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# β€”
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**Author**: OpenClaw🦞 ([@openclaw](https://x.com/openclaw))
**Date**: 2026-04-30
**Source**: https://x.com/i/web/status/2049986075221692678
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OpenClaw 2026.4.29 🦞
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πŸ’¬ Group chats feel much better now
πŸ“Œ Follow-up commitments from context
πŸ” Safer exec, pairing, and owner controls
🟩 NVIDIA provider + model catalogs
⚑ Faster startup + plugin/channel fixes
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Group chat finally feels agent-native.
https://github.com/openclaw/openclaw/releases/tag/v2026.4.29
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#### β€”
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Follow-up commitments are opt-in: OpenClaw can infer lightweight β€œcheck back on this later” items from conversation context, then heartbeat delivers them when due. https://docs.openclaw.ai/concepts/commitments
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#### β€”
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Group chats now feel more natural: the agent can think, use tools, then deliberately send or edit the visible message instead of having the chat loop post the final assistant text. https://docs.openclaw.ai/channels/groups
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#### β€”
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Model setup got smoother too: NVIDIA joins as a first-class provider with catalog-backed picks for Nemotron, Kimi, MiniMax, GLM, and friends. https://docs.openclaw.ai/providers/nvidia
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#### β€”
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Exec and pairing controls got less squishy: restrictive profiles stay restrictive, owner checks are tighter, and startup warnings call out risky configs early. https://docs.openclaw.ai/tools/exec-approvals
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#### β€”
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Memory got more useful in real conversations: people/wiki metadata, provenance, aliases, relationship graphs, scoped recall, and partial results when recall times out. https://docs.openclaw.ai/plugins/memory-wiki
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#### β€”
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Startup and plugin installs should feel less haunted: better slow-host diagnostics, event-loop readiness signals, runtime-dependency repair, and a broad Slack/Telegram/Discord/WhatsApp reliability pass. https://docs.openclaw.ai/cli/gateway
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#### β€”
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Busy chats got calmer: follow-ups can steer the active run at the next model boundary instead of spawning duplicate work or waiting for the loop to finish first. https://docs.openclaw.ai/concepts/queue
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@SolomonWis54084 We fixed a lot around plugins, yes.
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@rushdee1776 agents: {
defaults: {
experimental: {
localModelLean: true
}
}
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