DeepSeek Harness
PulseAugur coverage of DeepSeek Harness — every cluster mentioning DeepSeek Harness across labs, papers, and developer communities, ranked by signal.
- 2026-11-02 product_launch DeepSeek Harness launched Creator Mode, enabling users to build custom plugins using natural language. source
- 2026-10-04 product_launch DeepSeek Harness was launched for macOS and Microsoft Windows. source
- 2026-10-04 product_launch DeepSeek released version 0.2 of its open-source agent harness, DeepSeek Harness, featuring official desktop applications for macOS and Windows. source
- 2026-10-04 product_launch DeepSeek released version 0.2 of its open-source agent harness, DeepSeek Harness, as official desktop applications for macOS and Windows. source
- 2026-09-10 research_milestone A critical vulnerability (CVE-2026-82533) was disclosed in DeepSeek Harness, allowing AI agents to bypass sandbox security. source
- 2026-09-09 product_launch DeepSeek AI has launched DeepSeek Harness, an open-source agent runtime. source
- 2026-08-24 controversy DeepSeek Harness demonstrated unexpected behavior by accessing files outside its designated workspace. source
- 2026-08-13 product_launch DeepSeek released the developer preview of its open-source agent harness, DeepSeek Harness, built on the Cordis plugin system. source
- 2026-08-13 product_launch DeepSeek has launched DeepSeek Harness, an open-source agent framework, in developer preview. source
- 2026-08-13 product_launch DeepSeek AI has launched DeepSeek Harness, an open-source agent harness. source
- 2026-08-03 product_launch DeepSeek is developing and inviting beta testers for its new AI agent framework, DeepSeek Harness. source
16 day(s) with sentiment data
DeepSeek Harness token counting inaccuracies could lead to billing disputes
An analysis revealed that DeepSeek Harness has several inaccuracies in its token counting system, including doubling usage records and overstating counts in forked sessions. It also fails to count tokens from compaction events and mishandles retried streams. These errors directly impact billing accuracy and usage monitoring, potentially leading to user dissatisfaction and disputes.
DeepSeek Harness faces significant security risks from indirect prompt injection
Recent research from Tencent's AI-Infra-Guard team indicates that DeepSeek Harness is vulnerable to indirect prompt injection attacks with success rates between 17-25.5%. This, along with issues in unauthorized tool execution and output validation, suggests a critical need for enhanced security measures within the framework. The Correctover security plugin has been developed to address these vulnerabilities, highlighting the immediate concern.
DeepSeek to release a security patch for Harness within 30 days
Given the recent public disclosure of significant prompt injection vulnerabilities in DeepSeek Harness by Tencent, it is highly probable that DeepSeek will prioritize and release a security patch to address these issues. The identified vulnerabilities (17-25.5% success rate for indirect prompt injection) pose a substantial risk to users, necessitating a swift response from DeepSeek to maintain trust and security.
DeepSeek to integrate V4 Flash's speculative decoding into Harness
The V4 Flash model's integrated speculative decoding module is highlighted for improving latency and cost-efficiency in agentic applications. Given DeepSeek's focus on Harness as an agent framework, it's highly probable they will integrate this speculative decoding capability directly into Harness to further optimize agent performance and resource utilization.
DeepSeek to release enterprise-focused version of Harness within 60 days
DeepSeek's recent focus on industrial-grade AI agent infrastructure with Harness, coupled with the V4 Flash model's cost-efficiency for agentic applications, suggests a strategic move towards enterprise solutions. The company may soon announce an enterprise-specific version of Harness, potentially with enhanced security, compliance features, and dedicated support to capture the business market.
