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Introduces the .agents/skills/ directory included in the DeepSeek Harness release, containing 11 real engineering Skills (such as code review, pre-push checks, CoT leakage cleanup, etc.), which is equivalent to open-sourcing part of their engineering standards and Agent SOP.
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.
DeepSeek AI open-sources DeepSeek Harness (dsh), an agent harness with a plugin-based architecture powered by Cordis, currently in developer preview with breaking changes expected.
Coinbase, Shopify, and Ramp have each built internal coding agents, but all still rely on frontier models from Anthropic and others. The article highlights that enterprises are choosing to own the agent harness around the LLM, rather than the model itself.
The author announces mobile-harness, an open-source agent harness that provides a unified API for AI agents to control real iOS and Android devices, allowing any agent to automate mobile interactions.
A Tsinghua University summer course sharing, understanding core mechanisms of Agent Harness such as task loop, planning, context management, and tool invocation by reading Claude Code source code, with video and lecture notes provided.
Maka is an open-source Agent Harness. Through mechanisms such as log-as-runtime, context pruning, and thinking feedback, it cuts the cost of the same DeepSeek task to 1/8 of OpenCode, while achieving a higher pass rate on Terminal-Bench at lower cost.
Agentic Harness is a new open-source Python infrastructure that turns YAML files into executable agent workflows, featuring markdown audit logs, pre-built specialists, cost guardrails, native MCP support, and local model integration.
After comparing Agent Harnesses such as Pi agent, OMP, Zcode, Codex, and Opencode, the author believes that OpenChamber is the ideal GUI solution because it is open source, free from vendor lock-in, and supports secondary development. The article also introduces the main features of OpenChamber.
Saboo Shubham announced the open-source release of a template for building long-horizon agent harnesses that can dream and self-improve in the background.
This tweet highlights the new DataSpace benchmark for data agents, showing that harness choice significantly impacts accuracy across multimodal models and agent harnesses, with the best accuracy reaching 66.34% and the benchmark remaining unsaturated.
Maka has built-in support for DeepSeek API's web search. By declaring the web_search tool in the API request parameters, it eliminates the need to integrate third-party search engines, further improving compatibility with models like DeepSeek/GLM/Kimi.
OneDayAgent is a long-horizon harness for autonomous agents that decomposes open-ended tasks into bounded subtasks, manages execution memory under context pressure, and verifies/repairs final outputs. It achieves state-of-the-art results on AgentIF-OneDay with GLM-5.2 and generalizes across five backend LLMs.
Kiro's engineering team explains how they consolidated three client-specific agent harnesses (IDE, CLI, web) into a single agent harness to enable seamless session continuity across laptop, cloud, and mobile surfaces.
Introduces Flows, an execution and verification layer for software-building agents, arguing that agents need a separate completion signal alongside model confidence, demonstrated by a multi-module app with 59/59 checks passing.
A systematic review of 257 open-source projects in the comments of the DeepSeek Harness beta recruitment post reveals a three-tier ecosystem, with DeepSeek support at 49%, and offers recommendations for beta testing priorities.
Sean Chen discusses loop-based vs graph-based AI agent architectures and releases waku-agent, an open-source local-first AI assistant harness with memory, eval, and a ~95-line loop.
Y Combinator open-sources QM, a multiplayer agent harness for running agents across a whole organization, with scoped workspaces, durable sandboxes, and swappable harnesses like Claude Code and 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.
QM is an open-source multiplayer agent harness for startups, allowing employees to work with AI agents in isolated personal and shared workspaces across Slack and the web. It supports multiple agent harnesses like Pi, OpenCode, Codex, and Claude Code, with scoped memory, files, crons, and durable sandboxes.