dex

Hacking on things @humanlayer_dev . Previously @replicatedhq @SproutSocial

[Harrison Chase @hwchase17]

OpenAI recently released a guide on building agents which contains some misguided takes

There's a lot of FUD, confusion, hype, and noise around agents

I wrote a blog on how to think about agent frameworks. Includes:

Background Info
- What is an agent?
- What is hard about building agents?
- What is LangGraph?

Flavors of agentic frameworks
- “Agents” vs “workflows”
- Declarative vs non-declarative
- Agent abstractions
- Multi agent

Common Questions
- What is the value of a framework?
- As the models get better, will everything become agents instead of workflows?
- What did OpenAI get wrong in their take?
- How do all the agent frameworks compare?

[humanlayer @humanlayer_dev]

HumanLayer is an API that enables AI Agents to contact humans for help, feedback and approvals 👇👇👇

[Harrison Chase @hwchase17]

"12 Factor Agents - Principles for building reliable LLM applications"

Great piece from @dexhorthy. A lot of the principles really resonate with LangGraph ethos. Would people be interested in a blog on how LangGraph enables these?

#2: Own your prompts (no hidden prompts in LangGraph)
#3: Own your context windows (in LangGraph you control exactly what goes into LLM!)
#5: Unify execution state and business state (we invested a lot in a production-ready persistence layer)
#6: Launch/Pause/Resume with simple APIs (this persistence layer enables these interaction patterns)
#8: Own your control flow (this is literally exactly the motivating reason for LangGraph)
#10: Small, focused agents (subgraphs!)

[Alex Volkov @altryne]

👉 https://t.co/MTksFr1bVo 👈

Was awesome to have @MaziyarPanahi talk to us about the OpenAI secret OSS meeting, @kwindla launched smart-turn and got #breakingNews button, and @dexhorthy came to talk about 12 factor agents!

Also a full panel, @ldjconfirmed @nisten @Yampeleg and @WolframRvnwlf