skchat-sovereign 0.13.10

AI-native encrypted P2P chat — sovereign communication for humans and AI

skchat — AI-Native Encrypted Chat 🐧

Chat should be sovereign — and your AI should be in the room. Text, voice, and files between humans and AI agents, end-to-end PGP-encrypted, carried over your own transports, identified by your own keys. No SaaS, no bolted-on chatbot — the AI is a first-class participant with its own identity.

skchat is the chat experience of the SKWorld sovereign agent ecosystem — the human-and-AI conversation surface that sits on top of skcomms (transport) and capauth (identity). It is a single Python package (skchat-sovereign) that ships a CLI, a Textual TUI, a Web UI, a systemd daemon, and an MCP server so agents running inside Claude Code / Cursor / any MCP host can send, receive, react, call, and transfer files as native tools.

The core idea: a message is composed locally, persisted to a local SQLite history, PGP-signed/encrypted, and handed to SKComm for delivery over whichever transport is healthy. When a message @mentions an agent, the AdvocacyEngine routes it into the live skcapstone consciousness loop and replies in-thread — so the AI answers for itself, in the same conversation, not through a separate bot.

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The 60-second version

flowchart LR
    YOU["you type<br/>(CLI · TUI · WebUI · MCP)"] --> DAEMON["skchat daemon<br/>compose · persist · route"]
    DAEMON -->|"PGP sign/encrypt"| TX["ChatTransport"]
    TX -->|"hand to SKComm"| COMMS["skcomms<br/>(transport · failover)"]
    COMMS --> PEER["a peer or group<br/>(human or AI)"]
    DAEMON -->|"@mention an agent"| ADV["AdvocacyEngine"]
    ADV -->|"consciousness loop"| AI["the agent replies<br/>in-thread"]
    DAEMON --> HIST["ChatHistory<br/>(local SQLite)"]

Everything is local-first: messages live in ~/.skchat, voice (Piper TTS + Whisper STT) runs on-device, and identity is your own PGP key — that is the "sovereign" part.

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Quickstart

skchat installs into the shared ~/.skenv venv like every other sk* package.

pip install -e .                      # PyPI name: skchat-sovereign
# entry points: skchat (CLI) · skchat-mcp (MCP server) · skchat-tui (TUI)

skchat status                         # identity, transport health, message counts
skchat send lumina "deploy complete"  # DM a peer by short name or full URI
skchat inbox --watch                  # live-updating inbox
skchat chat lumina                    # interactive session
skchat tui                            # full-screen Textual UI

Groups, voice, and files use the same CLI:

skchat group create "Sovereign Squad" -d "core team"
skchat group send <group_id> "standup time"
skchat voice                          # record → Whisper STT → send
skchat send-file lumina ./blueprint.md
skchat react <message_id> 👍

Run as a managed service (preferred — do not skchat daemon start by hand, which spawns a second unmanaged daemon):

systemctl --user restart skchat-daemon.service
journalctl --user -u skchat-daemon -f

Identity resolves agent-aware from SKAGENT (→ capauth:<agent>@skworld.io); no SKCHAT_IDENTITY pin is required. See docs/ARCHITECTURE.md for the full request lifecycle and module map.

