Terrill Dicki
May 05, 2026 11:18
OpenClaw’s April updates caused widespread performance issues, prompting structural changes and a move toward a smaller, more secure core.
OpenClaw, the wildly popular open-source AI agent platform, faced significant turbulence following its April 2026 updates. Users reported sluggish performance, dependency failures, and broken integrations across major messaging platforms like Telegram, WhatsApp, and Discord. By April 29, the scope of the problems was undeniable, forcing the project to rethink its architecture and release strategy.
“This was not one bug,” wrote OpenClaw creator Peter Steinberger in a blog post on May 5. “Gateways got slower, installs got stuck in plugin dependency repair loops, and people lost time.” Steinberger also apologized for the disruption, citing the challenges of transitioning OpenClaw’s core to a smaller, more secure framework while shifting optional features to ClawHub, an external plugin repository.
The trouble stemmed from OpenClaw’s rapid evolution. Originally launched in November 2025 as Clawdbot, the platform quickly became one of the fastest-growing open-source projects in history, surpassing 350,000 GitHub stars by April 2026. Its appeal lies in its ability to run locally, offering users greater privacy and control compared to cloud-based AI tools like ChatGPT. The framework allows large language models (LLMs) such as GPT or Claude to execute real-world tasks, from managing emails to scraping websites, via familiar chat interfaces.
However, the April updates exposed deeper operational bottlenecks. Key issues included poorly handled plugin dependencies, overly complex cold start processes, and a fragmented approach to bundling and staging external tools. For users, this translated to frustrating downgrades and wasted time—a critical failure for a platform marketed as infrastructure-grade software.
OpenClaw’s struggles also come against the backdrop of growing scrutiny around the security of self-hosted AI systems. Recent supply-chain incidents in the npm ecosystem underscored the risks of sprawling dependency graphs and unvetted community contributions. While OpenClaw wasn’t directly impacted by the Axios npm compromise, Steinberger acknowledged that similar risks prompted the team to harden the platform’s core and reduce bundled dependencies.
In response, the project is reorganizing. Steinberger revealed plans to establish clearer plugin boundaries, improve release hygiene, and announce a long-term support (LTS) release later in May. OpenClaw is also transitioning away from being founder-driven, with the OpenClaw Foundation and OpenAI helping to scale the team. OpenAI’s involvement runs deep, as it recently integrated ChatGPT subscriptions with OpenClaw, allowing users to access GPT-5.4 through the platform.
The platform’s challenges haven’t deterred enterprise interest, with companies like NVIDIA and Tencent continuing to engage with OpenClaw. Microsoft, too, is reportedly developing similar agent capabilities for its M365 Copilot, drawing inspiration from OpenClaw’s model of locally run, privacy-focused AI assistants.
For users, the coming weeks will be critical. The announcement of an LTS version could provide much-needed stability, while the structural changes aim to ensure OpenClaw remains “boringly reliable,” as Steinberger put it. In the meantime, the community, which has been instrumental in identifying and troubleshooting issues, will continue to play a key role in shaping the platform’s future.
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