Pithelo

Five agent repos gaining momentum. Every one measured.

Ranked by stars gained over the last 7 days, growth rate and recent commit activity.

Rank 1

lexmount/moli

Moli is a headless browser written in Rust for AI agents, with on-demand layout and rendering and a lightweight resource footprint. It fetches and extracts pages (Markdown, semantic tree, PNG, PDF), and exposes CDP, WebDriver Classic, and WebDriver BiDi through a CLI and an automation server that Playwright can connect to.

Developers building agents that fetch, search, or automate the web and want a browser runtime with model-friendly output formats and standard automation protocols should look at it.

  • ★ 22,750
  • +★ 1,156 in 7 days
  • 5.4% growth
  • Apache-2.0
  • README ≈ 6,707 tokens to load into context

AI-written summary

Score96.2
Rank 2

QingYunA/answer-me-with-html

An agent skill that lets the model write a short Markdown draft, which a bundled Node.js CLI turns into a single offline HTML page with generated diagrams and CSS. It also supports explainer videos and installs as a Claude Code plugin, a DeepSeek Harness plugin, or via `npx skills add` for other agents.

Worth a look for developers who want agents to answer complex questions with a readable page while cutting output tokens (the README reports about 612 versus 4,893 for hand-written HTML in its own benchmark, plus faster responses).

  • ★ 5,532
  • +★ 736 in 7 days
  • 15.3% growth
  • MIT
  • README ≈ 7,684 tokens to load into context

AI-written summary

Score90.0
Rank 3

kaankiziltug/logo-design-skill

A skill package for Claude, Gemini CLI, Codex and other Agent Skills-compatible agents that walks through logo design from brief to SVG delivery. It bundles design principles, dependency-free Python tools for SVG auditing, test sheets, mockups and favicon/app-icon export, and a searchable library of 1,400+ classified SVG logos for reference.

Developers building agents that need a structured, multi-step creative workflow with self-rendered image checks and a defined user checkpoint can use this as a worked example of the Agent Skills format.

  • ★ 6,076
  • +★ 778 in 7 days
  • 14.7% growth
  • MIT
  • README ≈ 13,054 tokens to load into context

AI-written summary

Score81.3
Rank 4

mem0ai/mem0

Mem0 is a memory layer for AI agents and apps that stores and retrieves User, Session, and Agent state so context persists across interactions. It is available as a Python/npm library, a self-hosted server, or a managed cloud platform, with retrieval that combines semantic, BM25 keyword, and entity matching plus time-aware ranking.

Developers building agents, assistants, or support bots that need to recall user preferences and history across sessions should look at it, especially since the README publishes benchmark results (LoCoMo, LongMemEval, BEAM) and an open-sourced evaluation framework to reproduce them.

  • ★ 68,487
  • +★ 415 in 7 days
  • 0.6% growth
  • Apache-2.0
  • README ≈ 5,269 tokens to load into context

AI-written summary

Score68.1
Rank 5

langchain-ai/langchain

LangChain is a framework for building agents and LLM-powered applications by chaining together interoperable components and third-party integrations. It provides a standard interface for models, embeddings, vector stores, and tools, and connects to related products such as LangGraph, Deep Agents, and LangSmith.

Developers building LLM-based agents who want swappable model providers and a shared integration layer, with optional paths to LangGraph for orchestration and LangSmith for evals and debugging, should look at it.

  • ★ 149,100
  • +★ 408 in 7 days
  • 0.3% growth
  • MIT
  • README ≈ 2,133 tokens to load into context

AI-written summary

Score64.4