AI/ML Infrastructure Release Notes
Release notes for AI compute platforms, inference clouds and ML tooling
Products (17)
Latest AI/ML Infrastructure Updates
- Aug 1, 2026
- Date parsed from source:Aug 1, 2026
- First seen by Releasebot:Aug 2, 2026
Vercel AI SDK Provider (v3.0.1)
mem0 patches dependency vulnerabilities in brace-expansion and js-yaml via pnpm.overrides.
Security
Dependencies
Patched high and medium severity dependency vulnerabilities via pnpm.overrides (brace-expansion, js-yaml) (#6639)
Original source - Aug 1, 2026
- Date parsed from source:Aug 1, 2026
- First seen by Releasebot:Aug 2, 2026
Mem0 Python SDK (v2.0.15)
mem0 fixes delete_all pagination, Supabase and Elasticsearch vector search limits, and a col_info() crash, while updating LLMReranker's default model to gpt-5-mini.
Bug Fixes
Core: delete_all() now paginates through the vector store in batches of 1000 instead of listing once, so accounts with more memories than a single page (most vector stores default to ~100) had the remainder silently left behind (#6636)
Vector Stores: Cap Supabase search()/list() top_k at the vecs query limit of 1000 instead of erroring, and fix a col_info() crash by reading collection attributes directly instead of calling the removed describe() method (#6695)
Vector Stores: Set size on Elasticsearch KNN search queries, so results respect top_k instead of being capped at Elasticsearch's default of 10 hits (#5910)
Changes
Rerankers: LLMReranker's default model is now gpt-5-mini (was gpt-4o-mini) (#6703)
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- Aug 1, 2026
- Date parsed from source:Aug 1, 2026
- First seen by Releasebot:Aug 2, 2026
Mem0 Node SDK (v3.1.3)
mem0 adds server-side Qdrant BM25 keyword search, fixes pagination issues in deleteAll and Supabase list and search, improves Together embedding base URL handling, updates the default reranker model, and patches dozens of dependency vulnerabilities.
New Features
Vector Stores: Add Qdrant server-side BM25 keywordSearch() (requires Qdrant >= 1.15.2) plus payload filter indexes, so keyword search runs without a client-side BM25 dependency (#5851)
Bug Fixes
Core: deleteAll() now paginates through the vector store in batches of 1000 instead of listing once, so accounts with more memories than a single page had the remainder silently left behind (#4872)
Vector Stores: Supabase list() now paginates past PostgREST's 1000-row cap instead of stopping at the first page, search() warns when results may have been truncated by that same cap, and the initialization probe reads a row instead of writing a test vector, so Row Level Security policies that only grant read access no longer fail table verification (#6695)
Embeddings: Honor TOGETHER_API_BASE in the Together embedder, matching the Together LLM provider, so a custom gateway URL is no longer silently ignored for embeddings (#6572)
Changes
Rerankers: RerankerFactory's default LLM reranker model is now gpt-5-mini (was gpt-4o-mini) (#6703)
Security
Dependencies: Patched 32 high and 57 medium severity dependency vulnerabilities across the pnpm workspace via pnpm.overrides (axios, brace-expansion, js-yaml, postcss, protobufjs, mongoose, tar, fast-xml-parser, thrift) (#6639)
Original source - Aug 1, 2026
- Date parsed from source:Aug 1, 2026
- First seen by Releasebot:Aug 2, 2026
Mem0 Pi Agent Plugin (v0.1.4)
mem0 patches high and medium severity dependency vulnerabilities in key packages.
Security
Dependencies
Patched high and medium severity dependency vulnerabilities via pnpm.overrides (axios, brace-expansion, postcss, mongoose, protobufjs) (#6639)
Original source - Aug 1, 2026
- Date parsed from source:Aug 1, 2026
- First seen by Releasebot:Aug 2, 2026
Mem0 OpenClaw Plugin (v1.0.15)
mem0 improves onboarding suggestions and patches dependency vulnerabilities for stronger security.
Improvements
Onboarding suggestions: The example commands shown by openclaw mem0 config show now suggest gpt-5-mini instead of gpt-4o (#6704)
Security
Dependencies: Patched high and medium severity dependency vulnerabilities via pnpm.overrides (protobufjs, axios, postcss, mongoose) (#6639)
Original source - Jul 30, 2026
- Date parsed from source:Jul 30, 2026
- First seen by Releasebot:Jul 31, 2026
Mem0 n8n Integration
mem0 republishes its npm package with signed provenance attestation to support n8n Creator Portal verification.