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What's in the box

Piece	Module	What it does
CLI	cli.py	skchat — send/reply/inbox/history/threads/search/chat/group/voice/file/react/status
MCP server	mcp_server.py	FastMCP server — exposes the full feature set as agent tools (messaging, groups, threads, reactions, presence, files, voice, WebRTC, memory)
TUI / WebUI	tui.py, webui.py	Textual full-screen UI (skchat-tui) + browser UI / voice-chat server
Daemon	daemon.py, _daemon_entry.py, watchdog.py	Polling receive loop; spawns advocacy + WebRTC init; health endpoint; watchdog
AI advocacy	advocacy.py	Detects @opus/@claude/@ai, calls the skcapstone consciousness loop, replies in-thread
Transport	transport.py, agent_comm.py, outbox.py	Send/receive over SKComm; reliable outbox with retry/backoff
History	history.py, encrypted_store.py, ephemeral.py	Persistent SQLite store; AES-encrypted store; ephemeral (TTL) channels
Groups	group.py, reactions.py	Encrypted group chat, roles, key rotation; emoji reactions
Identity	identity_bridge.py, agent_profile.py, peer_discovery.py	Delegates to canonical capauth.resolve_agent_identity; loads peers from ~/.skcapstone/peers/
Crypto	crypto.py, plugins_skseal.py	PGP sign/verify (PGPy); SKSeal encryption plugin
Voice	voice.py, voice_stream.py, voice_backends.py, facetime.py, livekit_routes.py	Piper TTS + Whisper STT (local); WebRTC P2P + LiveKit SFU for group calls
Memory	memory_bridge.py	Forwards chat threads to skcapstone memory (session_capture)
Plugins	plugins.py, plugins_builtin.py	Plugin loader + built-ins; file-type / pattern / command triggers
Integration	integration.py	Optional skcapstone backbone — routes alerts to sk-alert, registers the outbox-flush sweep with skscheduler (default-on-by-presence)

Two modes of operation

• Secured — full CapAuth identity, AI advocate active, every message PGP-encrypted and every file capability-gated.
• Standalone — skchat runs fully on its own (PGP keys only). When the optional skcapstone extra is present it lights up advocacy, the sk-alert bus, and the skscheduler outbox sweep; when absent, every call degrades gracefully to local logging / notify-send and the daemon's own loop.

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Where it lives in SKStack v2

skchat is a comms capability. It is a thin, opinionated experience layer: it owns conversation, presence, advocacy, and the UIs — and delegates the hard parts to dedicated ports. Transport is skcomms, identity is capauth, and the agent reasoning behind @mention advocacy comes from the skcapstone consciousness loop (skmodel-backed). It reuses two shared platform primitives — sk-alert and skscheduler — only when skcapstone is present.

flowchart TD
    OP["operator / agent"] -->|"skchat send · skchat-mcp · TUI"| SKCHAT

    subgraph COMMS["Comms"]
      SKCHAT["**skchat**<br/>conversation · groups · presence<br/>AI advocacy · voice · MCP tools"]
      SKCOMMS["skcomms<br/>(transport · PGP · failover)"]
      SKVOICE["skvoice<br/>(Piper TTS · Whisper STT)"]
    end
    subgraph CORE["Core"]
      CAPAUTH["capauth<br/>(identity — resolve_agent_identity)"]
      SKMEMORY["skmemory<br/>(thread capture)"]
    end
    subgraph COMPUTE["Compute"]
      SKMODEL["skmodel (ollama)<br/>(advocacy reasoning)"]
    end
    subgraph PLATFORM["Platform primitives skchat reuses"]
      ALERT["sk-alert bus<br/>(when skcapstone present)"]
      SCHED["skscheduler<br/>(outbox-flush sweep)"]
    end

    SKCHAT -->|"messages over"| SKCOMMS
    SKCHAT -->|"resolve identity"| CAPAUTH
    SKCHAT -->|"TTS / STT"| SKVOICE
    SKCHAT -->|"@mention → consciousness loop"| SKMODEL
    SKCHAT -->|"capture threads"| SKMEMORY
    SKCHAT -.->|"alerts"| ALERT
    SKCHAT -.->|"register outbox sweep"| SCHED

The dashed edges are optional (default-on-by-presence): skchat works standalone, and only wires into the sk-alert / skscheduler platform primitives when the skcapstone extra is installed.

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Documentation

Doc	Contents
Architecture	inbound/outbound message lifecycle, the @mention advocacy loop, group key state, voice pipeline, source-map, where-it-lives (mermaids)
MCP reference	every MCP tool, its arguments, and usage from an agent host
CLAUDE.md	running the daemon, systemd units, identity, troubleshooting

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License

GPL-3.0-or-later — because communication is a right, not a product.

Part of the SKWorld sovereign ecosystem · site: skchat.skworld.io · 🐧 smilinTux