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Give your AI agent web, social, and search access

Agent Reach is a capability layer that picks, installs and health-checks the tools an AI agent needs to read the internet. It has no wrapper for the actual reading: the agent calls upstream tools directly (Jina Reader, yt-dlp, gh CLI, feedparser and others). Each platform has an ordered list of preferred and fallback backends, and `agent-reach doctor` shows which one is in use.

It works with Claude Code, OpenClaw, Cursor, Windsurf and, per the README, any agent that can run command-line commands. Web pages, YouTube subtitles, RSS, GitHub and V2EX work without configuration. Twitter/X, Reddit, Xiaohongshu, Facebook, Instagram, LinkedIn and others need a login session or cookies.

Before you try it

• For platforms that use cookies or a login session (Twitter, Xiaohongshu, Reddit and others), the README warns that script or API calls can be detected and the account restricted or banned. It recommends a dedicated secondary account, not your main one.
• Reddit, Facebook and Instagram have no zero-config path. They need OpenCLI on a desktop with a logged-in browser session.
• `agent-reach install` only checks the environment by default. It installs system packages and writes config only when you pass `--system`. The README says the same-named package on PyPI is not this project.

Run AI agents in policy-enforced, isolated sandboxes

OpenShell runs each agent in an isolated sandbox, with the files, system calls and network connections it may touch declared in a policy. Enforcement happens at the kernel level, and every network connection goes through a policy check before leaving the sandbox. Agents never see real credentials; OpenShell adds them only to requests bound for approved endpoints. For policy changes, it says it uses formal verification to flag risky new access, such as reaching a new host, so those changes wait for human review.

The default sandbox image is minimal Ubuntu with no agent installed. The docs walk through running OpenCode against a free OpenRouter model. Skills for coding agents install via `npx skills add`, and SDKs for Python, TypeScript, Go and Rust connect applications to a gateway. The gateway can be deployed to Kubernetes with Helm, and the project can be extended through middleware, interceptors and compute drivers.

Before you try it

• Windows is supported only through WSL 2, which the README labels experimental.
• It collects anonymous telemetry. Set OPENSHELL_TELEMETRY_ENABLED=false on the gateway to disable it (server.telemetryEnabled=false for Helm).
• Kubernetes deployments need a CNI that enforces NetworkPolicy. The TypeScript SDK is distributed via GitHub Packages.

Write HTML and CSS, render deterministic MP4 videos

HyperFrames is an open-source framework that turns HTML, CSS, media, and seekable animations into deterministic MP4 videos. You can use it locally through the CLI, from AI coding agents via skills, or as the rendering core of hosted authoring workflows.

It ships a Claude Code plugin and skills installable with `npx skills add`. The README says these work with Claude Code, Codex, Cursor, Gemini CLI, IBM Bob, and other agents that support skills. Animation runtimes covered include GSAP, Lottie, Three.js, Anime.js, CSS, WAAPI, and TypeGPU, and the CLI has commands for HeyGen-hosted cloud rendering and AWS Lambda rendering.

Before you try it

• There are 21 skills, and a non-interactive `skills add` run without `--skill` installs all of them. The README points to `npx hyperframes skills update` for the core set only.
• `skills add` resolves the skills.sh registry, which the README says can lag `main` by hours. For the newest copy, it recommends `npx hyperframes skills update`.

Define a Claude Code and Codex agent team in YAML and boot it

OpenRig is open-source software that runs AI coding agents as a persistent, organized team instead of a pile of terminal sessions. You define the team in YAML and boot it with one command; you talk to a lead agent about the outcome you want, and it coordinates specialists.

Claude Code and Codex can run in the same rig, managed as one system. It runs on tmux and can use Herdr or Ghostty for terminal views. It ships three starting teams: starter (a Claude Code builder and a Codex reviewer), workshop, and factory (seven agents).

Before you try it

• Setup and operation write to files such as ~/.tmux.conf, ~/.claude/skills, ~/.agents/skills, and Codex hook configuration and trust records. The README advises backing up the relevant files before installing.
• Native Windows is not supported and WSL2 has not been tested. On Apple silicon Macs, Node.js 22 is required.
• You need an existing signed-in account for at least one of Claude Code or Codex; the README says no second subscription is required.

Carry coding-session memory across Claude Code sessions

A persistent memory system for Claude Code. It captures tool-usage observations automatically, generates semantic summaries, and supplies them to later sessions. It uses lifecycle hooks, a local Bun-managed HTTP worker, a SQLite database and a Chroma vector database for hybrid semantic and keyword search.

It installs through the Claude Code plugin marketplace, and the npx installer also targets OpenCode, T3 Code, Antigravity CLI, OMP, Pi, DeepSeek Harness and Grok Bot. A separate install script covers OpenClaw gateways. Search runs through three MCP tools (search, timeline, get_observations) in a layered workflow that the README says saves about 10x tokens by filtering before fetching details.

Before you try it

• The default installer asks you to sign in to claude-mem in a browser (email magic link). Signing in starts a 30-day free trial of the claude-mem observer, after which memory falls back to your Anthropic plan unless you subscribe. Passing --provider, setting CLAUDE_MEM_ONLINE_OPTIN=false, or running in CI or a non-interactive shell skips sign-in.
• `npm install -g claude-mem` installs only the SDK/library and does not register plugin hooks or the worker service. Use npx claude-mem install or the /plugin commands instead.
• The Grok Bot integration has no host hooks, so it watches chat log files. It defaults to hosted memory (CMEM Pro), and the local observer is opt-in with --provider host.

Official Cursor plugins for dev tools, SaaS, and agent workflows

This is Cursor's plugin marketplace repository. Each plugin is a standalone directory at the repo root with its own `.cursor-plugin/plugin.json` manifest, and a root `.cursor-plugin/marketplace.json` lists them all. Plugins contain agent skills as SKILL.md files with frontmatter.

Developer-tool plugins include branch review (thermos), PR Review Canvas, plugin scaffolding (Create Plugin), fan-out across parallel cloud agents (Orchestrate), a Cursor SDK plugin for building with the TypeScript SDK, skills for the Cursor Origin API, and Grok voice for apps. The third_party folder holds integrations for services such as Gmail, Google Drive, GitHub, Playwright, Salesforce, HubSpot, BigQuery and Excalidraw, plus several brokerage and finance services.

Before you try it

• Most third-party integrations appear to need an account with the external service (Gmail, Salesforce, Gong, etc.), though the README doesn't describe the auth method.
• Some plugins can prepare or execute trades: Robinhood works in an Agentic account, and Coinbase can preview or place trades, per their descriptions. eToro and Interactive Brokers are also listed.
• Some plugins list individual authors such as Eric Zakariasson, Lauren Tan and Dylan Gattey. The README doesn't state a license.

Write GPU, CPU and NPU kernels in a Pythonic DSL

Tile Language (tile-lang) is a domain-specific language for writing high-performance kernels such as GEMM, Dequant GEMM, FlashAttention and LinearAttention. It uses Pythonic syntax on top of a compiler infrastructure built on TVM, which the README says lets developers stay productive without giving up low-level optimizations.

Before you try it

• According to the README, v0.1.13 removed several legacy APIs, so read the compatibility notes before upgrading.
• Ascend 950 support is documented separately under tilelang/ascend.