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Sunday, April 19, 2026

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GitHubintermediate

[Release] openclaw/openclaw v2026.4.19-beta.2: openclaw 2026.4.19-beta.2

steipeteApr 19, 2026

OpenClaw v2026.4.19-beta.2 addresses critical fixes for agent streaming, nested lane processing, and session token tracking. Key improvements include proper usage reporting for OpenAI-compatible backends, elimination of head-of-line blocking in nested agent runs, and preservation of session token totals across provider metadata variations. The release also ensures backward compatibility with legacy update verification for QA Lab runtime environments.

  • Always send `stream_options.include_usage` on OpenAI streaming requests to ensure local and custom backends report actual context usage instead of 0%
  • Scope nested agent work per target session to prevent long-running nested runs from blocking unrelated sessions across the gateway
  • Preserve carried-forward session token totals for providers that omit usage metadata to maintain accurate `/status` and `openclaw sessions` reporting
  • +3 more key points...
MonitoringMulti-Agent SystemsAgent TeamsReleasesUpdates & News
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[Release] openclaw/openclaw v2026.4.19-beta.1: openclaw 2026.4.19-beta.1

OpenClaw v2026.4.19-beta.1 releases critical fixes addressing cross-agent channel routing, Telegram callback handling, browser CDP connectivity, and Codex token accounting. Key improvements include proper account preservation in multi-agent setups, prevention of stale pagination buttons blocking updates, WSL-to-Windows Chrome endpoint detection, and accurate context usage reporting. Enhanced diagnostics for Windows browser startup failures provide better troubleshooting visibility.

steipete

63%
YT

AutoGen Sequential Pipeline 🔥 Build Multi-Agent Workflows (Research → Outline → Write)

This tutorial demonstrates how to build multi-agent sequential pipelines using AutoGen, enabling complex workflows that progress through distinct stages like research, outline creation, and writing. The course covers practical implementation of agent orchestration where tasks flow sequentially from one agent to the next, with each agent specializing in a specific role. The GitHub repository provides complete code examples for building production-ready multi-agent systems.

Nidhi Chouhan

46%
YT

AutoGen

AutoGen is a framework for building multi-agent AI applications where autonomous agents collaborate to solve complex problems. The platform enables developers to create sophisticated AI systems by orchestrating multiple specialized agents that work together. This approach allows for more robust and capable AI solutions compared to single-agent systems.

cyber94_com

31%

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YouTube10
GitHub2

Content Types

video (10)release (2)

Difficulty

beginner
8
intermediate
3
advanced
1

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