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NanoClaw Architecture Diagram

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NanoClaw Architecture Diagram

System Overview

mermaid
flowchart TB
  subgraph Platforms["Messaging Platforms"]
    P1[Discord]
    P2[Telegram]
    P3[Slack]
    P4[GitHub / Linear]
    P5[WhatsApp / iMessage / Teams / GChat / Matrix / Webex / Email]
  end

  subgraph Host["Host Process (Node)"]
    direction TB
    Bridge["Chat SDK Bridge
(src/channels/chat-sdk-bridge.ts)"]
    Router["Router
(src/router.ts)
platformId + threadId -> messaging_group -> agent_group -> session"]
    SessMgr["Session Manager
(src/session-manager.ts)
creates inbound.db + outbound.db"]
    Runner["Container Runner
(src/container-runner.ts)
OneCLI ensureAgent + spawn"]
    Delivery["Delivery Poller
(src/delivery.ts)
1s active / 60s sweep"]
    Sweep["Host Sweep
(src/host-sweep.ts)
heartbeat, retry, recurrence"]
    Central[("Central DB
data/v2.db
agent_groups
messaging_groups
messaging_group_agents
sessions
pending_approvals")]
  end

  subgraph OneCLI["OneCLI Gateway (0.3.1)"]
    Vault["Agent Vault
secrets + OAuth"]
    Approvals["configureManualApproval
-> pending_approvals"]
  end

  subgraph Session["Per-Session Container (Docker / Apple Container)"]
    direction TB
    PollLoop["Poll Loop
(container/agent-runner)"]
    Provider["Agent providers
(claude, opencode, mock; todo: codex)"]
    MCP["MCP Tools
send_message, send_file, edit_message,
add_reaction, send_card, ask_user_question,
schedule_task, create_agent,
install_packages, add_mcp_server"]
    Skills["Container Skills
(container/skills/)"]
    InDB[("inbound.db
host writes
even seq
messages_in
destinations
processing_ack")]
    OutDB[("outbound.db
container writes
odd seq
messages_out
heartbeat file")]
  end

  subgraph Groups["Agent Group Filesystem (groups/*)"]
    Folder["CLAUDE.md
memory
per-group skills
container_config"]
  end

  P1 & P2 & P3 & P4 & P5 --> Bridge
  Bridge --> Router
  Router --> Central
  Router --> SessMgr
  SessMgr --> InDB
  SessMgr --> Runner
  Runner --> OneCLI
  Runner --> PollLoop
  PollLoop --> InDB
  PollLoop --> Provider
  Provider --> MCP
  Provider --> Skills
  MCP --> OutDB
  OutDB --> Delivery
  Delivery --> Central
  Delivery --> Bridge
  Bridge --> P1 & P2 & P3 & P4 & P5
  Sweep --> InDB
  Sweep --> OutDB
  Sweep --> Central
  Runner -.mounts.-> Folder
  MCP -.approval.-> Approvals
  Approvals --> Central
  Provider -.API calls.-> Vault

Message Flow (inbound -> agent -> outbound)

mermaid
sequenceDiagram
  participant P as Platform (e.g. Telegram)
  participant B as Chat SDK Bridge
  participant R as Router
  participant SM as Session Manager
  participant IDB as inbound.db
  participant C as Container (agent-runner)
  participant ODB as outbound.db
  participant D as Delivery Poller

  P->>B: new message
  B->>R: routeInbound(platformId, threadId, msg)
  R->>R: resolve messaging_group -> agent_group -> session
(agent-shared | shared | per-thread)
  R->>SM: ensure session + DBs exist
  R->>IDB: INSERT messages_in (even seq)
  R->>C: wake container (docker run / already running)
  C->>IDB: poll messages_in
  C->>C: format xml, stream to selected provider
  C->>ODB: INSERT messages_out (odd seq)
parse <message to="name"> blocks
  D->>ODB: 1s poll (active) / 60s (sweep)
  D->>D: hasDestination() re-validate
  D->>B: deliver via adapter
  B->>P: send message / edit / react / file / card

Named Destinations + Agent-to-Agent

mermaid
flowchart LR
  subgraph AgentA["Agent Group A (main)"]
    A_out["output:
&lt;message to='slack'&gt;...&lt;/message&gt;
&lt;message to='browser-agent'&gt;...&lt;/message&gt;
&lt;internal&gt;scratchpad&lt;/internal&gt;"]
  end

  subgraph Dests["inbound.db.destinations (per agent)"]
    D1["slack -> messaging_group 42"]
    D2["browser-agent -> agent_group 7
(bidirectional row)"]
    D3["github -> messaging_group 13"]
  end

  subgraph AgentB["Agent Group B (browser sub-agent)"]
    B_session["own inbound.db / outbound.db
inherited destination back to A"]
  end

  Slack[Slack channel]
  GitHub[GitHub PR thread]

  A_out -->|parse + lookup| Dests
  D1 -->|deliver| Slack
  D2 -->|write to B's inbound.db| B_session
  D3 -->|deliver| GitHub
  B_session -.reply via 'parent'.-> Dests

Entity Model + Isolation Levels

mermaid
erDiagram
  agent_groups ||--o{ messaging_group_agents : wired
  messaging_groups ||--o{ messaging_group_agents : wired
  agent_groups ||--o{ sessions : runs
  messaging_groups ||--o{ sessions : context
  agent_groups ||--o{ agent_destinations : owns
  agent_groups ||--o{ pending_approvals : requests

  agent_groups {
    int id
    string name
    string folder
    string agent_provider
    json container_config
  }
  messaging_groups {
    int id
    string channel_type
    string platform_id
    string name
    bool is_group
    string unknown_sender_policy "strict | request_approval | public"
  }
  users {
    string id PK "namespaced <channel>:<handle>"
    string kind
    string display_name
  }
  user_roles {
    string user_id FK
    string role "owner | admin"
    string agent_group_id FK "null = global"
  }
  agent_group_members {
    string user_id FK
    string agent_group_id FK
  }
  user_dms {
    string user_id FK
    string channel_type
    string messaging_group_id FK
  }
  messaging_group_agents {
    int messaging_group_id
    int agent_group_id
    string session_mode "agent-shared | shared | per-thread"
    json trigger_rules
    int priority
  }
  sessions {
    int id
    int agent_group_id
    int messaging_group_id
    string sdk_session_id
    string status
  }

Isolation Level Cheatsheet

Levelsession_modeWhat's sharedExample
1. Shared sessionagent-sharedWorkspace + memory + conversationSlack + GitHub webhooks in one thread
2. Same agent, separate sessionsshared / per-threadWorkspace + memory onlyOne agent across 3 Telegram chats
3. Separate agent groups(different agent_group_id)NothingPersonal vs work channels

Two-DB Split (why)

mermaid
flowchart LR
  subgraph Mount["/workspace (volume mounted into container)"]
    In[("inbound.db")]
    Out[("outbound.db")]
    HB["/.heartbeat (file touch)"]
  end

  Host[Host process] -->|"writes only
(even seq)"| In
  Host -->|reads| Out
  Container[agent-runner] -->|reads| In
  Container -->|"writes only
(odd seq)"| Out
  Container -->|touch every poll| HB
  HostSweep[Host sweep] -->|stat mtime| HB
  HostSweep -->|reads processing_ack| In

  note1["Each file has exactly ONE writer.
Eliminates SQLite cross-process write contention.
Collision-free seq numbering."]