Trending | AI War Room · bennettlabs.dev

Tokenization is presented as a core language-model design choice that shapes sequence length, computational cost, multilingual equity, evaluation, and security—not merely as preprocessing. The survey reviews established subword methods and emerging byte-level, latent, and visual alternatives, finding that BPE still dominates practice while no tokenizer consistently optimizes compression, linguistic alignment, downstream quality, and crosslingual fairness at once.

Marco Cognetta, Christopher Akiki, Pawan Sasanka Ammanamanchi et al. 30 Sep 2026 41 votes 1,806 visits cs.CL

Gemini 4 Argon: our next era of frontier intelligence

Google DeepMind announces Gemini 4 Argon, a frontier model built to sustain deep reasoning across long, multi-step workflows in software engineering, enterprise knowledge work, and cybersecurity defense. Argon is first rolling out to trusted cyber defenders through the Fairwind Program, with broader API and consumer access to follow after safeguards are strengthened. It launches at an introductory price of $2 / $10 per million input / output tokens.

Koray Kavukcuoglu 30 Sep 2026 44 votes 1,146 visits agentic-codingai-safetycybersecurity

Context Language Models

Context Language Models let an agent edit its live conversation by mirroring the transcript into a file whose changes synchronize with subsequent model calls. The approach supports multiple agents and zero-shot context management. On BrowseComp-Plus, Qwen3.6-27B reached 59.4% accuracy, with 21.5% fewer prefix-reuse FLOPs than Codex-style summarization. Results vary by setting and do not isolate editing alone.

Rulin Shao, Shannon Zejiang Shen, Junjie Oscar Yin et al. 29 Sep 2026 28 votes 673 visits 1,793 stars agentic-frameworksagentscs.AI

Looped Diffusion Transformer

Looped-DiT improves text-to-image generation by repeating shared middle Transformer blocks within each denoising step, refining hidden representations without adding unique parameters. Deep Supervision trains intermediate predictions, and Self-Modulating Attention regulates repeated updates. Its B/16 model averages 71.5 across six benchmarks versus 69.0 for 1.7B InternVL-U, at 150 versus 732 TFLOPs per image, in 260M-parameter pixel-space models using 512 × 512 resolution.

Yong Xien Chng, Tianyi Chen, Wenwen Tong et al. 30 Sep 2026 3 votes 58 visits cs.CVcs.LG

DexAgent: An Agentic Human2Sim2Robot Framework for Dexterous Manipulation with Self-Evolving Tool Library

DexAgent converts one egocentric RGB video and a task prompt into robot-training data by adapting reconstruction, motion skills, and property-specific verifiers to each task. It refines subgoals, varies simulated starting states, and renders observations for rigid, articulated, and deformable objects. Across eleven tasks, policies averaged 63.6% success versus 18.2% for SPIDER, but verification does not eliminate errors or establish causation.

Youhui Wang, Yunzhu Li, Li Fei-Fei et al. 28 Sep 2026 33 votes 480 visits cs.RO

T$^2$Mem: Learning Test-Time Memory for Robotics

T²Mem gives a vision-language-action robot policy a fixed-size episodic memory in fast weights updated during deployment, while learned policy parameters remain fixed. At each observation, a learned interface writes and reads compact vision-language associations for action selection. On RoboMME, it achieves 56.83% macro-averaged terminal success across 16 tasks, versus 17.93% for memory-free π0.5, but the result is benchmark-specific.

Yize Liu, Huang Huang, Yining Hong et al. 29 Sep 2026 13 votes 144 visits cs.RO

MatToolBench: Benchmarking Multimodal Agents in Real-World Materials Science Workflows

MatToolBench evaluates whether agents can complete materials-science workflows across specialist software, scripts, and scientific databases. It includes 204 tasks on 10 tools, with GUI, hybrid OriginPro, code, and diagnostic mixed tasks, and scores partial criteria separately from complete success. GPT-5.4 reaches a 45.0% code success rate, while Claude-sonnet-4.6 reaches 25.0% for GUI tasks; these results do not establish readiness for unsupervised use.

