ClawControl v1.7.1 fixes daily usage issues in OpenClaw client
ClawControl v1.7.1 has been released, an open source client for OpenClaw that's available across desktop and mobile platforms. The client provides a single interface for chatting with agents, managing sessions, using tools, and tracking automations across all devices, compatible with OpenClaw through version 3.28.
What's fixed in v1.7.1
This maintenance release addresses specific problems developers encounter when using OpenClaw intensively every day:
- Fixed runaway text accumulation from generative loops
- Fixed triple messages / ghost bubbles after
chat:final - Fixed chat history loading
- Fixed tool call detail view
- Fixed Mac build config issues
- Fixed media being silently dropped
- Reduced duplicate messages
New functionality
- Added better support for server-parsed URLs, video, and documents
- Added rate limit indication for v3.23+ compatibility
The overall result is less weirdness, better message fidelity, and cleaner day-to-day use according to the release notes. For developers working regularly with OpenClaw agents, these fixes address specific pain points that emerge during extended usage sessions.
📖 Read the full source: r/openclaw
👀 See Also
Session Search: Local Full-Text Search for Claude Code and Codex Sessions, Now in Your Menu Bar
Session Search indexes local Claude Code and Codex transcripts using SQLite FTS, enabling deep full-text search across errors, commands, filenames, and decisions—accessible from the macOS menu bar with highlighted snippets.
Clavis MCP Server: Secure Credential Management for Claude Desktop
Clavis is an MCP server that manages API keys and OAuth tokens for Claude Desktop, storing credentials with AES-256 encryption and providing automatic token refresh to prevent mid-conversation expiration errors.
SpecLock: Open Source Constraint Engine for AI Coding Agents
SpecLock is an MCP server that actively enforces constraints on AI coding agents like Claude Code. It blocks violations with semantic conflict warnings using synonym expansion, negation detection, and destructive action flagging.
I ripped out OpenClaw's default markdown memory and built a Node.js/Postgres API layer instead
A developer disabled OpenClaw's memory-core plugin and built a typed Node.js/Express + PostgreSQL backend. Context drift dropped to zero.