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AI + Dev Digest — June 9, 2026

Agents get eyes and memory: top trending projects give AI real-time internet access, social-signal research, and a local-first memory system that outpaces commercial alternatives.

Today's GitHub trending reflects a practical reality: AI agents are only as useful as the information they can reach and remember. The top projects right now are tackling that gap from multiple angles — zero-API internet access, engagement-ranked research synthesis, a community-governed cross-provider runtime, and open-source memory that never leaves your machine.

mvanhorn/last30days-skill: Social-Signal Research Engine

last30days-skill is a Claude Code skill that researches any topic by querying Reddit, X, YouTube, HN, Polymarket, and GitHub simultaneously, then ranks results by actual engagement — upvotes, video views, and prediction-market odds — rather than SEO position. Before searching, the engine resolves relevant entities and communities for a topic, runs multi-platform queries in parallel, and clusters duplicate stories across sources into a single cited brief. The result is a grounded summary of what people are genuinely engaging with right now, useful for pre-meeting research, trend monitoring, or getting a fast read on an emerging project.

github.com/mvanhorn/last30days-skill

Panniantong/Agent-Reach: Full Internet Access for Agents, Zero API Fees

Agent-Reach is a CLI scaffold that lets AI agents — Claude Code, Cursor, and others — read and search Twitter, Reddit, YouTube, GitHub, LinkedIn, TikTok, and more without a single API key. It works by detecting and installing existing open-source platform tools (twitter-cli, yt-dlp, Jina Reader) as modular, swappable components wired under one CLI; credentials stay local and are never transmitted. For developers building agents that need live social or web content, it removes the biggest friction point: per-platform authentication and API costs.

github.com/Panniantong/Agent-Reach

aaif-goose/goose: A Linux Foundation AI Agent Runtime

Goose is an open-source general-purpose agent maintained by the Agentic AI Foundation at the Linux Foundation, written in Rust for portability and performance. It supports 15+ AI providers — Anthropic, OpenAI, Google, Ollama, Azure — and 70+ extensions via MCP, so users are never locked into a single model or toolchain. Available as a desktop app on macOS, Linux, and Windows, a CLI, and an embeddable API, Goose is positioned as the community-governed runtime for agents that need to actually execute tasks — research, writing, data analysis, automation — rather than just suggest code.

github.com/aaif-goose/goose

MemPalace/mempalace: Benchmark-Transparent Local AI Memory

MemPalace is a local-first AI memory system that stores conversation history verbatim rather than summarizing it, then retrieves relevant pieces via semantic search with no API calls required. Its hierarchical structure — wings for people or projects, rooms for topics, drawers for content — enables scoped queries instead of flat corpus searches, and it hit 96.6% R@5 on LongMemEval with all benchmarks reproducible from the repo. The system ships with a 29-tool MCP server, auto-save hooks for Claude Code sessions, and pluggable backends (ChromaDB, SQLite, Qdrant, pgvector) — entirely free and self-hosted.

github.com/MemPalace/mempalace