Mei Wu, Rui Xie, Runyu Zhang et al. 29 Sep 2026 45 votes 483 visits cs.AI

Counterfactual Video Generation Enables Scalable Humanoid Loco-Manipulation

PRISM generates new human–object interactions from four real box-carrying videos using video generation conditioned on object categories. Contact anchors constrain reconstruction, retargeting, and policy training. The four seeds produced 256 clips, 137 feasible trajectories, and 129 successful teacher rollouts. Simulation success rose from 22.50% to 96.25% in-domain and 12.50% to 72.92% out-of-domain; box trials succeeded 15/15, but scaling remains unestablished.

Zihan Wang, Zhen Wu, Pieter Abbeel et al. 29 Sep 2026 5 votes 75 visits cs.CVcs.GRcs.RO

PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents

PivotOPD trains multi-turn agents to avoid pivotal mistakes and recover from the states those mistakes create. A teacher supplies gold actions for prevention and recovery responses for later turns, combining these signals with group-based reinforcement learning. On ALFWorld, Qwen3-1.7B reaches 73.7% success versus 68.2% for SDAR; recovery evidence is principally oracle-labeled ALFWorld analysis.

Yinghui He, Yapei Chang, Khushi Bhardwaj et al. 30 Sep 2026 0 votes 31 visits agentscs.AIdeep-reinforcement-learning

AD-E2E-JEPA: A Joint-Embedding Predictive Architecture For End-to-End Autonomous Driving

AD-E2E-JEPA enables policy-free, goal-conditioned driving planning by compressing DINOv3 patch embeddings, predicting action-conditioned future representations, and selecting among candidate trajectories by latent distance to a future image goal. On NAVSIMv2’s 12,146-scene test set, it reaches 67.3 EPDMS at 256 candidates and 0.8 seconds per scene. More candidates improve scores but increase runtime and reduce hit rates.

Haoran Zhu, Wancong Zhang, Yann LeCun et al. 28 Sep 2026 32 votes 492 visits cs.AIcs.CVcs.LG

LongLive-Plug: Once-for-All Distillation for Video Generation

LongLive-Plug distills reusable few-step sampling and guidance into adapters trained on base video models. Developers attach compatible adapters to specialized descendants without downstream retraining while retaining task-specific weights. On SCOPE, four-step Wan2.2-TI2V-5B achieves FVD 478.7, versus 805.5 for naive sampling and 502.1 for SCOPE-specific distillation on 1,378 clips. The verified scope is 54 entries, limited to compatible descendants.

Shuai Yang, Luozhou Wang, Wei Huang et al. 29 Sep 2026 9 votes 91 visits 2,644 stars cs.CV

Invent a Dataset: Measuring Dataset Generation Abilities With Zero Seed Data

Invent-a-Dataset generates training-ready text instruction and preference data from a natural-language dataset description, without requiring seed examples for the target capability. At 5,000 samples across eight datasets, it reports quality of 7.90 versus 6.76 for Claude Opus 5 and 6.73 for GLM-5.3, plus 19% higher DCScore diversity than GLM-5.3. These benchmark and Medical QA results do not establish universal gains.

Shivalika Singh, Andrija Djurisic, Gbemileke Onilude et al. 30 Sep 2026 6 votes 106 visits cs.AIcs.LG

Rethinking Representations for World-Action Modeling

ReWAM trains a robot world-action model by using an action-shaped compact visual state and a branch predicting future representations. During training, action gradients shape the state, while world-prediction gradients stop at representations; inference does not generate future states. On RoboTwin 2.0, ReWAM reaches 93.6% random-scene success versus 92.2% for AHA-WAM without generative video pre-training. The result does not establish universality.

