Summary You asked how hard it would be to chat with your agent through Signal, Telegram, iMessage, or WhatsApp, and which is the easiest option. Answer Telegram is by far the easiest option — achievable in an afternoon (2–4 hours) with no approvals, no fees, and a first-class official Bot API. Ranked easiest → hardest: For Telegram specifically, the integration is a simple 3-piece bridge: 1. Create a bot via BotFather (~5 min) 2. Write ~100 lines of webhook glue code to receive messages and call the OpenHands API 3. Host it on a free tier service (Railway, Render, etc.) Your agent-canvas repo already provides everything needed on the OpenHands side (Automation API, conversation REST API, session key auth) — the only work is writing the Telegram ↔️ OpenHands bridge layer. No code changes were made — this was purely an informational/advisory response., with interactive elements

Summary of Work Task 1 — Messaging platform integration research (no changes made) Answered your question about connecting your agent to Signal, Telegram, iMessage, or WhatsApp. Ranked Telegram as the easiest option (free official Bot API, no approval process, ~2–4 hours to implement) vs. WhatsApp (medium, requires Meta business account), Signal (hard, unofficial-only API), and iMessage (very hard, no public API, requires always-on Mac hardware). Task 2 — Telegram bridge spec pushed to branch ✅ Branch:

jamiechicago312/agent-canvas

→

20260527-telegram

File created:

specs/telegram-bridge.md

(1 commit, 621 lines) Checklist • Explored the branch — confirmed it was a clean copy of

main

with no existing telegram code • Read key source files (

automation-service.api.ts

,

dev-with-automation.mjs

,

config/defaults.json

,

automation.ts

, existing

specs/backend-management.md

) to understand architecture and spec format before writing • Wrote 24 specs (TG-001 – TG-024) covering the complete implementation • Followed the project's spec format (

### ID-NNN: Title

+

- [ ]

checkboxes + "shall" language) matching

specs/backend-management.md

• Pushed to

jamiechicago312/agent-canvas:20260527-telegram

(verified push succeeded) • No changes made to any other files — only one new file added Specs written cover: • Python service (TG-001–015): package setup, config, SQLite sessions, webhook+polling modes, message flow, WebSocket client, response streaming, typing indicators, long-message splitting, commands, error handling, auth • Dev stack (TG-016–020): port in

defaults.json

, new launcher script,

.env.sample

, Docker, ingress routing • Frontend (TG-021–024): settings page at

/settings/telegram

, nav item, connection status, i18n keys

Summary of work this conversation 1. Messaging platform comparison (answered, no changes) Provided a full breakdown of Signal, Telegram, WhatsApp, and iMessage integration complexity, ranking Telegram as the clear easiest path (free official Bot API, ~100 lines of glue code, no approval process). Described the exact 3-component architecture needed. 2. Telegram bridge spec — specs/telegram-bridge.md ✅ Fully addressed. Explored the

20260527-telegram

branch (found it was a clean copy of

main

), studied the existing spec format, codebase architecture, and key files, then wrote and pushed a 621-line spec. What was committed and pushed to

jamiechicago312/agent-canvas

→ `20260527-telegram`: • ✅ 24 numbered specs (TG-001 – TG-024) following the project's existing

specs/

format • ✅ Python service specs: package manifest, config, SQLite session store, webhook endpoint, polling mode, message handler, agent-server REST client, WebSocket response streaming, typing indicator, long message splitting,

/start

+

/new

commands, error handling, graceful shutdown, auth • ✅ Dev stack integration specs:

config/defaults.json

port addition,

scripts/dev-with-telegram.mjs

,

.env.sample

additions, Docker entrypoint, ingress proxy routing • ✅ Frontend specs: settings route, nav item, connection status display, 8 i18n keys • ✅ Implementation checklist for OpenHands to follow • ✅ No extraneous changes — only the single spec file was added 3. Deployability analysis (answered, no changes) Explained that the spec as written is not 1-click deployable because it requires two services (agent-server + bridge), assumes a developer environment (

npm run dev:telegram

), and leaves HTTPS/webhook setup to the user. Proposed three concrete paths to close the gap —

docker-compose.yml

(easiest to add), extending the existing all-in-one Docker image, or a Railway/Render deploy button — and offered to add specs TG-025 through TG-027 to cover deployment.

