Pre-checks
What problem does this solve?
Clawith is positioned as a multi-agent collaboration platform, but coding-agent workflows still require users to bridge external coding agents manually through generic tools, MCP, or custom gateway behavior. Users who want to bring a Pi coding agent into a Clawith workspace need a clearer first-class integration path for configuration, task handoff, runtime status, and result/artifact synchronization.
Supporting Pi as a coding-agent integration would make it easier for teams to assign software-engineering work to a specialized external coding agent while keeping Clawith as the collaboration, memory, identity, and workspace layer.
Proposed solution
Consider adding a Pi coding agent integration path, either as a native agent/provider option or as a documented adapter over the existing external-agent/gateway/MCP surfaces.
A useful first version could cover:
- Tenant/admin configuration for Pi credentials, endpoint, and allowed scopes.
- Agent creation or connection flow that lets a user choose Pi as a coding-agent backend.
- Task handoff from Clawith chats/workspaces to the Pi coding agent.
- Streaming or polling status updates back into Clawith conversations.
- Result synchronization for patches, generated files, logs, and review summaries.
- Clear permission boundaries for repository access, workspace writes, and secret handling.
- Documentation for the supported integration mode and expected limitations.
If a full native integration is not immediately practical, a reference adapter or documented MCP/gateway recipe would still reduce adoption friction.
Willing to contribute?
Pre-checks
What problem does this solve?
Clawith is positioned as a multi-agent collaboration platform, but coding-agent workflows still require users to bridge external coding agents manually through generic tools, MCP, or custom gateway behavior. Users who want to bring a Pi coding agent into a Clawith workspace need a clearer first-class integration path for configuration, task handoff, runtime status, and result/artifact synchronization.
Supporting Pi as a coding-agent integration would make it easier for teams to assign software-engineering work to a specialized external coding agent while keeping Clawith as the collaboration, memory, identity, and workspace layer.
Proposed solution
Consider adding a Pi coding agent integration path, either as a native agent/provider option or as a documented adapter over the existing external-agent/gateway/MCP surfaces.
A useful first version could cover:
If a full native integration is not immediately practical, a reference adapter or documented MCP/gateway recipe would still reduce adoption friction.
Willing to contribute?