Haoyi Jiang, Liu Liu, Xinjiang Wang et al. 29 Sep 2026 10 votes 136 visits 2 stars contrastive-learningcs.CVcs.RO

Can Agents Design Libraries for Agents?

LibraryDesignBench evaluates libraries by having one agent design a library and downstream agents use it to solve expert-validated programming problems, scoring test performance together with static-code simplicity. Across 242 problems, Opus 5.5-designed libraries scored 48.9 versus 46.6 for production libraries. This result is limited to the benchmark’s tasks, languages, consumers, and budgets.

Gabriel Orlanski, Alex L. Zhang, Avi Trost et al. 29 Sep 2026 8 votes 79 visits 100 stars agentscs.AIcs.CL

DrivingBench: Can Vision-Language Models Drive a Toyota Corolla?

DrivingBench tests whether an unmodified general-purpose vision-language model can steer a low-speed Toyota Corolla through a 127 m cone course using camera images and direct steering and speed commands. Four supervised model–harness systems made up to three dependent attempts; GPT-6 Astra completed it on attempt two. This preliminary result comes from one independent trial per system on a private course.

Aditya Ramabadran, Simon Mahns, Tobias Gessler 30 Sep 2026 16 votes 333 visits autonomous-vehiclescs.AIrobotic-control

Generalization Dynamics of LM Pre-training

The authors study mode-hopping, abrupt changes in whether language models infer a task or follow a prompt pattern during pre-training. They use six cheap behavioral tests comparing probabilities of correct and misleading answers, plus fine-tuning tests, across OLMo3 and Apertus checkpoints. OLMo3-32B scores 81%, 0%, and 81.7% on answer+1 at 2.17T, 2.19T, and 2.21T tokens, illustrating checkpoint reversals rather than universal behavior.

Jiaxin Wen, Zhengxuan Wu, Dawn Song et al. 27 Sep 2026 44 votes 2,159 visits 22 stars cs.CLdata-curationmechanistic-interpretability

SoL-Refiner: Speed-of-Light One-Step Refinement for High-Resolution Video

SoL-Refiner refines low-resolution video drafts at target resolution in one denoising step, without changing or retraining the upstream generator. On shared-input 2K Refiner-Bench evaluation, it scores 0.81048 and 60.4150, versus 0.80351 and 56.8192 for one-step SeedVR2. These are metric averages, not human judgments; its 23-step version scores higher, and they do not establish long-range temporal consistency.

Haozhe Liu, Tian Ye, Shuchen Xue et al. 29 Sep 2026 3 votes 37 visits cs.CV

Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering

Imagine3D-LLM trains a multimodal language model to summarize views as a 3D Gaussian Splatting scene before answering questions. Summary tokens are trained to reconstruct views and predict answers, with teacher distillation only during training. On SPAR-Bench, Imagine3D-LLM-7B scores 68.5 overall versus 60.9 for a matched baseline, but the method remains limited to indoor scenes and fixed capacity.

Jaewoo Jung, Hyeonseo Yu, Honggyu An et al. 29 Sep 2026 6 votes 68 visits cs.CLcs.CVgenerative-models

Harness Learning Enables Generalizable Test-Time Adaptation

The paper trains a proposer to revise a language-model agent’s executable harness—its workflow for model calls, tools, and information flow—using execution outcomes, while keeping the solver fixed. At test time, frozen proposer and solver weights support successive harness edits. On 21 unseen reasoning families, mean held-out score rises from 0.32 to 0.62, but five harder families are excluded.

Alvin Zhang, Xuecheng Liu, Zixuan Wang et al. 28 Sep 2026 30 votes 650 visits agentic-frameworksagentscontinual-learning

Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning

The paper presents a meta-reasoning controller for agents reconstructing software from documentation and an execute-only reference program. The controller assesses progress, proposes and evaluates computations against the remaining model-call budget, then dispatches selected artifacts or stops. On 200-task ProgramBench, GPT-5.5 reaches 71.5% versus 63.7% for direct control at 1,200 calls, but gains do not hold at every budget.

