your ai agent doesn't need a single paid api to browse the internet anymore 🤯
it's called agent-reach.
one pip install and your agent can read twitter posts, browse reddit threads, search github, and watch youtube - without paying for a single api subscription.
what your agent gets for $0:
→ twitter/x posts, profiles, and search
→ reddit threads and comments
→ youtube videos, metadata, and search
→ github repos, issues, and profiles
→ 10+ more platforms
what it replaces: the twitter api alone runs $100/mo for basic access. reddit, youtube, and github all have rate limits and paid tiers. agent-reach uses direct parsing instead of official apis, so there are no keys and no billing.
setup takes 2 minutes:
1. pip install agent-reach
2. run agent-reach doctor
3. connect it to your agent as a tool
works with claude code, cursor, aider, langchain, any framework. one thing to know: it's built for agentic research and prototyping, not production scraping at scale.
@Youssofal_ Are u mostly disatisfied with frontend stuff and design? Or overall?
I find the overall experience with codex more frictionless and smoother, but i wanna start using fable more for frontend, design, and ofcourse also for complex work.
More opensource goodness. We have just released a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in your code. Scan repositories, review changes, track findings over time, and run security checks in CI.
https://t.co/nkfTbw8p7b
@thsottiaux Please dont go back to 5hr limit.
We would much rather have Freedom
To spend our tokens as we please.
One of the reasons codex is my fav now is becuz
Of that.
this is f**king insane
a free github repo by Jack Dorsey (Co-Founder of Twitter) with 14.4K stars just dropped the entire "ai-agent" framework for running businesses
here is how you set it up:
1.clone the repo
2. self-host the server : channels, search, git, automation all live there
3.add your agent to a channel like a teammate, scope its key, let the team steer it live
save and bookmark this no matter what
@audiomau5@dukeofdolma Ran out of space on my Mac, it kept going and tried something smart to enable itself to continue working, some procesess failed, and its test enviroment somehow destroyed 120gb of work.
Luckily I've managed to save a big chunk that was on github. But yeah, I asked it to autonomously finish our plan, and when my 500 gb mac hardisk was full, it tried doing some fancy shit, and then some test nuked the entire computer and deleted absolutely fucking everything. Cant believe its even possible at this stage.
Characters should feel unique, not predefined.
Vivix-A1 brings unlimited creative possibilities with diverse styles, emotions, movements, and personalities.
Create characters that don’t just speak, they express, adapt, and come alive.
Every AI agent scraping the web right now is running full chrome to do it.
rendering a UI nobody looks at, for a browser that never displays a single pixel.
lightpanda skips that entirely.
written from scratch in zig, not a chromium fork, and it's 11x faster with 9x less memory than chrome in headless mode.
→ one-line docker install
→ drops into playwright, puppeteer, and chromedp through cdp, port 9222
11.8k stars for something that basically asks why you were running a full desktop browser to fetch json.
If your whole workflow is one Claude Code instance on your MacBook, you're leaving 10x on the table.
Here's why. On your laptop, running 2 agents at once means two copies of your code, and you're constantly fighting over which worktree you're on and whether everything's synced. It caps out fast.
Cloud agents in VMs let you run as many as you want without worrying about any of that.
Each one gets its own machine, so the work never collides.
Spin up 10, let them all run, and nothing steps on anything else.
Watch full ep below on @startupideaspod. Thanks to @ryancarson for sharing the sauce.
https://t.co/T1DhgPstbC
Cloud agents are probably the future.
So is doing half your work from your phone, which sounds insane until you try it once.
Then you don't go back.
@alliekmiller 1) multiplayer AI ?? Tell me more what u mean? Agents collaborating & teamworking?
Im onto the same shit, Multi orchestration layers, agentic applications, autonomous systems.
Agents working while I sleep, but not some gimick bs lame bot, but actaully making money intellgence