Compare/Dirac vs WUPHF

AI tool comparison

Dirac vs WUPHF

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

D

Developer Tools

Dirac

Open-source coding agent that crushed TerminalBench-2 at 64.8% lower cost

Ship

75%

Panel ship

Community

Free

Entry

Dirac is an open-source AI coding agent built by Dirac Delta Labs that shot to the top of TerminalBench-2 with a 65.2% score using Gemini Flash — while costing 64.8% less than competing agents. Forked from Cline and rebuilt with a performance-first architecture, it handles file modifications, multi-file refactoring, terminal commands, and browser automation through an approval-based workflow. What sets Dirac apart is its technical substrate: hash-anchored edits replace fragile line-number targeting with stable content hashes, AST-native processing understands language structure for TypeScript, Python, and C++, and multi-file batching reduces LLM roundtrips by processing several files per call. The result is a leaner context that preserves model reasoning quality without burning through tokens. Available as both a VS Code extension and an npm CLI, Dirac supports Anthropic, OpenAI, Google, Groq, and Mistral as backends. Its Apache 2.0 license and strong TerminalBench showing on the affordable Gemini Flash model make it a compelling pick for developers who want production-grade coding assistance without the per-token bill shock.

W

Developer Tools

WUPHF

Open-source multi-agent 'office' — AI teams that think together

Ship

75%

Panel ship

Community

Paid

Entry

WUPHF is an open-source orchestration system that turns multiple LLM agents into a visible, collaborative 'office.' Spawn a CEO, PM, engineers, and designers as agents running simultaneously — all able to @mention each other, claim tasks, and maintain a shared wiki of knowledge. It's like GitHub for agent thought. The architecture is cleverly frugal: instead of accumulating context, WUPHF uses fresh sessions per turn with Claude's prompt caching, hitting 97% cache hit rates and dropping five-turn sessions to roughly $0.06. Agents are push-driven — they only wake when notified, meaning zero idle token burn. A dual memory system (per-agent Notebooks + shared Wiki) keeps the team aligned across sessions. Built by indie developers and spotted trending on Hacker News, WUPHF targets the rapidly growing segment of builders who want more than one AI "employee" but don't want to pay enterprise orchestration prices. Telegram bridge, Composio integration, and a clean web UI at localhost:7891 round out the package.

Decision
Dirac
WUPHF
Panel verdict
Ship · 3 ship / 1 skip
Ship · 3 ship / 1 skip
Community
No community votes yet
No community votes yet
Pricing
Free / Open Source (Apache 2.0)
Open Source (MIT)
Best for
Open-source coding agent that crushed TerminalBench-2 at 64.8% lower cost
Open-source multi-agent 'office' — AI teams that think together
Category
Developer Tools
Developer Tools

Reviewer scorecard

Builder
80/100 · ship

Topping TerminalBench-2 while being 64.8% cheaper is the kind of benchmark that actually matters to developers. The hash-anchored editing and AST-native approach fix the two most annoying failure modes of existing coding agents — wrong line edits and syntax-blind refactors.

80/100 · ship

The token-efficiency story alone makes this worth trying — $0.06 for a five-agent session is remarkable. The @mention graph and shared wiki are genuinely novel patterns that every multi-agent framework should steal.

Skeptic
45/100 · skip

It's a Cline fork with smart optimizations — not a ground-up rethink. TerminalBench-2 scores are reproducible only if you're running similar tasks; complex real-world codebases may tell a different story. Also, requiring your own API key still means real money.

45/100 · skip

The 'AI office' metaphor sounds fun until you're debugging why the agent-CEO contradicted the agent-PM three turns ago. Fresh-session architecture fixes cost but breaks longitudinal reasoning — agents can't truly learn from mistakes across days.

Futurist
80/100 · ship

The race to build the cheapest, most accurate coding agent is the real infrastructure play of 2026. Dirac's multi-provider support and lean context model are exactly the primitives that make agentic coding deployable at scale — not just on powerful machines.

80/100 · ship

This is what agent-native software development looks like before the big platforms catch up. The Telegram bridge and push-driven activation pattern hint at a world where your 'team' lives in your chat app, not a browser tab.

Creator
80/100 · ship

The VS Code extension makes it approachable for designers who code. Approval-based workflows mean it won't silently rewrite your carefully named CSS classes. Worth trying if you've been burned by agents that act first and apologize later.

80/100 · ship

Being able to spin up a dedicated 'creative director' agent alongside your developer agents is genuinely useful. The visible activity stream means you can actually see the creative process unfolding in real-time.

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