ Outbound │ │
│ │ Dispatch │ │
│ │ (Core 0) │ │
│ └──┬────────┬──┘ │
│ │ │ │
│ Telegram WebSocket │
│ sendMessage send │
│ │
│ ┌──────────────────────────────────────────┐ │
│ │ SPIFFS (12 MB) │ │
│ │ /spiffs/config/ SOUL.md, USER.md │ │
│ │ /spiffs/memory/ MEMORY.md, YYYY-MM-DD │ │
│ │ /spiffs/sessions/ tg_<chat_id>.jsonl │ │
│ └──────────────────────────────────────────┘ │
└───────────────────────────────────────────────────┘
│
│ Anthropic Messages API (HTTPS)
│ + Brave Search API (HTTPS)
▼
┌───────────┐ ┌──────────────┐ ┌──────────────┐
│ Claude API │ │ Brave Search │ │ Tavily Search│
└───────────┘ └──────────────┘ └──────────────┘
│
┌───────────┐ ┌──────────────┐
│ OpenAI API │ │ SiliconFlow │
└───────────┘ └──────────────┘
│
┌───────────┐ ┌──────────────┐
│ Volcengine │ │ Feishu Bot │
└───────────┘ └──────────────┘
Data Flow
1. User sends message on Telegram (or WebSocket)
2. Channel poller receives message, wraps in mimi_msg_t
3. Message pushed to Inbound Queue (FreeRTOS xQueue)
4. Agent Loop (Core 1) pops message:
a. Load session history from SPIFFS (JSONL)
b. Build system prompt (SOUL.md + USER.md + MEMORY.md + recent notes + tool guidance)
c. Build cJSON messages array (history + current message)
d. ReAct loop (max 10 iterations):
i. Call Claude API via HTTPS (non-streaming, with tools array)
ii. Parse JSON response → text blocks + tool_use blocks
iii. If stop_reason == "tool_use":
- Execute each tool (e.g. web_search → Brave Search API)
- Append assistant content + tool_result to messages
- Continue loop
iv. If stop_reason == "end_turn": break with final text
e. Save user message + final assistant text to session file
f. Push response to Outbound Queue
5. Outbound Dispatch (Core 0) pops response:
a. Route by channel field ("telegram" → sendMessage, "websocket" → WS frame)
6. User receives reply
Module Map
main/
├── mimi.c Entry point — app_main() orchestrates init + startup
├── mimi_config.h All compile-time constants + build-time secrets include
├── mimi_secrets.h Build-time credentials (gitignored, highest priority)
├── mimi_secrets.h.example Template for mimi_secrets.h
│
├── bus/
│ ├── message_bus.h mimi_msg_t struct, queue API
│ └── message_bus.c Two FreeRTOS queues: inbound + outbound
│
├── wifi/
│ ├── wifi_manager.h WiFi STA lifecycle API
│ └── wifi_manager.c Event handler, exponential backoff (timer-based retry)
│
├── channels/
│ ├── telegram/
│ │ ├── telegram_bot.h Bot init/start, send_message API
│ │ └── telegram_bot.c Long polling loop, JSON parsing, message splitting
│ └── feishu/
│ ├── feishu_bot.h Feishu bot API
│ └── feishu_bot.c WebSocket event handling, message send/recv
│
├── llm/
│ ├── llm_proxy.h llm_chat() + llm_chat_tools() API, tool_use types
│ ├── llm_proxy.c Multi-provider LLM (Anthropic + OpenAI-compatible)
│ ├── llm_provider.h Provider registry + configuration API
│ └── llm_provider.c Provider configs: anthropic, openai, siliconflow, volcengine
│
├── agent/
│ ├── agent_loop.h Agent task init/start
│ ├── agent_loop.c ReAct loop: LLM call → tool execution → repeat
│ ├── context_builder.h System prompt + messages builder API
│ └── context_builder.c Reads bootstrap files + memory + tool guidance
│
├── tools/
│ ├── tool_registry.h Tool definition struct, register/dispatch API
│ ├── tool_registry.c Tool registration, JSON schema builder, dispatch by name
│ ├── tool_web_search.h Web search tool API (Tavily + Brave)
│ ├── tool_web_search.c Brave/Tavily Search API via HTTPS
