openclaw - 💡(How to fix) Fix Proposal: reply-first chat behavior, retrieval guardrails, and result-oriented sub-agent reporting [1 comments, 1 participants]

Summary

I’d like to propose a small bundle of behavior/routing improvements that significantly improves chat quality for direct-message and reply-based workflows, especially on Telegram-like surfaces.

These changes are not about adding new model capabilities. They are mainly about better prioritization, cleaner retrieval boundaries, and more user-friendly orchestration behavior.

Proposed changes

1) Reply-first priority

When a user message is a direct reply to a specific message, the replied-to message should be treated as the highest-priority context.

Suggested rule:

• answer the immediate reply target first
• only expand to long-term memory, external notes, old tasks, or broader retrieval when the user explicitly asks for lookup / recall / history, or when the local context is clearly insufficient

Why this matters:

• reduces “answer drift”
• prevents the assistant from overfitting to old task state
• makes the assistant feel much more natural on chat surfaces

2) Local context before retrieval

Retrieval should support the answer, not redirect the answer.

Suggested rule:

• prefer current conversation context before memory/docs/knowledge-base retrieval
• if retrieval is used, it should remain subordinate to the current user request

Why this matters:

• retrieval-heavy agents can easily “hijack” the reply and answer the wrong level of context
• users in chat often want an immediate response to the exact message they just sent, not a reconstructed task history

3) Explicit retrieval guardrail

Suggested rule:

• retrieved context must not replace the user’s immediate task
• retrieval is supporting context, not task selection logic

This seems small, but it fixes a lot of “technically relevant but socially wrong” responses.

4) No fragmented progress updates for multi-step work

For multi-step work, especially technical work, avoid routine incremental updates unless there is a clear reason.

Suggested update policy: Only send an update when there is:

• a concrete result
• a blocker
• a meaningful risk
• or a decision required from the user

Why this matters:

• reduces chat noise
• makes the main conversation feel outcome-oriented instead of log-oriented
• improves trust because the assistant reports only when something matters

5) Result-oriented reporting contract

For delegated or multi-step work, prefer a concise structured report like:

• current status
• what changed
• whether anything is wrong
• remaining risks
• recommended next step

Avoid dropping raw logs into the main thread unless requested.

6) Sub-agent-first default for complex technical work

For complex technical tasks, the main session should primarily orchestrate while sub-agents handle tracing, testing, patch attempts, validation, and deeper exploration.

Suggested division:

• main session: user communication, orchestration, decision points
• sub-agent: execution details, implementation attempts, testing, validation

Why this matters:

• keeps the user-facing thread cleaner
• gives better structure to long-running technical work
• matches the way users think about “just tell me the result unless you need me”

Where this could live

Possible places to encode this:

• core system prompt / default agent instructions
• AGENTS.md guidance templates
• docs for memory and retrieval behavior
• orchestration guidance for sub-agent usage

My practical takeaway

If I had to prioritize only three defaults, I’d start with:

1. reply-first priority
2. retrieval should not hijack the reply
3. no fragmented progress updates

Those three alone noticeably improve day-to-day usability.