laya tops a week of agents that act without chatting, with hindsight, ax, paperclip and kev close behind

Fastest-growing this period

Counts come from GitHub's official stargazers/history endpoint: the stars gained on each day of the window. Project briefs and the reading notes below are editorial additions.

1. 1

   NandhaKishorM/laya : Answer typed questions about any text in one 33-millisecond forward pass

   Python

   A non-autoregressive decision engine that reads text, an email or a JSON document and returns a typed answer, a choice, a score or a yes/no flag, in one 33-millisecond forward pass. Three checkpoints cover English, over one hundred languages and typed workflows, and a built-in router picks one per request. Nothing is generated, so there is nothing to parse or hallucinate.

   +21,273
2. 2

   vectorize-io/hindsight : Agent memory with three operations: retain, recall, and reflect to keep learning

   Python

   An agent memory system organized around three operations: retain observations, recall them when needed, and reflect to keep what an agent knows up to date. Memory banks and mental models structure the knowledge, it runs as a Docker, pip or embedded Python service against 25+ LLM providers, and an MCP server plus a two-line LLM wrapper connect it to coding agents.

   +14,408
3. 3

   eternity4719/HowToLiveBetter : Life advice that logs what you spend, what you gain and how solid the evidence is

   HTML

   A Chinese guide of practical suggestions on health, money, scams and legal traps, from chronic disease and first aid to rent disputes and workplace compensation. Each entry records what you spend, what you get back and how strong the evidence is, citing only journal papers and official documents, with an online search page for quick lookups.

   +12,726
4. 4

   paperclipai/paperclip : Run a company of AI agents with org charts, tickets and per-agent budgets

   TypeScript

   An open-source control plane for running AI agents like a company. Tasks turn into tickets with approval and review gates you verify from diffs, screenshots and tests; an org chart gives every agent a role, a boss and scoped secrets; heartbeats wake agents on a schedule; and a monthly budget per agent stops runaway token spend. Any runtime that answers a heartbeat plugs in.

   +9,755
5. 5

   google/ax : Declare agent tasks in YAML, sandbox them, then SSH into a running one

   Go

   A declarative orchestrator from Google for agent workloads on a cluster, in the spirit of Kubernetes. One YAML file declares the task, pre-wired Git repos and MCP servers, a network allowlist and the model; ax apply launches it into a sandbox with CPU and memory limits, and ax ssh opens a shell inside a running agent to watch what it does.

   +8,386
6. 6

   hydra-db/hydradb : A Rust graph database that keeps the graph on S3 and scales compute separately

   Rust

   A distributed graph database written in Rust where S3-compatible object storage is the durable source of truth and compute splits into query-serving data nodes plus background indexers that rebuild from durable state. OpenCypher queries run against pinned snapshots with GraphBLAS traversal, and applications can use Neo4j drivers over Bolt or a typed HTTPS API.

   +7,994
7. 7

   browser-use/jev-ultrafast : A browser agent that picks each click and typed word in one model call

   Python

   Give it one natural-language goal and it renders the page as a numbered table of controls. TypeSafe's Jev picks the operation and target element in one request, and a small LLM writes text only when a field needs filling, so no site scripts or screenshots drive the loop. The README's measured demo finds flights from Zürich to London in about seven seconds.

   +7,851
8. 8

   rocketride-org/rocketride-server : Compose AI pipelines as portable JSON on a VS Code canvas, run by a C++ engine

   Python

   An open-source pipeline builder and runtime for AI workloads: 100+ nodes cover LLM providers, vector databases, OCR and NER, pipelines are drawn as portable JSON on a visual canvas in VS Code, and a multithreaded C++ engine runs them on your own hardware. Python and TypeScript SDKs drop a finished pipeline into an app with a few lines of code.

   +7,687
9. 9

   debpalash/VoiceStudio : Try voice design, transcription and dubbing in one workspace

   Python

   A local audio workspace for voice design, transcription, dubbing and longer narrated projects. Useful for trying several speech workflows with your own material in one application, with engine choice and hardware determining the supported languages and output quality.

   +7,340
10. 10

    jev-chat/jev-chat-jarvis : A phone copilot that reads on-screen chats and drafts replies, sending stays yours

    Kotlin

    An Android assistant that follows conversations in any chat app via the accessibility service, never hooking or modifying the app. It first judges the other side's intent and a danger level, then drafts ranked candidate replies and pastes the one you pick into the input box; it never presses send and keys stay on the device. WeChat, QQ and X run the full pipeline.

    +6,813
11. 11

    deepseek-ai/deepseek-harness : Explore DeepSeek's building blocks for an extensible agent

    TypeScript

    DeepSeek's agent runtime built around replaceable plugins, with a web interface for running it. Useful for developers exploring how to compose an agent's capabilities; it is a developer preview, so expect interfaces to change as you experiment.

