klir-bot 0.7.2

Control AI coding CLIs from Telegram. Live streaming, sessions, cron jobs, webhooks. Originally forked from ductor by PleasePrompto.

Claude Code, Codex CLI, Gemini CLI, and OpenCode as your Telegram assistant.
Uses only official CLIs. Nothing spoofed, nothing proxied.

Quick start · How chats work · Commands · Docs · Contributing

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If you want to control Claude Code, Google's Gemini CLI, or OpenAI's Codex CLI via Telegram, build automations, or manage multiple agents easily — klir is the right tool for you.

klir runs on your machine and sends simple console commands as if you were typing them yourself, so you can use your active subscriptions (Claude Max, etc.) directly. No API proxying, no SDK patching, no spoofed headers. Just the official CLIs, executed as subprocesses, with all state kept in plain JSON and Markdown under ~/.klir/.

Quick start

pipx install klir
klir

The onboarding wizard handles CLI checks, Telegram setup, timezone, and optional background service install.

Requirements: Python 3.11+, at least one CLI installed (claude, codex, gemini, or opencode), a Telegram Bot Token from @BotFather.

Detailed setup: docs/installation.md

How chats work

klir gives you multiple ways to interact with your coding agents. Each level builds on the previous one.

1. Single chat (your main agent)

This is where everyone starts. You get a private 1:1 Telegram chat with your bot. Every message goes to the CLI you have active (claude, codex, or gemini), responses stream back in real time.

You:   "Explain the auth flow in this codebase"
Bot:   [streams response from Claude Code]

You:   /model
Bot:   [interactive model/provider picker]

You:   "Now refactor the parser"
Bot:   [streams response, same session context]

This single chat is all you need. Everything else below is optional.

2. Groups with topics (multiple isolated chats)

Create a Telegram group, enable topics (forum mode), and add your bot. Now every topic becomes its own isolated chat with its own CLI context.

Group: "My Projects"
  ├── General           ← own context (isolated from your single chat)
  ├── Topic: Auth       ← own context
  ├── Topic: Frontend   ← own context
  ├── Topic: Database   ← own context
  └── Topic: Refactor   ← own context

That's 5 independent conversations from a single group. Your private single chat stays separate too — 6 total contexts, all running in parallel.

Each topic can use a different model. Run /model inside a topic to change just that topic's provider.

All chats share the same ~/.klir/ workspace — same tools, same memory, same files. The only thing isolated is the conversation context.

Note: The Telegram Bot API has no method to list existing forum topics. klir learns topic names from forum_topic_created and forum_topic_edited events — so only topics created or renamed while the bot is in the group are known by name. Pre-existing topics show as "Topic #N" until they are edited. This is a Telegram limitation, not a klir limitation.

3. Named sessions (extra contexts within any chat)

Need to work on something unrelated without losing your current context? Start a named session. It runs inside the same chat but has its own CLI conversation.

You:   "Let's work on authentication"        ← main context builds up
Bot:   [responds about auth]

/session Fix the broken CSV export            ← starts session "firmowl"
Bot:   [works on CSV in separate context]

You:   "Back to auth — add rate limiting"     ← main context is still clean
Bot:   [remembers exactly where you left off]

@firmowl Also add error handling              ← follow-up to the session

Sessions work everywhere — in your single chat, in group topics, in sub-agent chats. Think of them as opening a second terminal window next to your current one.

4. Background tasks (async delegation)

Any chat can delegate long-running work to a background task. You keep chatting while the task runs autonomously. When it finishes, the result flows back into your conversation.

You:   "Research the top 5 competitors and write a summary"
Bot:   → delegates to background task, you keep chatting
Bot:   → task finishes, result appears in your chat

You:   "Delegate this: generate reports for all Q4 metrics"
Bot:   → explicitly delegated, runs in background
Bot:   → task has a question? It asks the agent → agent asks you → you answer → task continues

Each task gets its own memory file (TASKMEMORY.md) and can be resumed with follow-ups.

5. Sub-agents (fully isolated second agent)

Sub-agents are completely separate bots — own Telegram chat, own workspace, own memory, own CLI auth, own config settings (heartbeat, timeouts, model defaults, etc.). Like having klir installed twice on different machines.

klir agents add codex-agent    # creates a new bot (needs its own BotFather token)

Your main chat (Claude):        "Explain the auth flow"
codex-agent chat (Codex):       "Refactor the parser module"

Sub-agents live under ~/.klir/agents/<name>/ with their own workspace, tools, and memory — fully isolated from the main agent.

You can delegate tasks between agents:

Main chat:  "Ask codex-agent to write tests for the API"
  → Claude sends the task to Codex
  → Codex works in its own workspace
  → Result flows back to your main chat

Comparison

	Single chat	Group topics	Named sessions	Background tasks	Sub-agents
What it is	Your main 1:1 chat	One topic = one chat	Extra context in any chat	"Do this while I keep working"	Separate bot, own everything
Context	One per provider	One per topic per provider	Own context per session	Own context, result flows back	Fully isolated
Workspace	~/.klir/	Shared with main	Shared with parent chat	Shared with parent agent	Own under ~/.klir/agents/
Config	Main config	Shared with main	Shared with parent chat	Shared with parent agent	Own config (heartbeat, timeouts, model, ...)
Setup	Automatic	Create group + enable topics	/session <prompt>	Automatic or "delegate this"	klir agents add + BotFather

