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Jive fast-and-slow coding agent

Jive is an open-source terminal coding agent whose execution graphs mix tool and Jev calls so frontier LLMs handle planning and exceptions while Jev handles repetitive decisions.

The original Reddit report and merijjeyn/jive implementation were inspected on October 1, 2026; src/jev/client.ts calls the native System One endpoint. An LLM plans dependency graphs containing tool and Jev nodes, and code executes the graph. The README reports six tasks completed in 1m41s–3m26s, with 5.7k–11.1k output tokens. Three of those tasks made zero Jev calls, so the overall timing improvement cannot be attributed to Jev alone. These are small author-run comparisons, not a broad SWE-bench quality result.

Open source ↗ reddit.comcost-time1m41s-3m26s across six reported tasks
merijjeyn/jiveREADME ↗
# Jive

> Rethinking the Agentic Loop with System One Models

I have been thinking that the current Agentic Loop design of LLM Call -> Tool Call -> ... has been outdated. The arrival of Jev and other System One models provided us a primitive we desperately needed. We need an agent that can natively think fast and slow. Not have workflows or multi-agent architectures that mimics it.

The agent should be able to do its hard reasoning using the power of modern LLMs, capture an execution graph filled with steps and fast intuitive decisions, and prevent it from making LLM calls for just to "follow through the plan". 



**Jive** replaces "Tool Calls" with "Graph Calls", where each graph is a DAG-based workflow compromising of Tool Calls and Jev Calls. The agent can do bulk evaluation / analysis of datasets, multi-step profiling, repetitive tasks very efficiently with System One decisions sprinkled in between. 

## Install

```sh
curl -fsSL https://raw.githubusercontent.com/merijjeyn/jive/main/install.sh | sh
```

## Benchmark results



| Task | Agent | Time | Tool calls | LLM calls | Jev calls | Output tokens | Demo |
|---|---|---|---|---|---|---|---|
| `conversation_eval` | **Jive** | 3m 26s | 128 | 16 | 50 | 11,070 | [video](https://youtu.be/6ALYl0WVxTI) |
|  | Codex | 29m 33s | 59 | 60 | 0 | 20,467 |  |
|  | Claude Code | 16m 48s | 97 | 98 | 0 | 47,899 |  |
| `error_handling_audit` | **Jive** | 3m 10s | 43 | 10 | 0 | 10,656 | [video](https://youtu.be/KForiYcq0CM) |
|  | Codex | 19m 29s | 49 | 50 | 0 | 25,774 |  |
|  | Claude Code | 5m 08s | 53 | 54 | 0 | 42,508 |  |
| `product_matching` | **Jive** | 3m 03s | 299 | 9 | 140 | 8,921 | [video](https://youtu.be/g9j6arIXuD0) |
|  | Codex | 22m 00s | 47 | 48 | 0 | 19,742 |  |
|  | Claude Code | 32m 02s | 21 | 23 | 0 | 19,345 | 

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