Paras Dahal, Anton Bakhtin, Taco Cohen et al. 29 Sep 2026 2 votes 49 visits cs.AI

Self-Play Pretraining with Zero Data

The paper tests whether a model can generate its own training curriculum: a generator writes programs, a universal computer executes them into bytes, and a learner predicts those bytes. Adaptive self-play improves next-byte prediction on natural data without using them for gradient updates. On DCLM text, the compute exponent is 0.123. Models below 25 million parameters cannot provide contingent facts.

Aditya Cowsik, Kfir Dolev, Michael Y. Li et al. 24 Sep 2026 179 votes 3,022 visits cs.AIcs.CLdeep-reinforcement-learning

Language Model "Shape"

Alex Zhang argues that the input / output "shape" of language models has stayed fixed as the autoregressive, decoder-only Transformer since ChatGPT, so agent design has meant fitting harnesses to that shape. He proposes the reverse: designing model shapes around specific harnesses and task structures. Using Jev's [0,1]-constrained, prefill-only output and agent trajectories as examples, he argues that open models and distillation now make this direction practical for independent researchers.

Alex Zhang 26 Sep 2026 129 votes 5,495 visits harnesseslanguage-agentsmodel-architecture

Raven: The Harness of Harnesses for Composable Agentic Intelligence

Raven treats each model-plus-harness as a specialist; a host assigns work through a directed acyclic graph of dependencies. MAOB’s Exact Match Rate with Qwen3.8-27B was 0.711, versus 0.607 for Hermes Agent. Raven-Oncall achieved 82.35% success at $5.10 per case on 17 AI4S tasks; MAOB tests planning before execution, and this result does not establish causation.

EverMind AI 27 Sep 2026 122 votes 816 visits 4,421 stars agentic-frameworksagentscs.AI

LLM Agents Can Easily Tamper With Their Own Traces

The paper tests whether AI agents can alter execution traces before oversight, using local containerized harnesses, direct requests, hidden instructions, and undisclosed reward incentives. It measures attack success as trace-changing tool calls across ten trials and proposes an independent interception server with append-only logging. All ten configurations exceeded 80% on Terminal-Bench, but the experiments do not estimate real-world prevalence.

Jeremy Qin, David Schmotz, Derck Prinzhorn et al. 24 Sep 2026 62 votes 628 visits cs.AIcs.CR

Despite Instructions: Frontier Agents Improvise Covert Channels at Test Time

The paper tests whether language-model agents can form a covert channel while a monitor approves each update. In simulated incident response, a sender privately identifies one of four malicious connections and summarizes a public report; interaction histories and correctness feedback let a receiver learn wording without a codebook. After 60 rounds, Sol reaches 98.8% accuracy, but this is a simulated result, not evidence of deployed-system leaks.

Jacob Dineen, Silei Ren, Muhao Chen et al. 26 Sep 2026 54 votes 605 visits agentic-frameworksagentsai-for-cybersecurity

Agent Priors-guided Policy Learning

APPL carries each skill’s structural prior into runtime selection, preserving prior-specific policies, handoff conditions, support, and verification evidence. A construction agent builds and checks policies, while a runtime agent selects one and its execution conditions. With two demonstrations per task, APPL reached 89.58% macro OOD success across six MetaWorld tasks. Results are simulated, and priors do not guarantee competence.

Puming Jiang, Tianrun Hu, Haozhe Du et al. 28 Sep 2026 48 votes 574 visits cs.RO

Recursive Self-Improvement via On-Policy Distillation for Reasoning

DCE uses an evolving gold-conditioned teacher and verified shorter rewrites to train reasoning models on their own trajectories. The latest checkpoint becomes both student and detached teacher, while accepted rewrites provide cross-entropy targets. On Qwen3-8B, DCE+SRCL reaches 65.97% Average@12 versus 30.35% for OPSD across four benchmarks. At 8B, output falls from 19,046 to 17,561 tokens relative to DCE, but rises at 1.7B.