How it all fits together

~/.klir/                          ← shared workspace (tools, memory, files)
  │
  ├── Single chat                   ← main agent, private 1:1
  │     ├── main context
  │     └── named sessions
  │
  ├── Group: "My Projects"          ← same agent, same workspace
  │     ├── General (own context)
  │     ├── Topic: Auth (own context, own model)
  │     ├── Topic: Frontend (own context)
  │     └── each topic can have named sessions too
  │
  └── agents/codex-agent/           ← sub-agent, fully isolated workspace
        ├── own single chat
        ├── own group support
        ├── own named sessions
        └── own background tasks

Features

• Real-time streaming — live Telegram message edits as the CLI produces output
• Provider switching — /model to change provider/model, @model directives for inline targeting
• Persistent memory — plain Markdown files that survive across sessions
• Cron jobs — in-process scheduler with timezone support, per-job overrides, quiet hours
• Webhooks — wake (inject into active chat) and cron_task (isolated task run) modes
• Heartbeat — proactive checks in active sessions with cooldown
• Config hot-reload — most settings update without restart
• Service manager — Linux (systemd), macOS (launchd), Windows (Task Scheduler)
• Cross-tool skill sync — shared skills across ~/.claude/, ~/.codex/, ~/.gemini/

Auth

klir uses a dual-allowlist model. Every message must pass both checks.

Chat type	Check
Private	user_id ∈ allowed_user_ids
Group	group_id ∈ allowed_group_ids AND user_id ∈ allowed_user_ids

• allowed_user_ids — Telegram user IDs that may talk to the bot. At least one required.
• allowed_group_ids — Telegram group IDs where the bot may operate. Default [] = no groups.
• group_mention_only — When true, the bot only responds in groups when @mentioned or replied to.

All three are hot-reloadable — edit config.json and changes take effect within seconds.

Privacy Mode: Telegram bots have Privacy Mode enabled by default and only see /commands in groups. To let the bot see all messages, make it a group admin or disable Privacy Mode via BotFather (/setprivacy → Disable). If changed after joining, remove and re-add the bot.

Group management: When the bot is added to a group not in allowed_group_ids, it warns and auto-leaves. Use /where to see tracked groups and their IDs.

Telegram commands

Command	Description
/model	Interactive model/provider selector
/new	Reset active provider session
/stop	Abort active run
/stop_all	Abort runs across all agents
/status	Session/provider/auth status
/memory	Show persistent memory
/session <prompt>	Start a named background session
/sessions	View/manage active sessions
/tasks	View/manage background tasks
/cron	Interactive cron management
/showfiles	Browse ~/.klir/
/diagnose	Runtime diagnostics
/upgrade	Check/apply updates
/agents	Multi-agent status
/agent_commands	Multi-agent command reference
/where	Show tracked chats/groups
/leave <id>	Manually leave a group
/info	Version + links

CLI commands

klir                  # Start bot (auto-onboarding if needed)
klir stop             # Stop bot
klir restart          # Restart bot
klir upgrade          # Upgrade and restart
klir status           # Runtime status

klir service install  # Install as background service
klir service logs     # View service logs

klir agents list      # List configured sub-agents
klir agents add NAME  # Add a sub-agent
klir agents remove NAME

klir api enable       # Enable WebSocket API (beta)

Workspace layout

~/.klir/
  config/config.json                 # Bot configuration
  sessions.json                      # Chat session state
  named_sessions.json                # Named background sessions
  tasks.json                         # Background task registry
  cron_jobs.json                     # Scheduled tasks
  webhooks.json                      # Webhook definitions
  agents.json                        # Sub-agent registry (optional)
  SHAREDMEMORY.md                    # Shared knowledge across all agents
  CLAUDE.md / AGENTS.md / GEMINI.md / OPENCODE.md  # Rule files
  logs/agent.log
  workspace/
    memory_system/MAINMEMORY.md      # Persistent memory
    cron_tasks/ skills/ tools/       # Scripts and tools
    tasks/                           # Per-task folders
    telegram_files/ output_to_user/  # File I/O
  agents/<name>/                     # Sub-agent workspaces (isolated)

Full config reference: docs/config.md

Documentation

Doc	Content
System Overview	End-to-end runtime overview
Developer Quickstart	Quickest path for contributors
Architecture	Startup, routing, streaming, callbacks
Configuration	Config schema and merge behavior
Automation	Cron, webhooks, heartbeat setup
Module docs	Per-module deep dives

Why klir?

Other projects manipulate SDKs or patch CLIs and risk violating provider terms of service. klir simply runs the official CLI binaries as subprocesses — nothing more.

• Official CLIs only (claude, codex, gemini, opencode)
• Rule files are plain Markdown (CLAUDE.md, AGENTS.md, GEMINI.md)
• Memory is one Markdown file per agent
• All state is JSON — no database, no external services

Disclaimer

klir runs official provider CLIs and does not impersonate provider clients. Validate your own compliance requirements before unattended automation.

• Anthropic Terms
• OpenAI Terms
• Google Terms

Contributing

git clone https://github.com/js-krinay/klir.git
cd klir
uv sync --group dev
uv run lefthook install
uv run pytest

Pre-commit hooks run ruff and mypy automatically. CI enforces the same checks on every PR.

License

MIT