OpenClaw v2026.4.10: Your Agent Gets a Second Brain

OpenClaw v2026.4.10 just landed, and this one changes how your agent works in meaningful ways. The headline feature is the Memory Wiki Stack — a persistent knowledge layer that lets your agent build and maintain its own long-term memory beyond MEMORY.md. There is also automatic provider fallback for media generation, webhook automation, and conversation branching. Here is what each one does and when it matters.

Memory Wiki Stack: your agent's second brain

The most significant addition in v2026.4.10 is the Memory Wiki Stack. Your agent can now actively build, query, and update a persistent knowledge layer during conversations — not just read from static files at startup.

Think of it as giving your agent a working memory it can actually write to. The agent can promote important context from a conversation into the Wiki Stack, query it later for relevant facts, and build structured knowledge entries over time.

This is especially useful for long-running agents: customer support bots, research assistants, personal productivity agents. Instead of losing context after each session, the agent can retain and retrieve what matters.

How memory dreaming fits in

The experimental dreaming feature also got more reliable. The grounded REM backfill lane means old daily notes can replay into Dreams without creating conflicts. A new optional Active Memory plugin automatically pulls relevant context into ongoing chats — no manual invocation needed.

Three cooperative dreaming phases (light, deep, REM) now work together instead of competing, with configurable aging controls so old memories naturally fade out.

Automatic media provider fallback

If you use image, music, or video generation and your primary provider hits a rate limit, OpenClaw now automatically tries the next compatible provider — without you having to re-run anything or reconfigure your setup.

This applies to all three media types: image_generate, music_generate, and video_generate. The fallback chain respects your configured provider priority, so you always get the best available result.

If you have been building error-handling logic around media generation rate limits, you can probably remove it now.

openclaw info: a unified CLI hub

v2026.4.10 introduces openclaw info as a first-class CLI command. Instead of separate commands for model info, media tasks, web search, and embeddings — it is all accessible through one unified interface with automatic provider detection.

Webhook automation

External tools and automation can now trigger task flows inside OpenClaw through per-root shared secret endpoints. This means:

• CI/CD pipelines can trigger agent tasks on deploy events
• External monitoring tools can alert your agent to take action
• CRM or webhook-enabled platforms can send data directly to your agent
• GitHub Actions can integrate agent work into development workflows

Each endpoint is authenticated with a per-root shared secret — secure without needing full OAuth setup.

Conversation branching

You can now split a conversation into independent threads. This is useful when you want to explore a tangent without derailing the main conversation, or when multiple sub-tasks naturally diverge.

Combined with pluggable compaction — which lets you define how conversations are summarized and archived — you get proper lifecycle management for long-running agent conversations.

Security hardening

Several security fixes shipped in v2026.4.10 that matter for production deployments:

• Gateway invalidates WebSocket sessions when auth tokens are rotated — no orphaned access
• Host execution sanitization blocks dangerous environment variable overrides for Git, Cargo, Kubernetes, and cloud credentials
• Browser SSRF protection checks are re-run after main-frame navigations — browser interactions can no longer bypass quarantine
• Plugin allowlist modifications now require owner access

How to update

npm install -g openclaw@latest

Or with Docker:

docker pull openclaw/openclaw:latest

Verify with:

openclaw version

What to try first

The Memory Wiki Stack if you run agents that need to retain context across sessions. Enable the Active Memory plugin and see how your agent starts building persistent knowledge.

Webhook automation if you have external tools that should trigger agent actions. The shared secret setup takes minutes and opens up a lot of integration possibilities.

Provider fallback if you rely on media generation. Test it by temporarily using an invalid API key — your agent should gracefully fall back instead of failing.