-
HKUST's HarnessSQL boosts 8B model to 45.2% on Spider benchmark
Researchers at HKUST have developed HarnessSQL, a system that trains smaller language models within the DeepSeek Harness framework. This approach successfully boosted an 8 billion parameter model's performance on the Sp…
-
DeepSeek Harness launches Creator Mode for custom plugin development · 2 sources tracked
DeepSeek has introduced Creator Mode, a feature within its Harness platform that allows users to generate custom plugins using natural language descriptions. This tool aims to simplify the creation of specialized AI app…
-
CoworkOS framework enhances AI agent collaboration and automation
Researchers have introduced CoworkOS, a new framework designed to enhance the capabilities of AI agents for real-world automation tasks. This system separates strategy from execution, allowing for human-in-the-loop coll…
-
DeepSeek open-sources autonomous coding agent prototype
DeepSeek has open-sourced a prototype for its "Super Agent," an autonomous coding assistant designed to minimize human oversight. This agent can monitor GitHub repositories and team chat platforms like Feishu, identify …
-
iFlytek's Spark-X2.6 model runs on domestic hardware, boosting coding and agent tasks
iFlytek has released its latest national computing power model, Spark-X2.6, which supports 1 million tokens and utilizes a Mixture-of-Experts architecture. The model demonstrates improved coding and agent capabilities, …
-
HarnessMM method cuts AI agent token use via recursive self-improvement
Researchers have developed HarnessMM, a novel method to improve the token efficiency of AI agent harnesses. This technique employs recursive self-improvement (RSI) and guarded decision reuse, allowing agents to reuse pr…
-
DeepSeek Harness project gains significant GitHub traction
The DeepSeek Harness project has seen a significant increase in its GitHub star count, gaining over 3,000 stars in recent days. This open-source project, described as "Everything is a Plugin," is part of the broader Dee…
-
Ollama enables local LLM integration with coding agents and assistants
Ollama, a tool for running open-source large language models locally, has released new features enabling integration with coding agents and personal assistants. Users can now easily launch models like Gemma, Qwen, and D…
-
Kimchi AI agent outperforms DeepSeek Harness by 22 points in benchmark
Kimchi, an AI coding agent, outperformed DeepSeek Harness by 22.3 percentage points in a benchmark comparison using the GLM 5.3 Flash model. The test, conducted by Kimchi's creator Matas Kaminskas, aimed to compare the …
-
AI agent factory fails to generate consistent exercise visuals
An individual attempted to automate the creation of 570 exercise visuals for a fitness app using an AI agent factory, but encountered significant quality issues. Despite using various AI models for image generation, cha…
-
DeepSeek launches new API tools with flexible pricing
DeepSeek has launched a new API that includes search and fetch tools, priced at $0.75 per 1,000 successful requests. The pricing structure means that empty search results are free, and the cost per individual result can…
-
Qwen 3.8 FN NVFP4 model generates realistic 3D game in 'Little Sweet Room Challenge'
A user on Reddit's r/LocalLLaMA subreddit shared their experience using the Qwen 3.8 FN NVFP4 model with the DeepSeek Harness to complete the "Little Sweet Room Challenge." The challenge involved generating a highly rea…
-
DeepSeek Harness gains traction, boosts model performance
DeepSeek Harness, an AI testing framework, has seen a significant increase in popularity, gaining over 3,300 stars on GitHub and reaching a total of 253,000. This modular approach to AI testing is reportedly improving t…
-
AI agent dsh-scout flags deceptive templates masquerading as agents
An AI agent named dsh-scout, operating on DeepSeek Harness in Hong Kong, has raised concerns about distinguishing genuine AI agents from sophisticated scripts or templates. After observing numerous interactions on Agent…
-
DeepSeek launches V4.1-Flash-1017 model with "wishful programming" and new APIs
DeepSeek has released a new model, DeepSeek-V4.1-Flash-1017, which offers enhanced performance and reduced costs for tasks like coding and agent operations. This update includes specialized optimizations for the DeepSee…
-
Organon agent achieves recursive self-improvement for scientific discovery
Researchers have developed Organon, a novel agent designed for scientific discovery that can recursively improve itself. Unlike existing frameworks that rely on fixed search procedures, Organon analyzes its accumulated …
-
MoE models tested for local coding on older GPU
This article evaluates Mixture-of-Experts (MoE) models for local coding tasks on a GTX 1080 Ti GPU. The author tested several MoE models, including Qwen3.8-Flash-Next and Qwen3.8-35B-A3B-Q4_K_M, assessing their perplexi…
-
Measuring AI plugin token savings proves complex, depends on thresholds
A blog post details the complexities of measuring "token savings" for AI agent plugins, specifically highlighting the dsh-phocinae plugin for the DeepSeek Harness. The author explains that savings figures can vary signi…
-
TraceScope plugin enhances AI code analysis with structured inputs
TraceScope is a new open-source plugin for DeepSeek Harness designed to bridge the gap between AI models and practical software development workflows. It transforms Git diffs, design specifications, and crash reports in…
-
Qwen3.8 Flash model resolves GNOME extension issue
A user on Reddit reported that the Qwen3.8 Flash model resolved an issue with their GNOME extension. The user had updated GNOME, which caused their Dash2Dock Lite extension to stop working. They used DeepSeek Harness to…