Ante vs. Deep Agents Code

Feature	Ante	Deep Agents Code
Tagline	Self-contained Rust agent harness with native offline inference	A pre-built coding agent powered by any LLM with tool calling
Website	https://ante.run/	https://docs.langchain.com/oss/deepagents/code/overview
Language	rust	python
Release Date	December 23, 2025	October 19, 2025
Last Updated	September 4, 2026	August 19, 2026
Provider Type	Independent	Independent
MCP Support	Yes	Yes
Multi-Agent Support	Yes	Yes
Git Integration	basic	basic
Multi-File Editing	Yes	Yes
Auto Test Running	No	No
Sandbox / Permissions	Yes	Yes
Image / Multimodal Input	Yes	No
Voice Mode	No	No
IDE Integration	None shipped; `ante serve` exposes a JSONL protocol for editor plugins	None - Terminal only
Hooks / Extensions	No	Yes
Web Search	Yes	Yes
Local Model Support	Yes	Yes
Context Window	Model-dependent	Model-dependent; compression at threshold
Terminal Bench 2.0	#24 · 69.4% ±2.1 1	#29 · 66.5% ±3.1 2
Supported Models	17 built-in presets: Anthropic, OpenAI, Google Gemini and Vertex, xAI Grok, DeepSeek, OpenRouter, Zai, Ali Coding Plan, Antix, plus any OpenAI-compatible endpoint via ~/.ante/catalog.json and any local GGUF model through the bundled llama.cpp	Any LangChain model: Claude, GPT-5, Gemini, DeepSeek, Ollama, Groq, xAI
Supported Subscriptions	Claude Code ChatGPT	ChatGPT
Pricing Model	Free, BYOK	BYOK
Free Tier	Yes	Yes
Price Range	Free (alpha preview)	Free (BYOK)
Source Code Availability	Proprietary Software	Open Source (MIT)
Source Code	https://github.com/AntigmaLabs/ante	https://github.com/langchain-ai/deepagents
Development State	active	active

¹ Ante tested with Gemini 3 Pro on Terminal Bench v2.0.

² Deep Agents Code tested with GPT-5.2-Codex on Terminal Bench v2.0.