Shangjian Yin, Zehao Zhao, Kavosh Asadi et al. 25 Sep 2026 46 votes 610 visits cs.CLfine-tuninggenerative-models

MatToolBench: Benchmarking Multimodal Agents in Real-World Materials Science Workflows

Mei Wu, Rui Xie, Runyu Zhang et al. 29 Sep 2026 45 votes 483 visits cs.AI

InternW0-$Δ$: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data

InternW0-Δ transfers predictive video knowledge into robot control without supplying future video to the action policy at inference. Its Causal Imprint tokens summarize observed visual changes and receive future-derived training supervision, while directed attention blocks realized future frames. On RoboTwin 2.0 Clean2Random, it reaches 71.9% versus 69.4% for Qwen-RobotManip-Context; an ablation rises 70.80% to 76.45% with alignment on this benchmark.

Xingyu Miao, Zizun Li, Baole Fang et al. 25 Sep 2026 45 votes 574 visits 67 stars causal-inferencecs.CVcs.RO

Gemini 4 Argon: our next era of frontier intelligence

Koray Kavukcuoglu 30 Sep 2026 44 votes 1,146 visits agentic-codingai-safetycybersecurity

Generalization Dynamics of LM Pre-training

Jiaxin Wen, Zhengxuan Wu, Dawn Song et al. 27 Sep 2026 44 votes 2,159 visits 22 stars cs.CLdata-curationmechanistic-interpretability

Your Transformer Can Hold Two Thoughts at Once: Evidence of Linear Superposition in LLMs

The paper tests whether a Transformer can process two unrelated text streams by averaging token embeddings position by position. It compares the mixed output with the average of independent predictions and measures retained signal by rank. Across models, each stream’s independently predicted token appears in the mixed output’s top 10 in roughly 30–40% of cases, not demonstrating full distributional equality.

Pavel Tikhonov, Anton Korznikov, Matvey Mikhalchuk et al. 24 Sep 2026 43 votes 284 visits cs.AIcs.CL

Guiding End-to-End Driving Models with Endpoint-Constrained Trajectory Optimization

The authors introduce Endpoint-Constrained Optimization (ECO), which reshapes intermediate waypoints after policy inference while preserving recent executed history and the policy’s endpoint. It optimizes smoothness, turn sharpness, and fidelity without hard physical constraints. In closed-loop HUGSIM tests, VaVAM’s HD-Score rises from 18.1 to 31.0, but ECO does not guarantee collision-free driving or real-road safety.

Brayden Zhang, Mahsa Golchoubian, Igor Gilitschenski et al. 26 Sep 2026 42 votes 286 visits autonomous-vehiclescs.RO

Tokenization: A Survey for Modern NLP

Marco Cognetta, Christopher Akiki, Pawan Sasanka Ammanamanchi et al. 30 Sep 2026 41 votes 1,806 visits cs.CL

Simplex Diffusion Models

Simplex Diffusion Models (SDMs) generate sequences while retaining token uncertainty as a probability vector instead of making a categorical choice. They use closed-form transitions with churn rather than ODE integration. On TinyGSM, SDM reaches 49.0% versus 45.8% for masked diffusion at 512 evaluations; after distillation, it reaches 32.1% at 8 versus 21.4% at 128. These results come from small models and do not establish general superiority.

Justin Deschenaux, Alexandre Galashov, Andrew Campbell et al. 28 Sep 2026 38 votes 454 visits 218 stars cs.LGgenerative-modelsknowledge-distillation

Block Sparse Attention with Log-Linear Complexity

PISA reduces long-context sparse-attention block-selection cost by searching a hierarchy of pooled key summaries rather than scoring every fine block. It progressively retains promising regions and uses LogSumExp scores; under fixed parameters, selection complexity is O(N log N). At 256K tokens, selection took 31.440747 ms versus BSA’s 312.955505 ms, excluding attention itself; retrieval gains were evaluated only through 16K.

