The Open-source AI Agent stack

In today’s rundown 🗂️

• What we’re building: a stable, reusable open-source agent stacks.

• Golden rules for a stack that actually ships.

The 9-Layer Open-Source Agent Stack

1. Frameworks — the brain: plan tasks, call tools, and coordinates action Options: CrewAI, Agno, Camel, AutoGen, SuperAGI, LangChain, LlamaIndex.

2. Computer & Browser — the hands ✋: Operates the OS and web to click, type, scrape, and run commands. You cannot complete a lot of stuffs if you only have the brain.
Options: Open Interpreter, Self-Operating Computer, LaVague, Playwright, Puppeteer.

3. Voice — talk & listen 🎙️: Adds speech input (ASR) and output (TTS) for natural, real-time conversations.
Options: Whisper/stable-ts, ChatTTS, Ultravox, Moshi, Pipecat, Vocode.

4. Document Understanding — reads the messy stuff 📄: Extracts structure and meaning from PDFs, scans, tables, and screenshots.
Options: Qwen2-VL, DocOwl2.

5. Memory — long-term context 🧠➕: Stores preferences, histories, and summaries so behavior improves over time.
Options: Mem0, Letta (MemGPT), LangChain memory components.

6. Testing & Evaluation — trust but verify 🧪: Simulates tasks, scores outcomes, and prevents regressions pre/post-deploy.
Options: AgentBench, AgentOps, Voice Lab, eeVoice Lab.

7. Monitoring & Observability — x-ray vision 📊: Traces steps, tracks latency/costs, and debugs weird behavior in production.
Options: openllmetry, AgentOps.

8. Simulation — flight school 🧭: A sandbox where agents practice skills and policies safely before production.
Options: AgentVerse, ChatArena, AI Town, Generative Agents (Stanford).

9. Vertical Agents — don’t start from zero 🧩: Ready-made specialists you can reuse and customize.
Options:
• Coding: aider, GPT Engineer, OpenHands
• Design: screenshot-to-code (img-to-code)
• Research: GPT Researcher
• SQL: Vanna

Golden rules for a stack that actually ships 🧰

1. Pick maintained tools over flashy ones. More stars, recent commits, lots of contributors.

2. Bigger is not alwasy better. Fewer dependencies > more features.

3. Build agents like you build software. Separate logic, memory, and action layers.

4. Automate evaluation (AgentOps/AgentBench) so regressions can’t hide.

5. Trace everything (openllmetry); you can’t fix what you can’t see.

🔥 In Case You Missed It…

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That’s a wrap! 🌯

Till next time,