Comparisons / Eve vs LangChain
Eve vs LangChain: Which Agent Framework to Use?
Eve vs LangChain, head to head
Eve and LangChain both let you build an agent, but they sit in different parts of the stack and they assume different things about who's writing the code.
Eve is Vercel's open-source TypeScript agent framework, launched June 17 2026.
LangChain is the most popular agent framework.
Underneath, both wrap the same thing: a model call, a tool dispatch, a loop. The decision is about which abstraction your team wants to think in day to day, and which ecosystem you're willing to inherit along with it. There's an honest, framework-free version of the same pattern in about 60 lines of Python in the lesson at the bottom of this page — useful as a baseline regardless of which framework wins.
Pick Eve if
Pick Eve if eve earns its keep when you want durable execution, sandboxed code exec, and multi-model routing without wiring three separate services. If you're already on Vercel, it composes; if not, the runtime pieces are the value and they don't travel. For a single-loop tool-using agent, plain TypeScript ships faster. The tradeoffs in its intro should match how your team already thinks about agents; LangChain will feel like translation if they don't.
Pick LangChain if
Pick LangChain if langChain adds value when you need production integrations (vector stores, specific LLM providers, deployment tooling). But if you want to understand what's happening — or your use case is straightforward — the plain Python version is easier to debug, modify, and reason about. The tradeoffs in its intro should match how your team already thinks about agents; Eve will feel like translation if they don't.
By the numbers
By the numbers
Eve
3.5k
180
TypeScript
Apache-2.0
2026-06-17
Vercel
Vercel (public)
Runs on Vercel Sandbox + AI Gateway; deploys anywhere Node runs
Yes
LangChain
132.3k
21.8k
Python
MIT
2022-10-17
Harrison Chase
Sequoia Capital, Benchmark
$25M Series A (2023), $25M Series B (2024)
3.5M
LangSmith (observability), LangServe (deployment)
Yes
Used by: Notion, Elastic, Instacart
github.com/langchain-ai/langchain→GitHub stats as of April 2026. Stars indicate community interest, not necessarily quality or fit for your use case.
| Concept | Eve | LangChain |
|---|---|---|
| Agent | A directory with `agent.ts` + `instructions.md` + subfolders — the framework wires them together | `AgentExecutor` with `LLMChain`, `PromptTemplate`, `OutputParser` |
| Tools | Each file in `tools/` exports one tool; schema comes from a Zod export | `@tool` decorator, `StructuredTool`, `BaseTool` class hierarchy |
| Durability | Vercel Workflow SDK checkpoints every step so a crashed agent resumes where it left off | — |
| Sub-agents | Each `subagents/*.ts` becomes a callable sub-agent the parent can hand off to | — |
| Sandboxed exec | Vercel Sandbox runs untrusted code in isolated micro-VMs, one API call away | — |
| Schedules | `schedules/*.ts` exports a cron expression + handler; Vercel runs it | — |
| Agent Loop | — | `AgentExecutor.invoke()` with internal iteration |
| Conversation | — | `ConversationBufferMemory`, `ConversationSummaryMemory` |
| State | — | LangGraph state channels with typed reducers |
| Memory | — | `VectorStoreRetrieverMemory`, `ConversationEntityMemory` |
| Guardrails | — | `OutputParser`, `PydanticOutputParser`, custom validators |
Or build your own in 60 lines
Both Eve and LangChain implement the same 8 patterns. An agent is a function. Tools are a dict. The loop is a while loop. The whole thing composes in ~60 lines of Python.
No framework. No dependencies. No opinions. Just the code.
Build it from scratch →