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.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
Claude Code v2.1.76 adds MCP elicitation, new hooks, sparse-checkout worktrees, /effort command, and session naming.
└──▷ GET THIS VERSION
$ git clone --branch v2.1.76 https://github.com/anthropics/claude-code.git
# already have the repo? check out this version:$ git checkout v2.1.76
└──▷ TRY IT
Name a session at startup so it's identifiable in Remote Control session lists and logs.
$ claude -n "incident-2025-investigation" --worktree
Load plugins from two separate directories (e.g. company-wide and personal) using the updated --plugin-dir flag.
$ claude --plugin-dir /opt/company-plugins --plugin-dir ~/.local/claude-plugins
›Adds MCP elicitation support — MCP servers can now request structured input mid-task via an interactive dialog (form fields or browser URL).
›Adds Elicitation and ElicitationResult hooks to intercept and override MCP elicitation responses before they're sent back.
›Adds -n / --name <name> CLI flag to set a display name for a session at startup.
›Adds worktree.sparsePaths setting for claude --worktree to check out only specified directories via git sparse-checkout in large monorepos.
›Adds PostCompact hook that fires after conversation compaction completes.
+4 moreshow less
›Adds /effort slash command to set the model effort level interactively.
›Adds session quality survey with configurable sample rate via the feedbackSurveyRate setting for enterprise admins.
›Improves background agent behavior — killing a background agent now preserves its partial results in the conversation context.
›Updates --plugin-dir to support repeated use for multiple directories (one path per flag).
└──▷ BREAKING ON UPGRADE
!--plugin-dir now only accepts one path per flag; use repeated --plugin-dir flags to specify multiple plugin directories.
›Adds --data-path CLI flag and LOCALAI_DATA_PATH environment variable to separate persistent agent/skill data from configuration.
›Adds LOCALAI_DISABLE_MCP environment variable to completely disable Model Context Protocol support.
›Adds HF_MIRROR environment variable to redirect HuggingFace model downloads to a mirror.
›Adds sample_rate support to the TTS API via post-processing resampling.
›Adds shell completion scripts for bash, zsh, and fish via dynamic completion support.
+17 moreshow less
›Adds WebSocket mode support for the Responses API.
›Introduces native agentic orchestration: full lifecycle management of agents (create, start, stop, connect to Slack, configure MCP servers and skills) via the new UI.
›Launches Agenthub (https://agenthub.localai.io) — a community hub for sharing and importing agents directly into LocalAI instances.
›Adds agent memory backends: hybrid search via PostgreSQL or embedded in-memory storage via Chromem.
›Adds 'Events' column to the Agents list page for observability of agent status and activity.
›Adds Canvas Mode to the chat UI: code blocks and artifacts generated by the LLM appear in a dedicated preview panel on the right.
›Adds MCP Apps support: select which MCP servers to enable per chat session from the UI; tools are automatically injected into the standard chat interface.
›Adds full client-side Model Context Protocol (MCP) support with tool streaming in chat.
›Adds WebRTC support to the Realtime API and Talk page for low-latency audio conversations.
›Adds experimental mlx-distributed backend for running distributed workloads using Apple's MLX framework.
›Adds fish-speech, ace-step.cpp, and faster-qwen3-tts (CUDA-only) audio backends.
›Adds multi-voice support for Qwen TTS.
›Adds vllm-omni backend detection for video generation model selection.
›Adds FreeRPC to backend.proto for explicit VRAM cleanup.
›Adds model storage size display with visual RAM warnings when model size exceeds system RAM.
›Migrates the web frontend to React for a modernized UI with tabbed System view separating Models and Backends.
›Adds improved trace display using accordions in the UI.
└──▷ BREAKING ON UPGRADE
!HuggingFace backend support has been removed; workloads relying on it will fail after upgrade.
!AIO images have been dropped; users relying on AIO images must switch to main images.
llama.cpp b8340 adds native AVX512-FP16 support for F16 operations, cutting instruction count by 2.7 billion on compatible CPUs.
└──▷ GET THIS VERSION
$ git clone --branch b8340 https://github.com/ggml-org/llama.cpp.git
# already have the repo? check out this version:$ git checkout b8340
›Adds native AVX512-FP16 support for F16 operations in ggml, reducing instruction count by ~2.7 billion on AVX512-FP16-capable CPUs; enabled only for native builds or with custom compiler flags.
llama.cpp b8339 adds env variables to override cuBLAS compute type and uses fp32 on V100 GPUs to prevent overflows.
└──▷ GET THIS VERSION
$ git clone --branch b8339 https://github.com/ggml-org/llama.cpp.git
# already have the repo? check out this version:$ git checkout b8339
›Adds environment variables to override the cuBLAS compute type, giving operators direct control over CUDA matrix-multiply precision without recompiling.
›Adds GGML_OPENVINO_DISABLE_SDPA_OPTIMIZATION environment variable to toggle scaled dot-product attention fusion in the new OpenVINO backend.
›Adds the OpenVINO backend (ggml-openvino) targeting Intel CPU, GPU (OpenCL), and NPU devices — enabling hardware-accelerated inference on Intel silicon without CUDA.
›Supports quantized model execution on the OpenVINO backend with custom quant types q8_1_c, q4_0_128, and Q8_0_C; NPU always requantizes weights to q4_0_128.
›Adds NPU prefill chunking for large-context inference on Intel NPU devices.
›Supports stateful graph execution mode on the OpenVINO backend (GPU and NPU) for improved decode-phase performance.
+5 moreshow less
›Supports BF16 model inference on the OpenVINO backend.
›Supports -ctk f32 cache type on the OpenVINO backend.
›Adds KV-cache fusion support (kvcachefusion) in the OpenVINO backend for improved memory and compute efficiency.
›Adds OpenVINO backend documentation at docs/backend/OPENVINO.md.
›Pre-built Ubuntu x64 binaries are now available with OpenVINO 2026.0 support.
›Enables the -kvu flag in llama-perplexity for --winogrande and hellaswag evaluation modes, allowing coupled-sequence batches that previously failed with 'failed to find a memory slot' errors.
$ git clone --branch v0.18.0 https://github.com/ollama/ollama.git
# already have the repo? check out this version:$ git checkout v0.18.0
└──▷ TRY IT
Run an automated code review in a GitHub Actions workflow without any interactive prompts.
$ ollama launch claude \
--model glm-5:cloud \
--yes \
-- "Do a quick code review of this pull request and respond on GitHub with a comment summarizing your feedback."
Use Ollama as the auth and model provider when setting up OpenClaw, pointing it at NVIDIA's new Nemotron-3-Super cloud model.
THE AI TOOLCHAIN