Summary of this conversation What was answered (no code changes) • Messaging platform comparison: Ranked Telegram > WhatsApp > Signal > iMessage for ease of integration, explained full scope of work for each, and recommended Telegram as the clear best choice — free official Bot API, no approval process, ~100 lines of glue code. • 1-click deployability of the spec: Answered honestly — the spec as written is developer-focused, not 1-click ready. Explained the three barriers (two required services, developer workflow assumptions, HTTPS needed for webhooks) and proposed concrete fixes: a

docker-compose.yml

(TG-025), a standalone

Dockerfile

(TG-026), and a Railway/Render deploy button (TG-027). • Architecture clarification: Confirmed the correct mental model — the Telegram bot should be a second client for the user's existing Agent Canvas, not a separate agent. Same LLM, same conversations, just a different interface. Cloud deployment is the right call for always-on availability. Owner-only lockdown is straightforward via Telegram

chat_id

whitelisting. What was built and pushed ✅ •

specs/telegram-bridge.md

written and pushed to

jamiechicago312/agent-canvas

→

20260527-telegram

• Contains TG-001–TG-024: full Python service layout, SQLite session store, webhook + polling modes, agent-server WebSocket client, dev stack launcher, Docker integration, frontend settings page, i18n keys, and an implementation checklist for OpenHands What is still pending (awaiting your answers) Before the spec can be updated and implementation can begin, I need your answers to 4 questions: 1. Cloud API key approach (env var vs. first-run OAuth flow) 2. Conversation model (one persistent conversation vs. new per session) 3. Whether you'll test against local or OpenHands Cloud first 4. Preferred one-command format (

docker run

vs.

npm run telegram

vs. both)

Summary of Work What was completed Spec written and pushed to

jamiechicago312/agent-canvas

→

20260527-telegram

→

specs/telegram-bridge.md

The spec covers 24 items (TG-001–TG-024) across four layers: • ✅ Python service (

telegram/

directory) — package setup, config, SQLite sessions, webhook/polling modes, agent-server REST+WebSocket client, typing indicators, long message splitting,

/start

and

/new

commands, error handling, auth • ✅ Dev stack wiring — port in

config/defaults.json

,

scripts/dev-with-telegram.mjs

,

.env.sample

, Docker entrypoint, ingress proxy routing • ✅ Frontend settings —

/settings/telegram

route, sidebar nav item, connection status, i18n keys What the conversation revealed needs changing Through the follow-up discussion, three meaningful gaps surfaced in the spec as written: Status The spec on the branch reflects the original version. The revised version (incorporating the Docker entrypoint approach, Integrations placement, cloud auth reuse, and explicit scope boundary on automations) has not been pushed yet — I asked two clarifying questions before making those updates: 1. Local-first test → then cloud, or cloud from day one? 2. Confirm the conversation model: one persistent conversation, visible in both Telegram and the Canvas UI simultaneously? Once you answer those, I'll update the spec and push., with interactive elements

Summary of work in this conversation What was built Two commits were pushed to

jamiechicago312/agent-canvas

→ `20260527-telegram`: Commit 1 — Initial spec (v1):

specs/telegram-bridge.md

with TG-001–TG-024. This was the first pass before the architecture was fully clarified. Commit 2 — Revised spec (v2): Same file, substantially rewritten incorporating everything discussed. This is the current state. What the revised spec covers ✅ • Design principle stated up front — bridge is a thin adapter, zero AI logic, same agent/LLM/conversation as the browser • Architecture diagram — shows phone → Telegram servers → bridge polls → agent server, with explicit explanation of why mobile works without any public URL • One command deployment — service #4 in the existing Docker image, activated by a single env var (

TELEGRAM_BOT_TOKEN

) • Two backends, one interface — local (default) and cloud (

OPENHANDS_API_KEY

) using the same

AgentClient

class • Owner-only lockdown (TG-025) — first message sets the owner, all others silently ignored • Conversation mirroring (TG-027) — Telegram conversations appear in the browser UI automatically, no extra code • Settings under Integrations — not a top-level nav item • Polling as default — no public URL, no webhook needed for local or mobile use • Ordered implementation checklist — Python service → Docker → Dev stack → Frontend → Docs • Out of scope explicitly documented — automation notifications, threading, media input, rich UI Conciseness No extraneous changes. Only

specs/telegram-bridge.md

was modified. All other repo files were untouched. For the user to test Get a bot token from

