head to head · open source
langchain vs sepia
langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped today. sepia has 2,672 stars, 175 forks, 8 open issues and last shipped yesterday. langchain leads on adoption by 5,385% (146,562 vs 2,672 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 7%. 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.
← all 8884 open source comparisons
Side by side
| langchain | sepia | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 2.7K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 25K | ⑂ 175 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 147K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About langchain
LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.
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 , rev…
read the full sepia 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 sepia more popular?
langchain has 146,562 GitHub stars and sepia has 2,672. 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 (146,562 stars) or its MIT licence terms. Choose sepia if its feature set, stack or MIT licence fits better. Both are self-hostable.