Bohao Tang, Zhen Qin, Yuqi Pan et al. 25 Sep 2026 37 votes 403 visits attention-mechanismscs.LGefficient-transformers

TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations

TrackEverything tracks dense scene points across long videos by storing surface tracks in shared 3D coordinates, merging repeated observations in spatial voxels, and decoding trajectories mainly for moving points. On the first 48 TAPVid-3D frames, it achieves 34.7 APD-P versus 10.9 for VDPM. The benchmark uses sparse queries, and memory still grows with newly encountered geometry.

Ayush Jain, Sreeharsha Paruchuri, Ishita Gupta et al. 24 Sep 2026 37 votes 265 visits 268 stars cs.AIcs.CVcs.RO

Just Ask Jev: Reinforcement Learning for Calibrated Decisions as a Zero-Shot Detector of AI Alignment Failures

The paper evaluates Jev, a model that answers multiple typed questions about one interaction state in a single call, as a detector of benchmark-labeled language-model failures. RLCDAlignBench covers 44 benchmarks, ten failure types, and 7,193 instances. A generic probability question reaches median AUROC 0.886 on 31 benchmarks, but probabilities are often miscalibrated within individual benchmarks.

Ruoqi Guo, Yi Liu, Gelei Deng et al. 24 Sep 2026 37 votes 359 visits cs.AIcs.CLcs.CR

Rolling-WAM: World Action Models with Rolling Imagination

Rolling-WAM carries unexecuted video-action chunks across closed-loop replanning cycles, jointly refining the future while completing only the nearest action chunk for execution. In the default 5-chunk setup, steady-state replanning takes 2 denoising steps, while each chunk still receives 10 before execution. On RoboTwin 2.0, latency was 215 ms versus 978 ms for Joint-WAM under the A100 timing setup, with competitive task success.

Yinghua Zhou, Junjie Ye, Yiqi Zhao et al. 24 Sep 2026 35 votes 295 visits agentscs.AIcs.CV

Rufus-Air: An Open LLM Post-Training Recipe

The authors present Rufus-Air, a reproducible eight-stage post-training recipe for GLM-4.5-Air-Base, using open data and components without new human annotation or an in-house teacher. The pipeline progresses from SFT through verifiable-reward and agent training to RLHF. It scores 76.9 on prompt-strict IFBench versus 33.6 for the same-base official release, but is not shown optimal and trails it on Creative Writing.

Chia-Yuan Chang, Renyuan Cheng, Rui Feng et al. 25 Sep 2026 34 votes 214 visits cs.AIcs.CLcs.LG

Top 50 from mcpmarket.com · Ranked by GitHub stars · Updated Oct 1

Superpowers

Empowers AI coding agents with a comprehensive and structured software development workflow, from design refinement to TDD-driven implementation.

☆ 293,272

World Monitor

Provides real-time global intelligence through AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.

☆ 87,618

Ruflo

Orchestrates intelligent multi-agent swarms for Claude, coordinating autonomous workflows and building conversational AI systems.

☆ 73,574

OpenSpec

Facilitates spec-driven development to ensure alignment between humans and AI coding assistants before any code is written.

☆ 70,756

TrendRadar

Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights.

☆ 62,628

Context7

Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source.

☆ 62,553

Penpot

Empower teams with an open-source design and prototyping platform that bridges the gap between design and code through real-time collaboration.

☆ 60,538

Chrome DevTools

Provides coding agents with programmatic access to Chrome DevTools for comprehensive browser control, inspection, and debugging.

☆ 52,790

Codebase Memory

Indexes codebases into a persistent knowledge graph for efficient, structural exploration and analysis by AI assistants and developers.

☆ 45,547

Reactive Resume

Create, update, and share professional resumes using a free, open-source, and privacy-focused builder.

