Blog

Technical deep-dives, benchmarks, and insights from building high-performance AI infrastructure.

Notes from Shipping 28 Open-Source Projects in One Year
metaopen-sourceneul-labsagentic-infrastructure

Notes from Shipping 28 Open-Source Projects in One Year

What we learned shipping 28 MIT-licensed projects under the neul-labs org — across agent runtimes, Rust accelerators, dev tools and governance. The themes that actually emerged, and the ones we expected but didn't.

Dipankar Sarkar ·
Drop-in Compatibility as a Design Principle
designdrop-inrjestrpytestrninjafast-litellmfast-langgraphopen-source

Drop-in Compatibility as a Design Principle

Why most of the Neul Labs portfolio — rjest, rpytest, rninja, recurl, rewget, stout, fast-litellm, fast-langgraph, fast-crewai, fast-axolotl — refuses to change your config, your CLI, or your imports. The rule, the trade-offs, and the cases where we break it.

Dipankar Sarkar ·
The Agentic Infrastructure Stack: What We're Building and Why
agentsarchitectureagentvfsbratormaimcp-paymemorgfastagenticagentic-infrastructure

The Agentic Infrastructure Stack: What We're Building and Why

A reference architecture for an agentic stack — workspace runtime, memory, ORM-level policy, orchestration, payments — built from the Neul Labs primitives: agentvfs, brat, fastagentic, ormai, mcp-pay and memorg. With pointers to each repo and the open problems we still see.

Dipankar Sarkar ·
Why We Chose Rust to Accelerate Python AI Infrastructure
rustpythonperformancepyo3ai-agents

Why We Chose Rust to Accelerate Python AI Infrastructure

Python's GIL and single-threaded ORMs create bottlenecks in production AI agents. Rust + PyO3 delivers 3x-700x faster drop-in replacements for LiteLLM, LangGraph, and CrewAI with zero code changes.

Dipankar Sarkar ·
How to Make LangGraph Checkpointing 700x Faster with Rust
langgraphbenchmarksrustperformancecheckpointing

How to Make LangGraph Checkpointing 700x Faster with Rust

LangGraph checkpoint serialization is the #1 performance bottleneck in production agent deployments. fast-langgraph uses Rust to achieve 737x faster serialization, 151x faster deserialization, and 2.8x faster end-to-end execution.

Dipankar Sarkar ·
How to Run Multiple AI Coding Agents in Parallel with brat
agentsorchestrationbratclaude-codeaidercodex

How to Run Multiple AI Coding Agents in Parallel with brat

brat is an open-source multi-agent orchestration harness that coordinates Claude Code, Aider, Codex, and other AI coding tools on shared codebases with crash-safe state, merge queues, and a real-time dashboard.

Dipankar Sarkar ·
Python Task Queue Without Redis: How FastWorker Replaces Celery + Redis
pythonfastworkercelery-alternativetask-queueredis

Python Task Queue Without Redis: How FastWorker Replaces Celery + Redis

FastWorker is a brokerless Python task queue that eliminates Redis and RabbitMQ. It supports priority queues, auto-discovery, distributed workers, and a built-in monitoring dashboard — all without an external message broker.

Dipankar Sarkar ·