│ ├── tool_get_time.h Time tool API
│ ├── tool_get_time.c HTTP Date header parsing for time sync
│ ├── tool_cron.h Cron tool API
│ ├── tool_cron.c Cron job management
│ ├── tool_files.h File tool API
│ ├── tool_files.c read/write/edit/list files on SPIFFS
│ ├── tool_gpio.h GPIO tool API
│ ├── tool_gpio.c GPIO read/write
│ └── gpio_policy.c GPIO pin allowlist policy
│
├── memory/
│ ├── memory_store.h Long-term + daily memory API
│ ├── memory_store.c MEMORY.md read/write, daily .md append/read
│ ├── session_mgr.h Per-chat session API
│ └── session_mgr.c JSONL session files, ring buffer history
│
├── gateway/
│ ├── ws_server.h WebSocket server API
│ └── ws_server.c ESP HTTP server with WS upgrade, client tracking
│
├── proxy/
│ ├── http_proxy.h Proxy connection API
│ └── http_proxy.c HTTP CONNECT tunnel + SOCKS5 tunnel + TLS
│
├── cli/
│ ├── serial_cli.h CLI init API
│ └── serial_cli.c esp_console REPL with debug/maintenance commands
│
├── cron/
│ ├── cron_service.h Cron job API
│ └── cron_service.c Cron scheduler, job persistence, execution
│
├── heartbeat/
│ ├── heartbeat.h Heartbeat API
│ └── heartbeat.c Periodic heartbeat messages
│
├── onboard/
│ ├── wifi_onboard.h WiFi onboarding portal API
│ ├── wifi_onboard.c Captive portal + Soft AP + HTTP config page
│ └── onboard_html.h Embedded HTML/CSS/JS for setup page
│
├── skills/
│ ├── skill_loader.h Skill loader API
│ └── skill_loader.c Load skill files from SPIFFS
│
└── ota/
├── ota_manager.h OTA update API
└── ota_manager.c esp_https_ota wrapper
FreeRTOS Task Layout
| Task | Core | Priority | Stack | Description |
|---|---|---|---|---|
tg_poll |
0 | 5 | 12 KB | Telegram long polling (30s timeout) |
feishu_ws |
0 | 5 | 12 KB | Feishu WebSocket event handling |
agent_loop |
1 | 6 | 24 KB | Message processing + LLM API call |
outbound |
0 | 5 | 12 KB | Route responses to channels |
serial_cli |
0 | 3 | 4 KB | USB serial console REPL |
onboard_dns |
0 | 5 | 4 KB | DNS hijack for captive portal |
cron_check |
0 | 4 | 4 KB | Cron job scheduler |
heartbeat |
0 | 4 | 4 KB | Periodic heartbeat |
| httpd (internal) | 0 | 5 | — | WebSocket server (esp_http_server) |
| wifi_event (IDF) | 0 | 8 | — | WiFi event handling (ESP-IDF) |
Core allocation strategy: Core 0 handles I/O (network, serial, WiFi). Core 1 is dedicated to the agent loop (CPU-bound JSON building + waiting on HTTPS).
Memory Budget
| Purpose | Location | Size |
|---|---|---|
| FreeRTOS task stacks | Internal SRAM | ~40 KB |
| WiFi buffers | Internal SRAM | ~30 KB |
| TLS connections x2 (Telegram + Claude) | PSRAM | ~120 KB |
| JSON parse buffers | PSRAM | ~32 KB |
| Session history cache | PSRAM | ~32 KB |
| System prompt buffer | PSRAM | ~16 KB |
| LLM response stream buffer | PSRAM | ~32 KB |
| Remaining available | PSRAM | ~7.7 MB |
Large buffers (32 KB+) are allocated from PSRAM via heap_caps_calloc(1, size, MALLOC_CAP_SPIRAM).
Flash Partition Layout
Offset Size Name Purpose
─────────────────────────────────────────────
0x009000 24 KB nvs ESP-IDF internal use (WiFi calibration etc.)
0x00F000 8 KB otadata OTA boot state
0x011000 4 KB phy_init WiFi PHY calibration
0x020000 2 MB ota_0 Firmware slot A
0x220000 2 MB ota_1 Firmware slot B
0x420000 12 MB spiffs Markdown memory, sessions, config
0xFF0000 64 KB coredump Crash dump storage
Total: 16 MB flash.
Storage Layout (SPIFFS)
SPIFFS is a flat filesystem — no real directories. Files use path-like names.