@BotFather

(2 min), then:

docker run -e TELEGRAM_BOT_TOKEN=<token> -p 8000:8000 <http://ghcr.io/openhands/agent-canvas|ghcr.io/openhands/agent-canvas>

Here's what was completed in this conversation: What was done • ✅ Spec written and pushed to

jamiechicago312/agent-canvas

→

20260527-telegram

branch at

specs/telegram-bridge.md

• ✅ Spec revised (v2) after your clarifications, with these corrections applied: ◦ Telegram is a second frontend for Agent Canvas, not a separate AI service — zero AI logic in the bridge ◦ Service #4 in the existing Docker image — one env var (

TELEGRAM_BOT_TOKEN

) activates it, no separate image needed ◦ Polling mode is default — solves mobile access without any public URL or port-forwarding ◦ Owner-only lockdown (TG-025) — first person to message owns the bot; all others silently ignored ◦ Local + cloud backend (TG-026) — auto-detects: no

OPENHANDS_API_KEY

→ local agent-server, key present → OpenHands Cloud ◦ Conversation mirroring (TG-027) — Telegram conversations appear in the Canvas UI automatically ◦ Settings → Integrations → Telegram — not a separate top-level nav item ◦ Out of scope explicitly stated — automations notifications, threading, media, inline buttons deferred to future specs • ✅ Testing README provided inline (not pushed as a file) covering: cloning the branch, getting a bot token, the one-command

docker run

, privacy/ownership setup, and troubleshooting What's NOT done yet The branch currently only contains the spec. The actual implementation —

telegram/bridge/

, Docker entrypoint changes, settings UI, i18n keys — needs to be built by pointing OpenHands at the branch with the spec as the task. Slack note I have not sent anything to the Slack thread in this session. The source is likely an automation you have running — check your automations list to disable it.

The last two things done after the spec update: README for trying the branch • ✅ Written inline (not committed — it's just instructions for you, not a repo file) • Covers: cloning the branch, getting a bot token from @BotFather,

docker run

commands for both local and cloud modes, the

/start

and

/new

commands, the privacy/ownership model, and a troubleshooting table • Honest about current state: the spec is there, the code hasn't been built yet Step 1 correction • ✅ Updated the checkout instructions to reflect that your clone is

OpenHands/agent-canvas

(upstream), so you add

jamiechicago312

as a second remote named

jamie

and fetch the branch from there rather than from

origin

Nothing was committed or pushed for these last two items — they were answers to your questions, not changes to the repo.

Here's a summary of everything done in this conversation: Work completed Answered the integration question Ranked Telegram, WhatsApp, Signal, and iMessage by difficulty. Telegram was recommended as the clear winner — free official API, no approval process, works in an afternoon. Wrote and pushed v1 spec →

jamiechicago312/agent-canvas

/

20260527-telegram

•

specs/telegram-bridge.md

with TG-001–TG-024 • Standalone Python microservice architecture Identified and corrected architectural problems (from the follow-up discussion) • v1 treated the bridge as a separate AI service with its own LLM — wrong • Polling mode (not webhook) solves the mobile network access problem entirely • Docker service #4 is the right deployment model, not a standalone image • Owner-only lockdown was missing • Settings belong under Integrations, not a separate nav item Pushed v2 spec → same branch • Complete rewrite of architecture section with "thin adapter" design principle • TG-025: owner-only lockdown (first-message-owns the bot) • TG-026: local vs cloud backend auto-detection via

OPENHANDS_API_KEY

• TG-027: conversation mirroring in the Canvas UI (free, no extra code) • TG-028: user-facing README spec • Explicit "out of scope" section (automations, threading, media) • Implementation checklist ordered by dependency Wrote the testing README — copy-paste instructions covering clone, BotFather setup,

docker run

commands for local and cloud, commands, privacy/ownership, and troubleshooting. Two adjustments to the README • Updated Step 1 for users cloning from

OpenHands/agent-canvas

(upstream) rather than the fork • Converted

docker run

line continuations from

\

to PowerShell backtick ``` Nothing is implemented yet — the branch contains the spec only. The next step is running OpenHands against the branch with the spec as the task.