    +6,808
12. 12

    jaredpalmer/kev : Small open decision models answering choice, yes/no and scoring questions in one request

    Python

    A family of small decision models built on Qwen3.5, with 0.8B, 4B and 9B variants you can run or train yourself. One request shares a single input across choice, yes/no and rating questions, each answered with probabilities instead of a single label. It serves locally on CUDA, ROCm and Apple Silicon, and a web playground shows how option order changes the answers.

    +6,250
13. 13

    dream-num/univer : An embeddable Office SDK with sheets, docs and slides, headless for agents

    TypeScript

    A customizable Office SDK covering spreadsheets, documents and presentations. Canvas rendering and a dedicated formula engine keep large workbooks responsive, plugins compose or lazy-load capabilities, and one Facade API runs the same code in the browser and headless in Node.js, so agents can edit and verify Office files through structured APIs. Presets give a quick start.

    +6,226
14. 14

    stablyai/orca : Compare several coding agents in separate workspaces

    TypeScript

    A desktop interface for running terminal coding agents in separate Git worktrees. You can compare attempts at the same task and inspect their changes, useful when juggling several experiments would otherwise mean managing many terminals and directories.

    +6,188
15. 15

    hypit-ai/hypit : Let your coding agent turn one reference video into a hundred variants

    TypeScript

    A skill that gives coding agents a language for making video: drop in a reference clip and the agent rebuilds it as a complete workflow covering footage, captions, B-roll and effects, timed to words instead of seconds. You can also start from templates or a plain description, and a workflow can compile captions and motion graphics without calling a generation model.

    +4,840
16. 16

    affaan-m/ECC : Give your coding agent a plan, tests and a memory

    JavaScript

    A collection of coding-agent workflows for planning, tests, review and remembering useful context. If your assistant jumps straight into edits or forgets earlier decisions, this gives you reusable routines to adapt to your project.

    +4,838
17. 17

    latent-spaces/brag : Turn the project you just built into a shareable launch video

    Python

    A skill that packages the project you just finished into a short launch video with music, motion and ready-to-paste share copy. Run one command in your project folder, steer the tone with a plain-language flag, and you get a rendered video plus the plan and composition brief behind it.

    +4,726
18. 18

    rohitg00/ai-engineering-from-scratch : Learn AI engineering by building and checking real projects

    Python

    A structured AI-engineering curriculum with routes for fundamentals, LLM applications and agents. It pairs reading with building and checking results, useful when you want to learn toward a working project instead of collecting disconnected tutorials.

    +4,712
19. 19

    tt-a1i/archify : Show your team exactly what changed in the architecture

    JavaScript

    Turns an agent's structured description of a system into interactive HTML and SVG architecture diagrams. It can compare diagram snapshots, useful for showing a team which components and connections changed between two versions of a design.

    +4,592
20. 20

    mizorewww/laya-mlx : Typed decisions from the laya family, rebuilt to run natively on Apple Silicon

    Python

    A native Apple Silicon build of the laya typed-decision engine on Apple's MLX runtime, with no PyTorch, no Transformers dependency and no cloud API. A short English typed question is answered in about 13 milliseconds with zero output tokens, and the multilingual checkpoint is faster still. Weights download once, then every call runs fully local.

    +4,451
21. 21

    mattpocock/skills : Make your AI ask the right questions before it writes code

    Shell

    Give your coding assistant a skill that asks detailed questions before implementation. Use it to clarify vague requirements before the agent builds the wrong thing.

    +4,414
22. 22

    bilawalsidhu/gods-eye-view : Follow flights and ships around an interactive 3D Earth

    JavaScript

    A browser-based 3D globe that combines public feeds such as aircraft, ships and earthquakes. Following an aircraft across the terrain is an engaging way to explore geographic data; its visual sensor effects should not be confused with actual sensor imagery.

    +4,347
23. 23

    cloudflare/security-audit-skill : Turn your coding agent into a security auditor that cross-checks its own findings

    JavaScript

    Installs as a skill that makes your coding agent audit a codebase for vulnerabilities. It maps the architecture and trust boundaries first, sends isolated hunter agents after the uncovered areas, then gives every candidate to a fresh verifier that tries to disprove it, so a finding only reaches the report with a complete source trace.

    +4,156
24. 24

    farion1231/cc-switch : Stop editing the same model settings in several tools

    Rust

    A desktop control panel for the model providers, MCP servers and skills used by several AI coding tools. Useful if you alternate between Claude Code, Codex and similar tools and are tired of keeping their configuration files in sync by hand.

    +4,116
25. 25

    DietrichGebert/ponytail : Stop your AI turning a small fix into a new framework

    JavaScript

    A set of instructions that asks AI coding agents to reuse existing code and question whether a new abstraction is needed. Its rules also explicitly retain validation and error handling, useful when your agent keeps making a small task unnecessarily complicated.

    +3,939

Ranking window: 2026-09-21 to 2026-09-27 UTC.