SourceOpenClaw (GitHub Releases)•Stalecollected in 17h
OpenClaw 2026.4.12: Active Memory & Local Speech
#memory-plugin#local-models#speech-integrationopenclawmlxmatrixtelegramfeishu
Auto-context memory sub-agent + local MLX speech revolutionizes persistent AI chats!
30-Second TL;DR
What Changed
Active Memory plugin auto-pulls preferences and past details before replies.
Why It Matters
Improves chat persistence and local inference, reducing manual context prompts and easing self-hosted deployments for AI agents.
What To Do Next
Install Active Memory plugin and configure full-context mode for ongoing chats.
Who should care:Developers & AI Engineers
Key Points
- •Active Memory plugin auto-pulls preferences and past details before replies.
- •Experimental MLX local speech provider with interruption handling for macOS.
- •Per-provider allowPrivateNetwork for trusted self-hosted OpenAI endpoints.
- •commands.list RPC exposes runtime commands with argument metadata.
- •MSC4357 live markers enable typewriter animations in Matrix clients.
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Original source: OpenClaw (GitHub Releases) ↗
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