The Hub for AI Coding Models, Tools & Workflows

Developed by researchers from Software Heritage and European research universities, CodeGraph introduces the first large-scale open-taxonomy knowledge graph for source code. Scaling across 167 million files in the Stack-Edu corpus, it extracts implicit engineering abstractions—algorithms, architectural paradigms, and design patterns—via a code-specialized LLM and a three-stage Wikidata entity-linking pipeline, materializing 158 million nodes and approximately 1 billion typed edges across 14 languages.

Researchers from UIC exposed two structural flaws in autonomous agents reliant on human-curated toolkits: expert-selected tools frequently degrade anomaly detection across all backbones, while unguided self-revision silently breaks 38% of previously correct responses. They introduce TimeEvo, an architecture that clusters runtime failures into capability gaps, synthesizes evidence-only Python tools to address them, and admits candidate tools via paired verification gates. Starting from an empty toolkit, TimeEvo achieves consistent accuracy gains across all ten benchmarks.

Addressing the fundamental tension where prefill is compute-bound while decode is memory-bandwidth-bound, researchers from ISTA and Neural Magic introduced Disaggregated Quantization (DQ). By assigning compute-native NVFP4 weights to prefill and compact 2-3 bit weights to decode, paired with Offloaded Disaggregated Prefill (ODP) that streams prefill weights from SSD, DQ cuts Time-To-First-Token (TTFT) by 1.78x at 8K context and lifts 1-bit decode accuracy by 32.5 points on MMLU-Pro.

Cursor engineer @mattyp shows a Mac Mini becoming a Cloud Agent worker via `agent worker start`; `--computer-use` enables remote click/type/screenshot through Cursor Computer Use. Official Self-Hosted Machines keep inference in Cursor cloud and tool execution on your hardware over outbound HTTPS (My Machines + Team Pools).

Anthropic released Claude Sonnet 5.5 on 2026-09-28 (API id `claude-sonnet-5-5`), the second Claude 5.5-family model. Vs Sonnet 5: Terminal-Bench 4.0 70.6% (from 10.3%), CursorBench 4.0 55.5%, GDPval-AA near Opus 5.5; 30%+ faster output and up to ~30% lower task cost at the same $2/$10 pricing. Native 1M context; adaptive thinking on by default — use `between_tools` to disable up-front thinking.

Shanghai AI Lab’s LMDeploy shipped v0.18.0 on 2026-09-28: input logprobs, expanded SM90 quantized GEMMs with unified TurboMind linear paths, Ascend GLM-5.2, Qwen3.5 dflash, and MoE shared-expert/FFN sharding. PyTorch path prototypes TurboMind W4A16 (AWQ), piecewise CUDA Graph prefill, XTuner TileLang sparse MLA, checkpoint-engine weight updates, and request-only KV cache metrics.

MCP’s TypeScript monorepo shipped v2.2.0 on 2026-09-28: client/server/core/server-legacy/codemod aligned at 2.2.0. M2M OAuth providers should pass `expectedIssuer`; `fetchToken()` throws `AuthorizationServerMismatchError` on issuer mismatch. Cursor-less listTools/listPrompts/listResources/listResourceTemplates now follow `nextCursor` (capped by `listMaxPages`). Fixes the 2.1.0 CJS jose types regression and Client.listen() unhandled rejection / send hang.

Anthropic shipped Python SDK v1.9.0 on 2026-09-28: adds claude-sonnet-5-5, between_tools thinking, GA cache diagnostics on Message/MessageCreateParams, and optional tool execution while the reply streams. Managed Agents event filters and workspace rate-limit include_inherited/source land too, plus unnamed upload and stream()/parse() diagnostics fixes.

LangChain4j 1.20.2 (2026-09-28) focuses on Agent-to-Agent (A2A) client fixes: `tenant()` on `A2AClientInstance`/`A2AClientBuilder`, `@A2AClientAgent(tenant=…)` auto-attaches tenant on every `MessageSendParams` (or parses it from `/.well-known/{tenant}/agent-card.json`), and filters tenant method args so they are not exposed as LLM tool parameters. AgenticScope/ResultWithAgenticScope toString guards against circular refs.

Unsloth shipped v0.1.900-beta on 2026-09-28 (PyPI unsloth 2026.9.12): Desktop runs Laya Decision models locally via a Jev-compatible `/v1/systemone` endpoint, adds a Skills CRUD editor and Library viewers for PDF/Office, and improves Apple Silicon with batched serving, structured outputs, and TurboQuant KV. Media pipelines claim ~4.5× LTX-2.3 clips, 1.7–6.3× VAE decode, and up to ~1 minute faster MiniMax-H3 first render with 25–29 GiB lower peak VRAM.