/spiffs/config/SOUL.md AI personality definition
/spiffs/config/USER.md User profile
/spiffs/memory/MEMORY.md Long-term persistent memory
/spiffs/memory/2026-02-05.md Daily notes (one file per day)
/spiffs/sessions/tg_12345.jsonl Session history (one file per Telegram chat)
Session files are JSONL (one JSON object per line):
{"role":"user","content":"Hello","ts":1738764800}
{"role":"assistant","content":"Hi there!","ts":1738764802}
Configuration
Configuration uses a multi-layer priority system:
Build-time (mimi_secrets.h)
Highest priority. Set in mimi_secrets.h (copy from mimi_secrets.h.example).
| Define | Description |
|---|---|
MIMI_SECRET_WIFI_SSID |
WiFi SSID |
MIMI_SECRET_WIFI_PASS |
WiFi password |
MIMI_SECRET_TG_TOKEN |
Telegram Bot API token |
MIMI_SECRET_FEISHU_APP_ID |
Feishu App ID |
MIMI_SECRET_FEISHU_APP_SECRET |
Feishu App Secret |
MIMI_SECRET_API_KEY |
Generic LLM API key (fallback) |
MIMI_SECRET_MODEL |
Model ID (default: claude-opus-4-5) |
MIMI_SECRET_MODEL_PROVIDER |
LLM provider: anthropic/openai/siliconflow/volcengine |
MIMI_SECRET_ANTHROPIC_API_KEY |
Anthropic-specific API key |
MIMI_SECRET_OPENAI_API_KEY |
OpenAI-specific API key |
MIMI_SECRET_SILICONFLOW_API_KEY |
SiliconFlow (硅基流动) API key |
MIMI_SECRET_SILICONFLOW_BASE_URL |
SiliconFlow Base URL |
MIMI_SECRET_VOLCENGINE_API_KEY |
Volcengine (火山引擎) API key |
MIMI_SECRET_VOLCENGINE_BASE_URL |
Volcengine Base URL |
MIMI_SECRET_PROXY_HOST |
HTTP proxy hostname/IP (optional) |
MIMI_SECRET_PROXY_PORT |
HTTP proxy port (optional) |
MIMI_SECRET_PROXY_TYPE |
Proxy type: http/socks5 |
MIMI_SECRET_SEARCH_KEY |
Brave Search API key (optional) |
MIMI_SECRET_TAVILY_KEY |
Tavily Search API key (optional) |
Runtime (NVS + Onboard Portal)
Set via serial CLI or the onboard configuration portal (192.168.4.1).
| CLI Command | Description |
|---|---|
wifi_set <SSID> <Password> |
Set WiFi credentials |
set_tg_token <Token> |
Set Telegram Bot token |
set_api_key <Key> |
Set generic LLM API key |
set_model_provider <Provider> |
Set provider: anthropic/openai/siliconflow/volcengine |
set_model <Model> |
Set model name |
set_siliconflow_key <Key> |
Set SiliconFlow-specific API key |
set_siliconflow_url <URL> |
Set SiliconFlow Base URL |
set_volcengine_key <Key> |
Set Volcengine-specific API key |
set_volcengine_url <URL> |
Set Volcengine Base URL |
config_show |
Show current config (masked) |
config_reset |
Reset to build-time defaults |
Priority Order (highest → lowest)
- NVS runtime config (CLI or onboard portal)
- Provider-specific NVS key (e.g.
siliconflow_api_key) - Provider-specific build-time config (e.g.
MIMI_SECRET_SILICONFLOW_API_KEY) - Generic build-time config (
MIMI_SECRET_API_KEY,MIMI_SECRET_MODEL_PROVIDER)
Supported LLM Providers
| Provider | API Compatible | Default Endpoint |
|---|---|---|
| anthropic | Anthropic | https://api.anthropic.com/v1/messages |
| openai | OpenAI | https://api.openai.com/v1/chat/completions |
| siliconflow | OpenAI | https://api.siliconflow.cn/v1/chat/completions |
| volcengine | OpenAI | https://ark.cn-beijing.volces.com/api/v3/chat/completions |
All OpenAI-compatible providers use Bearer token authentication and the same message format.
Message Bus Protocol
The internal message bus uses two FreeRTOS queues carrying mimi_msg_t:
typedef struct {
char channel[16]; // "telegram", "websocket", "cli"
char chat_id[32]; // Telegram chat ID or WS client ID
char *content; // Heap-allocated text (ownership transferred)
} mimi_msg_t;
- Inbound queue: channels → agent loop (depth: 8)
- Outbound queue: agent loop → dispatch → channels (depth: 8)
- Content string ownership is transferred on push; receiver must
free().
WebSocket Protocol
Port: 18789. Max clients: 4.