Changes
Published with npm provenance: Republished through the n8n-nodes-mem0-cd.yml GitHub Actions workflow so the package carries a signed provenance attestation. 0.1.0 was published manually and has none, which blocks submission for n8n Creator Portal verification. No functional changes (#6685)
Original source - Jul 30, 2026
- Date parsed from source:Jul 30, 2026
- First seen by Releasebot:Jul 31, 2026
Workflow Automation: Mem0 Memory in n8n and Zapier
mem0 adds no-code automation integrations for n8n and Zapier, giving workflows durable memory with add, search, get, update, and delete actions plus AI Agent support for automatic recall. Both connect with a single API key and can use self-hosted deployments.
Mem0 now plugs into two no-code automation platforms, so workflows that used to start from zero on every run can store durable facts and recall them later.
n8n community node
@mem0/n8n-nodes-mem0 adds a Mem0 node with a Memory resource covering Add, Search, Get, Get Many, Update, and Delete. Install it from Settings → Community Nodes on a self-hosted instance, then connect your API key once as a Mem0 API credential. See n8n.
n8n AI Agent tool
Attach the same node to an AI Agent node and it becomes a tool the agent calls on its own, so it can decide when to remember and when to recall.
Zapier app
Add Memory, Search Memories, Get Memories, and Delete Memory actions let any of Zapier’s thousands of apps write and read Mem0 context with no code and no server. See Zapier.
One-time connection
Both integrations authenticate with a single Mem0 API key and default to https://api.mem0.ai , with a configurable base URL for self-hosted deployments.
Note: The Zapier app is not yet listed in Zapier’s public App Directory. Email [email protected] for an invite link.
Original source - Jul 30, 2026
- Date parsed from source:Jul 30, 2026
- First seen by Releasebot:Jul 31, 2026
Inkling Small available on Baseten
Baseten adds Inkling Small to Baseten Model APIs, bringing OpenAI-compatible access to Thinking Machines Lab’s multimodal model with a 1M-token context window, tool calling, structured outputs, and controllable reasoning for lower-latency, lower-cost workloads.
Inkling Small is now available through Baseten Model APIs. Send requests to thinkingmachines/inkling-small through our OpenAI-compatible endpoint with your Baseten API key. Dedicated deployments are also available for larger workloads.
Inkling Small is Thinking Machines Lab’s open-weights, 276B-parameter mixture-of-experts model with 12B active parameters. It retains Inkling’s 1M-token context window, native text, image, and audio inputs, tool calling, structured outputs, and controllable reasoning in a smaller model designed for workloads where latency and inference cost matter. Thinking Machines reports comparable performance to Inkling at roughly one-quarter its size.
curl https://inference.baseten.co/v1/chat/completions \ -H "Authorization: Bearer $BASETEN_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "thinkingmachines/inkling-small", "messages": [ { "role": "user", "content": "Compare sparse and dense transformer architectures." } ], "reasoning_effort": "medium" }'For supported reasoning settings and multimodal request examples, see the docs.
Original source - Jul 29, 2026
- Date parsed from source:Jul 29, 2026
- First seen by Releasebot:Jul 30, 2026
Gemini Enterprise Agent Platform by Google
July 29, 2026
Gemini Enterprise Agent Platform adds a Preview Feedback service to collect and manage user sentiment, labels, and trace-linked insights.
Feature
Gemini Enterprise: Feedback service (Preview)
The Feedback service on Gemini Enterprise Agent Platform is available in Preview. The Feedback service lets you collect, analyze, and manage end-user qualitative feedback, such as thumbs-up and thumbs-down sentiments and feedback labels from interactions between your agents and users. You can also view feedback entries alongside traces in the console or export them to Cloud Trace to troubleshoot your agents.
For more information, see Feedback service overview.
Original source - Jul 29, 2026
- Date parsed from source:Jul 29, 2026
- First seen by Releasebot:Jul 30, 2026
July 29, 2026
Together AI deprecates a broad set of fine-tuning models, including Qwen, DeepSeek, Llama, Gemma, Mistral, and Kimi variants, and points users to migration options.
Deprecations
The following models have been deprecated and are no longer available for fine-tuning:
- nvidia/NVIDIA-Nemotron-Nano-9B-v2.
- Qwen/Qwen3-Next-80B-A3B-Instruct.
- Qwen/Qwen3-Next-80B-A3B-Thinking.
- Qwen/Qwen3-0.6B.
- Qwen/Qwen3-0.6B-Base.
- Qwen/Qwen3-1.7B.
- Qwen/Qwen3-1.7B-Base.
- Qwen/Qwen3-4B.
- Qwen/Qwen3-4B-Base.
- Qwen/Qwen3-8B.
- Qwen/Qwen3-8B-Base.
- Qwen/Qwen3-14B.
- Qwen/Qwen3-14B-Base.
