Developer infrastructure for the agentic era
Neul Labs is a UK-based open-source studio. We ship the boring-but-critical pieces that the agent stack is missing — isolated workspaces, durable memory, safe data access, payments, deployment, and Rust-accelerated drop-ins for the Python libraries agents already depend on. 28 projects. All MIT.
Our Thesis
The industry is moving from chatbots to autonomous agents. Agents need an actual operating environment — isolated workspaces, durable memory, safe data access, payment rails, orchestration, and deployment — not just a chat completion endpoint.
Most of that layer doesn't exist yet. The pieces that do exist (LiteLLM, LangGraph, CrewAI) were built for prototypes, not production: connection pooling, checkpointing, and serialization all become bottlenecks under real load.
We build both halves. New primitives where the stack is missing them (agentvfs, brat, fastagentic, ormai, mcp-pay, memorg). Rust-backed drop-ins where the Python libraries already won developer adoption but can't carry production weight (fast-litellm, fast-langgraph, fast-crewai, fast-axolotl).
Our Approach
Find the missing primitive
Either a hot path in an existing Python library (LiteLLM, LangGraph) or a piece of agent runtime that nobody has built yet (workspaces, payment-aware MCP, policy-enforced ORMs).
Build it in Rust where it matters
Rust + PyO3 for accelerators. Rust for daemons, runtimes and append-only event logs. Go for the workflow plane. Use the right tool per layer.
Ship as drop-in
If we can preserve the existing CLI/API surface (jest, pytest, ninja, wget, curl, litellm, langgraph) we do. One import or one binary swap, no config.
Open source, all the way down
Every project is MIT licensed with a marketing site at <slug>.neullabs.com and docs at docs.neullabs.com/<slug>/. No closed tiers.
Open Source First
All 28 projects are MIT licensed. Open source is the fastest path to adoption, the best way to build trust, and the right foundation for the relationships we want with the developers using our stack.
Zero CAC
Open source drives organic adoption. Developers discover us through GitHub, PyPI, and word of mouth.
Battle-Tested
Community usage surfaces edge cases faster than any QA team. Every bug report makes the product better.
Trust by Default
Enterprises can audit every line. Security teams can verify claims. The code speaks for itself.
Ecosystem Gravity
Each project strengthens the ecosystem. Users of fast-litellm discover brat. Users of brat discover ormai.
Contribution Pipeline
Open contributions attract Rust+AI talent. Contributors become advocates. Advocates become customers.
Enterprise Path
Open core model: MIT foundation with enterprise features for teams that need SLAs, support, and managed deployments.
Technology Stack
Core performance engine. Memory safety, zero-cost abstractions, fearless concurrency.
PyO3 integration layer. Seamless interop with the AI ecosystem.
Workflow automation. Single-binary deployments, native concurrency.
The bridge. Zero-overhead Rust-Python bindings for drop-in compatibility.
For Investors
Where We Play
Developer infrastructure for the agentic era — picks and shovels, not the next chatbot. Adjacent to LiteLLM, LangGraph, CrewAI, MCP, Claude Code, Aider and the rest of the agent ecosystem; complementary rather than competitive.
Why Us
Rust + Python interop at scale, agent runtime design, and shipping discipline. The portfolio already covers eight categories — accelerators, agent infrastructure, runtimes/workspaces, dev tools, build/release, network/data, compliance, and personal AI — with the same opinionated stack underneath.
Business Model
Open-core. MIT-licensed foundations are how developers find us. The natural revenue paths are managed deployments, support contracts for the heavier runtimes (agentvfs, brat, fastagentic, ormai), and compliance offerings around regulus. We are deliberate about not shipping closed tiers today.
Traction
28 public repositories spanning the full agent stack. Distribution across crates.io, PyPI, npm and Homebrew. See the projects page for the full index, or browse the org directly on GitHub.
Get in Touch
Interested in investing, partnering, or contributing? We'd love to hear from you.