Client → Server:
{"type": "message", "content": "Hello", "chat_id": "ws_client1"}
Server → Client:
{"type": "response", "content": "Hi there!", "chat_id": "ws_client1"}
Client chat_id is auto-assigned on connection (ws_<fd>) but can be overridden in the first message.
Claude API Integration
Endpoint: POST https://api.anthropic.com/v1/messages
Request format (Anthropic-native, non-streaming, with tools):
{
"model": "claude-opus-4-6",
"max_tokens": 4096,
"system": "<system prompt>",
"tools": [
{
"name": "web_search",
"description": "Search the web for current information.",
"input_schema": {"type": "object", "properties": {"query": {"type": "string"}}, "required": ["query"]}
}
],
"messages": [
{"role": "user", "content": "Hello"},
{"role": "assistant", "content": "Hi!"},
{"role": "user", "content": "What's the weather today?"}
]
}
Key difference from OpenAI: system is a top-level field, not inside the messages array.
Non-streaming JSON response:
{
"id": "msg_xxx",
"type": "message",
"role": "assistant",
"content": [
{"type": "text", "text": "Let me search for that."},
{"type": "tool_use", "id": "toolu_xxx", "name": "web_search", "input": {"query": "weather today"}}
],
"stop_reason": "tool_use"
}
When stop_reason is "tool_use", the agent loop executes each tool and sends results back:
{"role": "assistant", "content": [<text + tool_use blocks>]}
{"role": "user", "content": [{"type": "tool_result", "tool_use_id": "toolu_xxx", "content": "..."}]}
The loop repeats until stop_reason is "end_turn" (max 10 iterations).
Startup Sequence
app_main()
├── init_nvs() NVS flash init (erase if corrupted)
├── esp_event_loop_create_default()
├── init_spiffs() Mount SPIFFS at /spiffs
├── message_bus_init() Create inbound + outbound queues
├── memory_store_init() Verify SPIFFS paths
├── session_mgr_init()
├── wifi_manager_init() Init WiFi STA mode + event handlers
├── http_proxy_init() Load proxy config from build-time secrets
├── telegram_bot_init() Load bot token from build-time secrets
├── llm_proxy_init() Load API key + model from build-time secrets
├── tool_registry_init() Register tools, build tools JSON
├── agent_loop_init()
├── serial_cli_init() Start REPL (works without WiFi)
│
├── wifi_manager_start() Connect using build-time credentials
│ └── wifi_manager_wait_connected(30s)
│
└── [if WiFi connected]
├── telegram_bot_start() Launch tg_poll task (Core 0)
├── agent_loop_start() Launch agent_loop task (Core 1)
├── ws_server_start() Start httpd on port 18789
└── outbound_dispatch task Launch outbound task (Core 0)
If WiFi credentials are missing or connection times out, the CLI remains available for diagnostics.
Serial CLI Commands
The CLI provides debug and maintenance commands only. All configuration is done via mimi_secrets.h.
| Command | Description |
|---|---|
wifi_status |
Show connection status and IP |
memory_read |
Print MEMORY.md contents |
memory_write <CONTENT> |
Overwrite MEMORY.md |
session_list |
List all session files |
session_clear <CHAT_ID> |
Delete a session file |
heap_info |
Show internal + PSRAM free bytes |
restart |
Reboot the device |
help |
List all available commands |
Nanobot Reference Mapping
| Nanobot Module | MimiClaw Equivalent | Notes |
|---|---|---|
agent/loop.py |
agent/agent_loop.c |
ReAct loop with tool use |
agent/context.py |
agent/context_builder.c |
Loads SOUL.md + USER.md + memory + tool guidance |
agent/memory.py |
memory/memory_store.c |
MEMORY.md + daily notes |
session/manager.py |
memory/session_mgr.c |
JSONL per chat, ring buffer |
channels/telegram.py |
telegram/telegram_bot.c |
Raw HTTP, no python-telegram-bot |
bus/events.py + queue.py |
bus/message_bus.c |
FreeRTOS queues vs asyncio |
providers/litellm_provider.py |
llm/llm_proxy.c |
Direct Anthropic API only |
config/schema.py |
mimi_config.h + mimi_secrets.h |
Build-time secrets only |
cli/commands.py |
cli/serial_cli.c |
esp_console REPL |
agent/tools/* |
tools/tool_registry.c + tool_web_search.c |
web_search via Brave API |
agent/subagent.py |
(not yet implemented) | See TODO.md |
agent/skills.py |
(not yet implemented) | See TODO.md |
cron/service.py |
(not yet implemented) | See TODO.md |
heartbeat/service.py |
(not yet implemented) | See TODO.md |