Follow AI Builders — Not Influencers

This is wild.

RT Sydney Runkle deepagents just hit 30k stars on github! deepagents is great for building agents that do complex work. they manage context well and use a durable runtime. though inspired by coding agent design, deepagents are for any domain! https://github.com/langchain-ai/deepagents

Every Perplexity Project is a Git repo. We built a Git forge for agents, without the GitHub bloat, since no human has to approve anything. Each agent gets its own short-lived sandbox and commits to a shared repo on S3. Fewer than 2% of submissions collide. Agents search with plain `ls` and `grep`. That beats semantic search 63% vs 37% on answer accuracy for financial document analysis.

RT Nehal One hell of a day at AIE Workshops. From claude-managed agents and wealth-managing agents to memory-aware agents We had it all. Can’t wait for tomorrow!

Coding CLIs keep getting more complicated. Daemons, 3 layers of TUIs, client-server architectures. The whole point of a CLI is to deliver intelligence with zero friction, and be unix-like. 💾 Try http://fx.sh. It's 6mb, starts in milliseconds, model-agnostic. It's tastefully minimal: MCP, Skills, Subagents and ACP built-in.

RT Raindrop "What will my change change?" Our CTO and co-founder @benhylak joined @HamelHusain to share more on testing agents with Raindrop Simulations. Watch the full video: https://www.raindrop.ai/resources/how-to-test-ai-agents-with-simulations/

RT Yong Park Excited to go to my first @F1 race in Austin next week. If your team has doc parsing needs and are interested in motor sports, hit me up! We might have some spots left in the @llama_index booth.

6.1 Sol ultrafast >>> 6 Astra ~ same cost but whole different game with 250 tpm