- Qwen/Qwen3-32B.
- Qwen/Qwen3-30B-A3B-Base.
- Qwen/Qwen3-30B-A3B.
- Qwen/Qwen3-30B-A3B-Instruct-2507.
- Qwen/Qwen3-235B-A22B.
- Qwen/Qwen3-235B-A22B-Instruct-2507.
- Qwen/Qwen3-Coder-30B-A3B-Instruct.
- Qwen/Qwen3-Coder-480B-A35B-Instruct.
- Qwen/Qwen3-VL-8B-Instruct.
- Qwen/Qwen3-VL-32B-Instruct.
- Qwen/Qwen3-VL-30B-A3B-Instruct.
- Qwen/Qwen3-VL-235B-A22B-Instruct.
- Qwen/Qwen2.5-72B-Instruct.
- Qwen/Qwen2.5-72B.
- Qwen/Qwen2.5-32B-Instruct.
- Qwen/Qwen2.5-32B.
- Qwen/Qwen2.5-14B-Instruct.
- Qwen/Qwen2.5-14B.
- Qwen/Qwen2.5-7B-Instruct.
- Qwen/Qwen2.5-7B.
- Qwen/Qwen2.5-3B-Instruct.
- Qwen/Qwen2.5-3B.
- Qwen/Qwen2.5-1.5B-Instruct.
- Qwen/Qwen2.5-1.5B.
- Qwen/Qwen2-72B-Instruct.
- Qwen/Qwen2-72B.
- Qwen/Qwen2-7B-Instruct.
- Qwen/Qwen2-7B.
- Qwen/Qwen2-1.5B-Instruct.
- Qwen/Qwen2-1.5B.
- moonshotai/Kimi-K2.5.
- moonshotai/Kimi-K2-Thinking.
- moonshotai/Kimi-K2-Instruct-0905.
- moonshotai/Kimi-K2-Instruct.
- moonshotai/Kimi-K2-Base.
- zai-org/GLM-5.
- zai-org/GLM-4.7.
- zai-org/GLM-4.6.
- deepseek-ai/DeepSeek-R1-0528.
- deepseek-ai/DeepSeek-R1.
- deepseek-ai/DeepSeek-V3-0324.
- deepseek-ai/DeepSeek-V3.
- deepseek-ai/DeepSeek-V3.1-Base.
- deepseek-ai/DeepSeek-V3-Base.
- deepseek-ai/DeepSeek-R1-Distill-Llama-70B.
- deepseek-ai/DeepSeek-R1-Distill-Llama-70B-32k.
- deepseek-ai/DeepSeek-R1-Distill-Llama-70B-131k.
- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B.
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B.
- meta-llama/Llama-4-Scout-17B-16E.
- meta-llama/Llama-4-Maverick-17B-128E.
- meta-llama/Llama-3.3-70B-32k-Instruct-Reference.
- meta-llama/Llama-3.3-70B-131k-Instruct-Reference.
- meta-llama/Llama-3.2-3B-Instruct.
- meta-llama/Llama-3.2-3B.
- meta-llama/Llama-3.2-1B-Instruct.
- meta-llama/Llama-3.2-1B.
- meta-llama/Meta-Llama-3.1-8B-131k-Instruct-Reference.
- meta-llama/Meta-Llama-3.1-8B-Reference.
- meta-llama/Meta-Llama-3.1-8B-131k-Reference.
- meta-llama/Meta-Llama-3.1-70B-Instruct-Reference.
- meta-llama/Meta-Llama-3.1-70B-32k-Instruct-Reference.
- meta-llama/Meta-Llama-3.1-70B-131k-Instruct-Reference.
- meta-llama/Meta-Llama-3.1-70B-Reference.
- meta-llama/Meta-Llama-3.1-70B-32k-Reference.
- meta-llama/Meta-Llama-3.1-70B-131k-Reference.
- meta-llama/Meta-Llama-3-8B-Instruct.
- google/gemma-3-270m.
- google/gemma-3-270m-it.
- google/gemma-3-1b-it.
- google/gemma-3-1b-pt.
- google/gemma-3-4b-it.
- google/gemma-3-4b-it-VLM.
- google/gemma-3-4b-pt.
- google/gemma-3-12b-it.
- google/gemma-3-12b-it-VLM.
- google/gemma-3-12b-pt.
- google/gemma-3-27b-it.
- google/gemma-3-27b-it-VLM.
- google/gemma-3-27b-pt.
- mistralai/Mixtral-8x7B-v0.1.
- mistralai/Mistral-7B-Instruct-v0.2.
- mistralai/Mistral-7B-v0.1.
- togethercomputer/llama-2-7b-chat.
See Deprecations for migration options.
Original source