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Description

Cline is an open-source AI coding agent built to assist developers with software development tasks across IDEs, command-line environments, and embedded applications. The platform enables developers to analyze codebases, perform coordinated multi-file edits, execute terminal commands, automate workflows, and manage large refactoring projects from a unified agent runtime. Cline supports leading AI providers including Claude, OpenAI, Gemini, DeepSeek, Mistral, Ollama, AWS Bedrock, Azure, Vertex AI, and any OpenAI-compatible endpoint, allowing teams to choose the models that best fit their infrastructure and budget. Its Plan-and-Act workflow allows developers to review execution strategies before the agent begins making code changes, while optional auto-approval enables more autonomous operation when appropriate. Developers can customize behavior using repository-specific rules, reusable skills, MCP servers, plugins, and SDK extensions that integrate databases, APIs, infrastructure, and internal tools. Cline also supports bash execution, live command monitoring, coordinated code changes, automated linting, checkpoints, diffs, and one-click undo capabilities throughout development workflows. Multi-agent orchestration enables specialized AI agents to collaborate on larger engineering tasks while scheduled jobs can automate recurring maintenance and quality assurance activities. Integration with Slack, Discord, Linear, GitHub Actions, GitLab, and other developer platforms allows Cline to participate throughout the software delivery lifecycle. By combining open-source flexibility, broad model compatibility, and powerful automation features, Cline helps engineering teams accelerate software development without sacrificing control or transparency.

Description

DeepSeek Harness is a versatile open-source framework crafted to ensure that AI agents can effectively operate in dynamic real-world situations by enhancing their understanding of context, tool utilization, and the ability to manage intricate tasks. Utilizing the Cordis plugin architecture, it allows for the selection, modification, and reconfiguration of various capabilities without necessitating any alterations to the underlying source code. Each plugin contributes essential features, such as models, tools, skills, and session management, while Cordis oversees the integration of plugins, along with their dependencies, services, and event handling. A comprehensive session log, which is append-only, captures each run's details, documenting system prompts, reasoning processes, tool interactions, results, scheduling of subagents, and context adjustments. Developers can analyze these logs through the Trajectory view, which organizes records by their source, and they have the ability to utilize functions like resume, fork, search, and replay that interact seamlessly with the same event stream. This structured approach not only aids in troubleshooting but also enhances the overall efficiency of AI development and deployment.