☆ 43,608

Reactive Resume

Create secure, customizable, and privacy-focused resumes with a free and open-source builder.

☆ 42,468

Reactive Resume

Simplifies the creation, updating, and sharing of professional resumes with a focus on privacy and customizability.

☆ 42,396

MindsDB

Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.

☆ 39,168

Playwright

Automates browser interactions for Large Language Models (LLMs) using Playwright.

☆ 37,713

Next AI Draw.io

Integrates AI capabilities with draw.io diagrams to create, modify, and enhance visualizations using natural language.

☆ 36,081

GitHub

Enables advanced automation and interaction capabilities with GitHub APIs for developers and tools using the Model Context Protocol.

☆ 33,298

Invisible Playwright

Automates undetected web browsing and agentic interactions with websites, bypassing captchas and blocks using an anti-detect stealth browser.

☆ 31,726

Graphiti

Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.

☆ 31,323

Cognee

Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.

☆ 31,233

Serena

Turns an LLM into a coding agent that works directly on your codebase by providing semantic retrieval and editing capabilities.

☆ 29,912

GPT Researcher

Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.

☆ 29,830

Task Master

Streamline AI-driven development workflows by automating task management with Claude.

☆ 28,113

Cua

Create and manage high-performance macOS and Linux virtual machines on Apple Silicon, with built-in support for AI agents.

☆ 27,494

Blender Model Context Protocol

Connects Blender to Claude AI, enabling prompt-assisted 3D modeling, scene creation, and manipulation.

☆ 25,607

Context Mode

Optimizes large language model interactions by significantly reducing context window data and ensuring session continuity.

☆ 24,391

Pascal Editor

Enables open-source, local-first 3D architectural editing with a CLI, Model Context Protocol (MCP) integration, and AI agent workflows.

☆ 24,378

Archon

Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.

☆ 23,585

N8n

Connects AI assistants to n8n's vast library of workflow automation nodes, enabling AI to discover, understand, and build complex workflows efficiently.

☆ 23,025

FastMCP

Facilitates the creation of Model Context Protocol (MCP) servers with a Pythonic interface.

☆ 22,898

Screenpipe

Captures screen and audio activity 24/7, transforming it into searchable memory and actionable data for AI agents.

☆ 21,780

FunASR

Provides an industrial-grade, end-to-end speech recognition toolkit featuring ultra-fast transcription, multi-language support, speaker diarization, and emotion detection.

☆ 20,559

Douyin TikTok Download API

Facilitates self-hosted data scraping and no-watermark video downloads from Douyin and TikTok via an asynchronous REST API, MCP server, CLI, and web console.

☆ 20,418

Beads

Provides a lightweight memory system for coding agents through a graph-based issue tracker.

☆ 19,996

Nuclear

Streams free and open-source music, allowing users to search, build playlists, and listen across multiple platforms without ads or tracking.

☆ 18,559

Model Context Protocol for Beginners

Provides an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples.

☆ 17,366

ARIS (Auto-Research-In-Sleep)

Automates machine learning research workflows, including idea generation, experiment execution, and iterative paper review and refinement.

☆ 16,857

Trigger.dev

Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.

☆ 16,443

Xiaohongshu

Provides a programmatic interface to automate content publishing, feed retrieval, and search functionalities on Xiaohongshu.com.

☆ 16,060

Figma Context

Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.

☆ 15,940

Docker Android

Provides an Android environment within Docker containers, supporting noVNC, video recording, and a mobile cloud platform (MCP) server.

☆ 15,916

OpenMetadata

Unifies metadata for data discovery, observability, and governance through a central repository, in-depth column-level lineage, and seamless team collaboration.

☆ 15,361

Skill Seeker

Transforms any documentation website into a production-ready Claude AI skill in minutes.

☆ 15,052

Claude-Flow

Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.

☆ 14,997

OmniGet

Download courses and media from over 1,800 sites, and run AI coding agents with built-in permissions and job management.

☆ 14,406

MCP Toolbox for Databases

Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.

