The daily firehose — everything the toolchain shipped today, already filtered.
// HOW THIS ISSUE IS MADE
We read every release from the 174 tools on our watchlist at the source — GitHub and GitLab release notes, vendor release pages and changelogs, project blogs and feeds, vendor press releases, and the source code behind the tag. Bug-fix-only releases and non-product newsroom noise are dropped; what's left is summarized down to the new capability, how to try it, and any screenshots or videos the release itself published. Every entry links to the sources it was built from.
›Adds agent_servers.gemini.ignore_system_version config key: set to false to make Zed search $PATH for Gemini CLI before falling back to its bundled private copy.
›ACP agents now respect the always_allow_tool_actions setting, allowing tool actions to be auto-approved without per-action prompts.
›Zed now downloads and uses a private copy of the Gemini CLI binary by default, removing the dependency on a system-installed Gemini CLI.
$ git clone --branch v0.3.0-preview.1 https://github.com/google-gemini/gemini-cli.git
# already have the repo? check out this version:$ git checkout v0.3.0-preview.1
└──▷ TRY IT
Install, list, and remove a CLI extension without manually editing config files.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
CrewAI 0.175.0 adds Qdrant RAG support, crewai config reset, auto-injected trigger payloads, and a centralized embedding client system.
└──▷ GET THIS VERSION
$ git clone --branch 0.175.0 https://github.com/crewAIInc/crewAI.git
# already have the repo? check out this version:$ git checkout 0.175.0
└──▷ TRY IT
Clear cached login tokens from the local crewAI config when rotating credentials or switching accounts.
$ crewai config reset
›Adds Qdrant as a RAG provider, with a new generic Qdrant client alongside an existing ChromaDB client.
›Introduces a centralized embedding types system and a base embedding client for standardized embedding configuration.
›Adds crewai config reset command to clear stored tokens.
›Enables crewai_trigger_payload auto-injection into flows triggered by automation.
›Adds support for additional parameters in Flow.start() methods.
+3 moreshow less
›Displays task names in verbose CLI output for better observability.
›Simplifies RAG client initialization with a new RAG configuration system.
›Adds support to remove Auth0 and email entry on crewai login.
langchain-text-splitters 0.3.10 adds optional custom header pattern support for text splitting.
└──▷ GET THIS VERSION
$ git clone --branch langchain-text-splitters==0.3.10 https://github.com/langchain-ai/langchain.git
# already have the repo? check out this version:$ git checkout langchain-text-splitters==0.3.10
›Adds optional custom header pattern support to the text splitter, allowing callers to supply their own regex or pattern definitions for header detection.
LangChain v1.0.0a2 revamps create_react_agent, adds stuff and map-reduce chains, and drops Python 3.9 support.
└──▷ GET THIS VERSION
$ git clone --branch langchain==1.0.0a2 https://github.com/langchain-ai/langchain.git
# already have the repo? check out this version:$ git checkout langchain==1.0.0a2
›Revamps create_react_agent with updated internals for building ReAct-style agents.
›Adds stuff and map_reduce chains for document summarization and question-answering workflows.
›Adds minimal and verbosity options to the OpenAI integration.
└──▷ BREAKING ON UPGRADE
!Python 3.9 is no longer supported; LangChain v1 requires Python 3.10 or later.
Phoenix 11.30.0 adds a span document annotations API and missing-percentage visibility for experiment evaluations.
└──▷ GET THIS VERSION
$ git clone --branch arize-phoenix-v11.30.0 https://github.com/Arize-ai/phoenix.git
# already have the repo? check out this version:$ git checkout arize-phoenix-v11.30.0
›Adds a span document annotations API endpoint for annotating documents associated with spans.
›Experiments UI now shows the missing percentage for experiment evaluations, making gaps in eval coverage visible at a glance.