DeepSeek Harness opens door to customizable, self-evolving agents · 10 sources tracked
ByPulseAugur Editorial·[32 sources]·
DeepSeek has released its open-source DeepSeek Harness (DSH) agent framework, built on the Cordis plugin system, allowing for extreme customization where "everything is a plugin." This architecture enables developers to swap or extend any component, from models and tools to the agent loop itself, facilitating self-evolving agents. The framework has gained significant traction on GitHub, with users creating a vast array of plugins for practical tasks, creative applications like mini-games and digital pets, and even for managing politeness. While the flexibility is lauded, potential concerns include the complexity and cost associated with extensive plugin usage and DeepSeek's recent API price increases.
AI
IMPACT
Enables highly customizable agent runtimes, potentially accelerating the development of self-evolving AI agents and fostering a new ecosystem of plugins.
RANK_REASON
DeepSeek released an open-source agent harness framework with a novel plugin architecture, generating significant developer interest and discussion.
QiAnXin Threat Intelligence Center disclosed an unauthenticated remote-code-execution vulnerability in DeepSeek Harness (CVSS 9.8), from flawed HTTP Host-header validation, with proof-of-concept code already public.
Last night DeepSeek Harness released v0.1.0-rc.8, its first significant update since public beta, with 14 changes covering multimodal input, subagent collaboration, terminal experience, tool calling, and developer support. New native image requests and mixed text-image input let …
DeepSeek open-sourced DeepSeek Harness (CLI: dsh) on August 13, and GitHub stars passed 140,000 within days. Built on the Cordis microkernel, every component including the agent loop itself is a plugin, betting that Harness becomes the baseboard of the agent era: Model + Harness …
<p>DeepSeek Harness v0.1 is an MIT-licensed agent harness where every capability is a Cordis plugin. Four runtime modes, append-only session logs, and provider-agnostic model routing.</p> <p>The post <a href="https://www.marktechpost.com/2026/08/17/deepseek-ai-releases-deepseek-h…
On August 13, DeepSeek released the official V4 Pro model and the developer preview of DeepSeek Harness, open-sourced under the MIT license. Built on the Cordis plugin system, Harness treats every agent capability as a plugin and ships append-only session logs with full trajector…
Medium — AI coding tag
TIER_1English(EN)·Breath of Code·
https://www. europesays.com/3204605/ The Open-Sourcing of DeepSeek Harness Opens the Door to Modular, Unbundled AI Agent Infrastructure # AgenticAI # AgenticAiArchitecture # AgenticArtificialIntelligence # AI # AIAssistedCoding # AICoding # AIHarness # ArtificialIntelligence # De…
<p><em>An agent that can explain its actions is more useful than one that merely sounds confident. DeepSeek Harness puts that idea near the centre of its design. The interesting question is what a developer should demand before trusting the record</em></p><figure><img alt="" src=…
DeepSeek has released Harness v0.1, an MIT-licensed agent framework where every capability is a plugin. The framework offers four runtime modes including standard coding agent, code mode, minimal for benchmarking, and creator mode for experimentation. https://www. marktechpost.co…
DeepSeek has launched Harness, an open-source agent framework with four work modes. The product follows the formula Model plus Harness equals Agent, connecting AI models to real-world tools. Early reviewers call it the most ambitious open-source agent of the year. https:// pandai…
<p>DeepSeek Harness takes “everything is a plugin” unusually far. Models, tools, sessions, the agent loop, and UI surfaces all live in a Cordis composition.</p> <p>That freedom creates an interoperability problem: what if your primary agent is <em>not</em> DSH?</p> <p>An MCP-capa…
# DeepSeek just released DeepSeek Harness (dsh) under the MIT license! Built on Cordis, it unbundles agent infrastructure into a modular micro-kernel where models, tools, and execution loops operate as interchangeable plugins. 4 baseline modes in v0.1 preview: 🔹 Standard 🔹 Code 🔹…
<p>Most agent frameworks treat the runtime as scaffolding. You write tool definitions, wire up a prompt loop, and ship the agent. The harness is invisible infrastructure.</p> <p>DeepSeek Harness (<code>dsh</code>) flips that model. It treats the runtime itself as the product surf…
<!-- SC_OFF --><div class="md"><p>With vision enabled I am able to run at 150k context on a single RTX 3090 and the results are just amazing. I was even able to write a gmail plugin for DeepSeek harness with locally hosted Qwen 3.8 27b. Funny enough, when I had it write a search …
The new DeepSeek harness is impressive. I'm using it with DeepSeek v4 pro / flash and Kimi K3. It's super efficient with DeepSeek models. Refactors that would have cost me about $50 with Anthropic/OpenAI models cost me a couple of bucks. But most importantly, the US government ca…
<p>I spent three days planning an AI feature.</p> <p>The actual API call took less than five minutes.</p> <p>The difficult part was not making AI work. It was understanding the basic workflow: how to connect an application, send a request, handle the response, and turn an AI mode…
🧠 # DeepSeek , oltre a lanciare V4-Pro, ha rilasciato DeepSeek Harness v0.1, un’infrastruttura open source pensata per chi costruisce agenti # AI . 👉 I dettagli: https://www. linkedin.com/posts/alessiopoma ro_deepseek-ai-cordis-share-7495358537515278336-0vo_/ ___ ✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻…
кажуть - імба. DeepSeek Harness: новий Open Source AI-агент, який може змінювати сам себе https://www.youtube.com/watch?v=x7BLV-6rbQE #llm #ai #deepseekharness