☆ 13,973

Eino

Provides a Go framework for building LLM/AI applications.

☆ 13,211

XHS Downloader

Extracts and downloads content from XiaoHongShu (RedNote), including user posts, collections, likes, albums, and search results, while removing watermarks.

☆ 12,873

Convex

Provides a reactive database backend designed for web app developers to fetch data and perform business logic with strong consistency using TypeScript.

☆ 12,627

Claude Context

Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.

☆ 12,578

Chrome Browser

Exposes Chrome browser functionality to AI assistants for complex browser automation, content analysis, and semantic search.

☆ 12,455

Top 50 from mcpmarket.com · Ranked by GitHub stars · Updated Oct 1

Meme Maker

Searches curated meme templates, suggests ideal joke formats, and renders custom memes in SVG, PNG, or hosted formats.

☆ 387,936

Agent Skill Creator

Authors, repairs, and validates custom AgentSkills and SKILL.md configurations with standardized frontmatter and bundled resources.

☆ 387,936

OpenClaw Channel Configurator

Configures, repairs, and verifies chat messaging channels securely using non-interactive CLI commands and secret references.

☆ 387,936

1Password CLI

Integrates 1Password CLI to securely authenticate, manage vaults, and inject environment secrets without leaking credentials into chat or logs.

☆ 387,936

TaskFlow Inbox Triage

Automates inbox classification, multi-channel message routing, and asynchronous reply handling using structured task workflows.

☆ 387,936

Sherpa ONNX Local Text-to-Speech

Generates natural speech audio locally and offline using the high-performance sherpa-onnx runtime and ONNX voice models.

☆ 387,936

Background Coding Agent

Delegates complex coding tasks, refactors, and issue-to-PR workflows to autonomous background CLI workers including Claude Code, Codex, and OpenCode.

☆ 387,936

Diagram Maker & Visualizer

Generates professional SVG, HTML, and Excalidraw diagrams for software architecture, system flows, and educational concepts.

☆ 378,517

GH Issues Auto-Fixer

Automates the end-to-end GitHub issue lifecycle by spawning sub-agents to implement code fixes, open pull requests, and resolve review comments.

☆ 330,129

Discord Integration

Manages Discord operations including messaging, reactions, and channel management directly through Claude.

☆ 313,459

GateGuard Pre-Action Gate

Enforces pre-action investigation gates before code edits, file creations, or destructive commands to prevent hallucinations and boost output quality.

☆ 244,259

Quarkus Verification

Automates comprehensive verification pipelines for Quarkus applications, covering static analysis, testing, security audits, and native builds.

☆ 243,968

Prompt Optimizer

Analyzes raw developer prompts, identifies missing context, and crafts structured, ready-to-run prompts tailored for Claude Code and ECC workflows.

☆ 243,968

Data Scraper Agent

Builds automated, AI-powered data collection pipelines that scrape public web sources, enrich records with LLMs, and sync to databases.

☆ 243,968

Cross-Platform Social Distributor

Adapts and distributes original content across X, LinkedIn, Threads, and Bluesky while preserving authentic voice and eliminating generic clichés.

☆ 243,968

Strategic Context Compaction

Optimizes Claude Code context windows by prompting manual compaction at logical task boundaries instead of arbitrary auto-compaction.

☆ 243,968

Jira Integration

Integrates Jira issue tracking into coding workflows to fetch tickets, extract acceptance criteria, update statuses, and post comments.

☆ 243,968

Skill Compliance Checker

Evaluates and visualizes whether coding agents strictly adhere to provided skills, rules, and definitions across varying prompt strictness levels.

☆ 243,968

Social Media Publisher

Schedules, validates, and publishes multi-platform social media posts and media across 13 networks via SocialClaw.

☆ 243,968

Deep Research

Conducts multi-source web investigations using Firecrawl and Exa MCPs to synthesize comprehensive, fully cited research reports.

☆ 243,968