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Discovered an open-source Deepseek memory plugin called OpenContext, which improves the long-term memory functionality of Agent frameworks through designs like Temporal Context Graphs and Trust Models.
Running the Qwen 3.8 27b model with vision on a single RTX 3090 GPU enables 150k context length, and integration with DeepSeek harness allows for plugin development, though a search engine plugin caused a system crash.
这是一个开源工具，可将飞书、微信、钉钉等九大平台的IM机器人统一接入DeepSeek Harness，方便开发者集成。
This article details the release of the AWiki plugin for DeepSeek Harness, enabling identity and messaging capabilities for AI agents with features like registration, direct messaging, group creation, and local data persistence.
Release of AWiki identity and messaging tool for DeepSeek Harness, featuring stable identity handles and local-first messaging to address attribution and silent-failure issues in AI agent systems.
This article provides a detailed tutorial on how to deploy DeepSeek Harness to a server, enabling team collaboration and remote access, and highlights its highly flexible plugin ecosystem.
DeepSeek Harness is an AI framework where models, tools, and other components are plugins, with a curated ecosystem available on GitHub for developers.
A sophomore student born in 2006 has open-sourced a DSH desktop client that gained 15k GitHub stars in 5 days, with the mobile version launching soon, sparking widespread attention.
The article tests whether DeepSeek Harness maintains high prompt caching rates when using alternative AI models, finding that GLM and Kimi achieve 97-99% cache reuse, while Opus shows no cache activity and GPT test failed.
DeepSeek Harness's minimal mode can autonomously complete the entire process from project setup to final delivery with just one instruction, successfully building a cyberpunk-style 3D city and demonstrating the powerful capabilities of AI programming.
The author ran Qwen3.8-27B locally using DeepSeek Harness, achieving fast inference and saving over $650 compared to API costs for equivalent workloads.
This paper evaluates indirect prompt injection risks in DeepSeek Harness using AI-Infra-Guard for controlled testing, finding notable attack success rates and recommending security controls.
On the DeepSeek Harness platform, someone creatively created a multiplayer Texas Hold'em game demo with real Tokens as chips, showcasing the innovative gameplay of combining AI Agents with Token economy.
A user shares positive experiences using the Qwen 3.8 27b model with DeepSeek Harness, praising its stability and long-context handling, but mentions speed limitations and hopes for future model releases.
DeepSeek has open-sourced Harness v0.1, a highly modular React web app for building agent systems with a plugin architecture, allowing developers to easily swap components.
The author comments on Deepseek Harness's plugin-based philosophy, arguing that it turns everything (GUI/TUI, etc.) into plugins and opposes hardcoding workflows. They compare it with Pi Agent and Prime-Agent, propose the idea of building a self-evolving Agent in a REPL, and have already started implementing it with Codex.
A DeepSeek team member invites developers of open-source projects related to Agent Harness to participate in the beta testing of DeepSeek Harness, with a GitHub ID and representative works required.
@dotey suggests Kimi Code and DeepSeek Harness develop GUI and support office tasks early, becoming general-purpose agents, and believes that only competing on TUI and Coding has no future.