head to head · open source

langchain vs unlazy

langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. unlazy has 4,263 stars, 336 forks, 3 open issues and last shipped 2 months ago. langchain leads on adoption by 3,393% (148,892 vs 4,263 stars). langchain is written in Python under MIT; unlazy is written in JavaScript under MIT. langchain has attracted 17% as many forks as stars, unlazy 8%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

langchain ★ 149K unlazy ★ 4.3K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

langchain unlazy
GitHub stars ★ 149K ★ 4.3K
License MIT MIT
Written in Python JavaScript
Last push 2026-11-02 2026-09-03
Forks ⑂ 25K ⑂ 336
Self-hosting Yes Yes
Data ownership Your server Your server

pick langchain if

  • You weight community size — 149K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full langchain profile →

pick unlazy if

  • You want the unlazy feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches JavaScript
  • You evaluated both and unlazy fits your workflow better

full unlazy profile →

About langchain

The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…

read the full langchain overview →

About unlazy

unlazy Completion discipline for substantial AI agent work, backed by runnable gates. Write the acceptance ledger first. Execute reviewed checks. Reverify returned work. Report only what the evidence supports. Quick start Gate contract Orchestration Security Research Version status The current source targets 2.1.0 . It is not identified here as a tagged GitHub release. Pin an exact commit when you need an immutable installation. See CHANGELOG.md for the unreleased change set. Install Use the skills CLI for supported agents: Add g for a user level install or all for every detected agent. Manual locations: Clone…

read the full unlazy overview →

More in AI & Machine Learning

Related comparisons

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

Frequently asked questions

Is langchain or unlazy more popular?

langchain has 148,892 GitHub stars and unlazy has 4,263. langchain has the larger community by that measure.

Are langchain and unlazy free?

Both are open source. langchain is licensed under MIT and unlazy under MIT. Neither carries a licence fee.

What is the difference between langchain and unlazy?

langchain is written in Python and unlazy in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, langchain or unlazy?

Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose unlazy if its feature set, stack or MIT licence fits better. Both are self-hostable.