OpenAI shipped Python SDK v3.20.0 on 2026-09-28: Agents credentials gain metadata and update-without-replace auth, sessions add ultrafast tier plus misalignment_policy_violation; Responses can select Cyber access programs (standard/daybreak_blue/daybreak_red); and an opt-in ResponsesWebSocketAccumulator yields immutable incremental text/tool snapshots. Live/Realtime WebSocket query/queue/TLS retry fixes land in the same cut.

Firecrawl published firecrawl-py 4.45.0 and @mendable/firecrawl-js 4.42.0 on 2026-09-28, shipping `agent_hints` preservation from [#4641](https://github.com/firecrawl/firecrawl/pull/4641): with `X-Firecrawl-Agent-Hints: true`, Search/Scrape/Parse/Map responses can include deterministic next-step suggestions. Also includes Hangar browser/interact migration and `exchange.onTermsRequired` fields.

OpenCode v1.18.33 (2026-09-28) makes Cloudflare AI Gateway models honor provider response/stream timeouts, reports MCP browser launcher exits, redacts credentials in debug config output, and aligns Gemini thinking defaults/effort options with supported controls across model generations.

Docker shipped cagent (docker-agent) v1.145.0 on 2026-09-28: ACP requests now propagate W3C `traceparent`/`tracestate` with server spans for each of the 13 implemented protocol handlers, plus new lint cops and a lean-TUI fix that preserves scrollback during partial streaming tool calls.

While looped language models enable depth-adaptive inference by executing fewer layer repetitions on easy tokens and more on complex tokens, variable loop counts break conventional batching engines like vLLM. Researchers from TUM and Imperial College introduced Continuous Depth Batching (CDB). By dynamically reorganizing batches between loop iterations, orchestrating looped KV-caches, and asynchronously predicting token exits, CDB achieves up to 99% of the theoretical maximum inference speedup across Ouro 1.4B and Huginn 3.5B architectures.

Shanghai AI Lab and OpenDataLab open-sourced InternW0-Δ, a unified World Action Model (WAM) pretrained on over 20,000 hours of curated robotic demonstrations, UMI data, and egocentric videos. Built on a Mixture-of-Transformers (MoT) architecture that binds visual predictive dynamics with robot actions, it introduces 'Causal Imprint' to inject future representations directly into the action expert without requiring costly future-video rollouts during inference.

Addressing the rapid saturation and benchmark overfitting of static LLM evaluations, Google DeepMind and Kaggle unveiled Game Arena. By orchestrating head-to-head live agent matchups with dynamic Elo rating evolution, Game Arena prevents performance saturation across three pilot environments: Chess (perfect information), Texas Hold'em Poker (imperfect information), and Werewolf (multiplayer social deduction and deception), systematically benchmarking long-horizon strategic reasoning.

Google shipped ADK Python v2.10.0 on 2026-09-25 (`google-adk` 2.10.0): experimental skill lifecycle (`ADK_ENABLE_SKILL_LIFECYCLE=1`) with ephemeral lifecycles and active skill limits; MongoDB toolset for vector/hybrid search; evaluation metrics for duration, tokens, and model-call counts; better OpenAI reasoning model parameter adaptation and reasoning-token reporting. BigQuery protected write mode and instruction templating tighten with breaking changes.

BerriAI shipped LiteLLM v1.103.0 on 2026-09-28: delegated MCP OAuth now requires admission; Capability classifier + Fuse V2 routers land; the proxy can predict prompt-cache costs across deployments, bind JWT claims to agents, add `tpd_limit`, bulk user/team APIs, and `/nvidia_nim` passthrough. Also: Bedrock S3 managed file delete/list, Friendli price auto-sync, Responses↔Chat reasoning mapping, and cosign image verification docs.

OpenAI shipped Codex rust-v0.158.0 on 2026-09-28 (`@openai/codex` 0.158.0): MCP servers with pre-registered OAuth client secrets (`codex mcp add --oauth-client-secret`); bearer-token auth for exec-server WebSockets; fullscreen TUI copy-on-select/right-click paste with Markdown-preserving copies; explicit transparent backgrounds for image gen/edit. Elevated-permission terminal approvals default on; Windows/Linux/macOS sandbox and approval-retry fixes land too.