Status: Experimental. Added in 2026.1.9. WhatsApp (web channel) only.
Overview
Broadcast groups run multiple agents on the same inbound message. Each agent processes the message in its own isolated session and posts its own reply, so one WhatsApp number can host a team of specialized agents in a single group chat or DM. Broadcast groups are evaluated after channel allowlists and group activation rules. In WhatsApp groups, broadcasts happen when OpenClaw would normally reply (for example: on mention, depending on your group settings). They only change which agents run, never whether a message is eligible for processing. The live WhatsApp QA lane includeswhatsapp-broadcast-group-fanout, which verifies that one mentioned group message can produce distinct visible replies from two configured agents.
Configuration
Basic setup
Add a top-levelbroadcast section (next to bindings). Keys are WhatsApp peer ids, values are arrays of agent ids:
- group chats: group JID (e.g.
120363403215116621@g.us) - DMs: sender E.164 phone number (e.g.
+15551234567)
agents.list: config validation reports unknown ids, and the runtime skips them with a Broadcast agent <id> not found in agents.list; skipping warning.
Processing strategy
broadcast.strategy sets how agents process the message:
| Strategy | Behavior |
|---|---|
parallel (default) | All agents process simultaneously; replies arrive in any order. |
sequential | Agents process in array order; each waits for the previous to finish. |
Complete example
How it works
Message flow
Route and admission
OpenClaw applies channel allowlists, group activation rules, and configured ACP binding ownership.
Broadcast check
If no configured ACP binding owns the route, OpenClaw checks whether the peer ID is in
broadcast.If broadcast applies
- All listed agents process the message.
- Each agent has its own session key and isolated context.
- Agents process in parallel (default) or sequentially.
- Audio attachments are transcribed once before fan-out, so agents share one transcript instead of making separate STT calls.
Broadcast groups do not bypass channel allowlists or group activation rules (mentions/commands/etc). They only change which agents run when a message is eligible for processing.
Session isolation
Each agent in a broadcast group maintains completely separate:- Session keys (
agent:alfred:whatsapp:group:120363...vsagent:baerbel:whatsapp:group:120363...) - Conversation history (an agent does not see other agents’ replies)
- Workspace (separate sandboxes if configured)
- Tool access (different allow/deny lists)
- Memory/context (separate
IDENTITY.md,SOUL.md, etc.)
Example: isolated sessions
In group120363403215116621@g.us with agents ["alfred", "baerbel"]:
- Alfred's context
- Baerbel's context
Use cases
- Specialized agent teams: a dev group where
code-reviewer,security-auditor,test-generator, anddocs-checkereach answer the same message from their own angle. - Multi-language support: one support chat with
support-en,support-de,support-esresponding in their languages. - Quality assurance:
support-agentanswers whileqa-agentreviews and only responds when it finds issues. - Task automation:
task-tracker,time-logger, andreport-generatorall consume the same status update.
Best practices
1. Keep agents focused
1. Keep agents focused
Give each agent a single, clear responsibility (
formatter, linter, tester) instead of one generic “dev-helper” agent.2. Use descriptive ids and names
2. Use descriptive ids and names
3. Configure different tool access
3. Configure different tool access
reviewer is read-only. fixer can read and write.4. Monitor performance
4. Monitor performance
With many agents, prefer
"strategy": "parallel" (default), keep broadcast groups to a handful of agents, and use faster models for simpler agents.5. Failures stay isolated
5. Failures stay isolated
Agents fail independently. One agent’s error is logged (
Broadcast agent <id> failed: ...) and does not block the others.Compatibility
Providers
Broadcast groups are currently implemented for WhatsApp (web channel) only. Other channels ignore thebroadcast config.
Routing
Broadcast groups work alongside existing routing:GROUP_A: only alfred responds (normal routing).GROUP_B: agent1 AND agent2 respond (broadcast).
Precedence:
broadcast takes priority over ordinary route bindings. Configured ACP bindings (bindings[].type="acp") are exclusive: when one matches, OpenClaw dispatches to the configured ACP session instead of fan-out broadcast.Troubleshooting
Agents not responding
Agents not responding
Check:A successful fan-out logs
- Agent IDs exist in
agents.list(config validation rejects unknown ids). - Peer ID format is correct (group JID like
120363403215116621@g.us, or E.164 like+15551234567for DMs). - The message passed normal gating (mention/activation rules still apply).
Broadcasting message to <n> agents (<strategy>).Only one agent responding
Only one agent responding
Cause: the peer ID might be in ordinary route bindings but not
broadcast, or it might match an exclusive configured ACP binding.Fix: add ordinary route-bound peers to the broadcast config, or remove/change the configured ACP binding if fan-out broadcast is desired.Performance issues
Performance issues
If slow with many agents: reduce the number of agents per group, use lighter models, and check sandbox startup time.
Examples
Example 1: Code review team
Example 1: Code review team
Example 2: Multi-language pipeline
Example 2: Multi-language pipeline
API reference
Config schema
Fields
How to process agents.
parallel runs all agents simultaneously; sequential runs them in array order.WhatsApp group JID or E.164 phone number. Value is the array of agent IDs that should all process messages from that peer.
Limitations
- Max agents: no hard limit, but many agents (10+) can be slow.
- Shared context: agents do not see each other’s responses (by design).
- Message ordering: parallel responses may arrive in any order.
- Rate limits: all replies come from one WhatsApp account, so every agent’s reply counts toward the same WhatsApp rate limits.