OpenClaw· Updated
OpenClaw 2026.4.7 introduces memory-wiki, a structured knowledge layer that organizes agent memory into verifiable claims and evidence instead of simple chat summaries. This update also adds a unified inference CLI and webhook-driven TaskFlows to automate complex agentic workflows.
memory-wiki system. This stack replaces standard chat summarization with a persistent record of claims and evidence. It also introduces openclaw infer, a unified hub for provider-backed inference (running a model to generate output).Most AI agents rely on lossy summarization that causes them to lose context or hallucinate over long sessions. By treating memory as a structured wiki with freshness-weighted search, agents stay grounded in verifiable facts. This shift, combined with new webhook-driven TaskFlows, allows for more reliable automation triggered by external services.
You can now branch and restore sessions to recover state from before context was summarized, or use new media fallbacks to switch between music and video providers. The update adds support for Gemma 4 and Ollama vision models. Version 2026.4.8 is the recommended stable release, available now on GitHub.
OpenClaw 2026.4.7 🦞 🔮 openclaw infer 🎬 music + video editing 💾 session branch/restore 🔗 webhook-driven TaskFlows 🤖 Arcee, Gemma 4, Ollama vision 🧠 memory-wiki: persistent knowledge, not just vibes Because “trust me bro” is not a knowledge system. https://t.co/L7OaBHA7Qg
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