Comparisons / DSPy vs Eve

DSPy vs Eve: Which Agent Framework to Use?

DSPy vs Eve, head to head

DSPy and Eve 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.

DSPy replaces hand-written prompts with compiled modules.

Eve is Vercel's open-source TypeScript agent framework, launched June 17 2026.

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 DSPy if

Pick DSPy if dSPy's real innovation is automated prompt optimization — replacing manual prompt engineering with algorithmic tuning. This is genuinely novel and valuable for production systems where prompt quality matters at scale. For simple agents or learning, hand-written prompts are easier to understand and modify. The tradeoffs in its intro should match how your team already thinks about agents; Eve will feel like translation if they don't.

Full DSPycomparison →

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; DSPy will feel like translation if they don't.

Full Evecomparison →

What both add

Whichever you pick, you're inheriting a dependency tree and a vocabulary your team has to learn before they ship anything. DSPy has its own class hierarchy and tool registration conventions; Eve has its. Either way, when something misbehaves you'll be reading framework source before you reach the actual HTTP call.

If the real workload is one model and a handful of tools, both can feel like a workbench for driving a nail. The lesson below builds the same pattern in plain Python — useful as a comparison point even if you ultimately keep the framework.

By the numbers

By the numbers

DSPy

GitHub Stars

33.4k

Forks

2.8k

Language

Python

License

MIT

Created

2023-01-09

Created by

Stanford NLP (Omar Khattab)

github.com/stanfordnlp/dspy

Eve

GitHub Stars

3.5k

Forks

180

Language

TypeScript

License

Apache-2.0

Created

2026-06-17

Created by

Vercel

Backed by

Vercel (public)

Cloud/SaaS

Runs on Vercel Sandbox + AI Gateway; deploys anywhere Node runs

Production ready

Yes

github.com/vercel/eve

GitHub stats as of April 2026. Stars indicate community interest, not necessarily quality or fit for your use case.

ConceptDSPyEve
Agent`dspy.ReAct` module with signature and toolsA directory with `agent.ts` + `instructions.md` + subfolders — the framework wires them together
Prompts`dspy.Signature` defines input/output fields, compiled to optimized prompts
Optimization`dspy.BootstrapFewShot`, `MIPROv2` auto-tune prompts against a metric
ToolsTools passed to `ReAct` module as callable listEach file in `tools/` exports one tool; schema comes from a Zod export
Chaining`dspy.ChainOfThought`, `dspy.Module` with `forward()` composition
Evaluation`dspy.Evaluate` with metric functions and dev sets
DurabilityVercel Workflow SDK checkpoints every step so a crashed agent resumes where it left off
Sub-agentsEach `subagents/*.ts` becomes a callable sub-agent the parent can hand off to
Sandboxed execVercel Sandbox runs untrusted code in isolated micro-VMs, one API call away
Schedules`schedules/*.ts` exports a cron expression + handler; Vercel runs it

Or build your own in 60 lines

Both DSPy and Eve 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 →