head to head · open source

langchain vs sepia

langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. sepia has 3,584 stars, 219 forks, 8 open issues and last shipped yesterday. langchain leads on adoption by 4,054% (148,892 vs 3,584 stars). langchain is written in Python under MIT; sepia is written in Python under MIT. langchain has attracted 17% as many forks as stars, sepia 6%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee.

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 sepia ★ 3.6K category AI & Machine Learning

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Side by side

langchain sepia
GitHub stars ★ 149K ★ 3.6K
License MIT MIT
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 219
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 sepia if

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

full sepia 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 sepia

sepia English 繁體中文 简体中文 De AI writing at the layer that actually gives AI away. Fiction gets its narrative architecture repaired before anyone touches word choice; professional documents (release notes, PR replies, postmortems, tickets, technical articles) each get rules matched to their venue. A portable Agent Skill: any agent that speaks the standard can load it, and the Skills CLI, which supports 77+ agents, installs it with one command. Claude Code, Codex, Grok Build, Antigravity, and QwenPaw additionally get native plugin packaging. One canonical SKILL.md , no per platform forks. Four operations: write…

read the full sepia overview →

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Frequently asked questions

Is langchain or sepia more popular?

langchain has 148,892 GitHub stars and sepia has 3,584. langchain has the larger community by that measure.

Are langchain and sepia free?

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

What is the difference between langchain and sepia?

langchain is written in Python and sepia in Python. 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 sepia?

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