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openclaw - 💡(How to fix) Fix Feature: Visual multi-agent project rooms with shared context in group chats [1 participants]

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openclaw/openclaw#52683•Fetched 2026-04-08 01:20:25
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OpenClaw already supports group chat sessions, sub-agents, ACP sessions, and routed delegation. What is still missing is a practical project-room mode for group chats where multiple agents can collaborate with shared context and optionally expose that collaboration visually inside the same chat.

This request is not just "shared sessions across chats". It is specifically about making multi-agent teamwork usable in real group conversations, especially for project coordination and contributor workflows.

Root Cause

This would make OpenClaw much stronger for:

  • contributor / maintainer collaboration
  • startup-style AI team workflows
  • implementation planning
  • project review rooms
  • agent-based operations inside real chat groups

Right now, the building blocks exist, but users still have to manually simulate this pattern. A first-class room model would make it much more reliable and intuitive.

RAW_BUFFERClick to expand / collapse

Summary

OpenClaw already supports group chat sessions, sub-agents, ACP sessions, and routed delegation. What is still missing is a practical project-room mode for group chats where multiple agents can collaborate with shared context and optionally expose that collaboration visually inside the same chat.

This request is not just "shared sessions across chats". It is specifically about making multi-agent teamwork usable in real group conversations, especially for project coordination and contributor workflows.

Problem

Today, there are pieces of this, but not the full workflow:

  • A group chat has its own session
  • A controller agent can delegate to sub-agents or ACP sessions
  • Results can be summarized back to the group

But the following are still missing or awkward:

  • Multiple agents do not feel like they are in the same room with the same project context
  • Agent-to-agent coordination is mostly hidden in isolated sessions
  • If you want a visible "team discussion" in the group, it becomes noisy and brittle
  • There is no first-class mode for shared context + coordinated responses + optional visualized dialogue

This makes it hard to use OpenClaw as a true multi-role project room, for example:

  • PM / coordinator agent
  • Tech lead agent
  • QA / testing agent
  • Research / market agent
  • Content / marketing agent

Proposed Feature

Add a first-class Visual Multi-Agent Project Room mode for group chats.

Core capabilities

  1. Shared room context

    • Multiple agents can attach to the same room/project context
    • They can see the same task state, goals, and recent discussion
    • Context should be scoped intentionally, not leaked globally

  2. Coordinated multi-agent responses

    • One agent may act as coordinator / router
    • Specialist agents can contribute into the same room
    • The coordinator can decide whether to show raw discussion or only synthesized updates

  3. Visible collaboration modes Support at least two modes:

    • Backstage mode: agents collaborate privately, only summarized updates are posted to the group
    • Visible mode: selected agent messages are shown in the same group, like a project room discussion

  4. Noise control

    • Ability to collapse / batch agent chatter
    • Show only key decisions, blockers, handoffs, or summaries
    • Optionally render updates as structured status cards instead of many small messages

  5. Role-based participation

    • Explicitly attach named roles to a room, e.g. tech-lead, qa, research, marketing
    • Mentioning or calling a role in the room should route to that agent with the shared room state

  6. Room memory / project memory

    • Shared room memory that survives session restarts
    • Clear separation from private DM memory or unrelated group sessions

Example Use Case

A Telegram/Discord/Feishu project group includes the human plus several AI roles.

The human says:

We need an implementation plan for this feature. Tech lead, QA, and marketing please discuss and give me a rollout proposal.

Expected behavior:

  • Tech lead, QA, and marketing agents operate against the same project room context
  • They can reference each other's latest points without losing continuity
  • The room can either:
    • show the discussion live, or
    • keep it backstage and post a concise merged update
  • The coordinator can present output like:
    • owner
    • current task
    • completed
    • blockers
    • next step

Why this matters

This would make OpenClaw much stronger for:

  • contributor / maintainer collaboration
  • startup-style AI team workflows
  • implementation planning
  • project review rooms
  • agent-based operations inside real chat groups

Right now, the building blocks exist, but users still have to manually simulate this pattern. A first-class room model would make it much more reliable and intuitive.

Possible implementation directions

  • Introduce a room session abstraction above individual agent sessions
  • Allow multiple agents to bind to the same room context with scoped shared memory
  • Add a coordinator policy for routing / summarization / visibility
  • Reuse thread-binding ideas where available, but make this work for normal group chats too
  • Support structured output widgets/cards for room updates

Related issues

This seems related, but more specific in UX and workflow terms:

  • #34999 True Multi-Agent Group Chat: Shared Session Context with Coordinated Responses
  • #19929 [Feature]: Shared sessions across multiple group/channel/thread chats
  • #49509 Feature request: /callon team sessions with master-routed delegation

Requested outcome

A supported way to run a multi-agent shared-context project room inside a group chat, with selectable visibility and low-noise coordination.

extent analysis

Fix Plan

To implement the Visual Multi-Agent Project Room mode, follow these steps:

  1. Introduce a room session abstraction:
    • Create a RoomSession class that extends the existing Session class.
    • Add a room_context attribute to store the shared context.
  2. Allow multiple agents to bind to the same room context:
    • Create a bind_agent method in the RoomSession class.
    • Use a dictionary to store the bound agents and their corresponding roles.
  3. Add a coordinator policy for routing/summarization/visibility:
    • Create a Coordinator class that defines the routing and summarization logic.
    • Use a strategy pattern to allow different visibility modes (e.g., backstage, visible).
  4. Reuse thread-binding ideas and support structured output widgets/cards:
    • Use existing thread-binding logic to bind agents to the room context.
    • Create a RoomUpdate class to represent structured output widgets/cards.

Example code snippets:

# RoomSession class
class RoomSession(Session):
    def __init__(self, room_context):
        self.room_context = room_context
        self.bound_agents = {}

    def bind_agent(self, agent, role):
        self.bound_agents[agent] = role

# Coordinator class
class Coordinator:
    def __init__(self, room_session):
        self.room_session = room_session

    def route_message(self, message):
        # Routing logic
        pass

    def summarize_update(self, update):
        # Summarization logic
        pass

# RoomUpdate class
class RoomUpdate:
    def __init__(self, title, content):
        self.title = title
        self.content = content

# Example usage
room_session = RoomSession({"project_name": "Example Project"})
agent1 = Agent("Tech Lead")
agent2 = Agent("QA")

room_session.bind_agent(agent1, "tech_lead")
room_session.bind_agent(agent2, "qa")

coordinator = Coordinator(room_session)
update = RoomUpdate("Project Update", "New task assigned")
coordinator.summarize_update(update)

Verification

To verify the fix, test the following scenarios:

  • Multiple agents can bind to the same room context and access the shared context.
  • The coordinator can route messages and summarize updates correctly.
  • The visibility mode can be switched between backstage and visible.
  • Structured output widgets/cards are displayed correctly.

Extra Tips

  • Use a dictionary to store the bound agents and their corresponding roles for efficient lookup.
  • Consider using a pub-sub pattern to notify agents of updates to the room context.
  • Use a separate data store to persist the room context and updates to ensure data consistency.

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