MiroMindAI/MiroThinker
Aug 2025 – Jan 2026
6 Months active
Languages Used
BashMarkdownPythonShellYAMLbashyamltext
Technical Skills
AI EvaluationAI integrationAI model evaluationAPI integrationCode QualityContinuous Integration
Jenny Chen
PROFILE
Jenny Chen
Jenny contributed to the MiroMindAI/MiroThinker repository, delivering a robust AI automation and evaluation platform over six months. She engineered features such as scalable context management, benchmarking frameworks, and secure API key handling, using Python, Bash, and YAML. Her work included refactoring backend components for reliability, integrating new web search and scraping tools, and enhancing session tracking and error handling. Jenny improved documentation and onboarding, streamlined logging, and enabled cost-efficient model deployments. By focusing on configuration-driven design and rigorous testing, she ensured the system’s maintainability and adaptability, demonstrating depth in backend development, DevOps, and AI integration throughout the project lifecycle.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
102Total
Bugs
9
Commits
102
Features
45
Lines of code
45,407
Activity Months6
Your Network
9 peopleSame Organization
@miromind.ai2
Work History
January 2026
24 Commits • 14 Features
Jan 1, 2026January 2026 performance summary for MiroMindAI/MiroThinker (2026-01). Focused on stability, reliability, and deployment readiness. Key releases and fixes include MiroThinker v1.5 release with updated context management, Gaia validation migrated to llm-as-judge, failure report generation, and refined final answer generation. Significant robustness improvements: input handler hardening, correct turn_count handling when LLM response is empty, and improved logging granularity (stopping date-based grouping and excluding placeholders from last boxed results). Reliability and deployment readiness improvements: fixed TASKS_PER_RUN in browsecomp, rolled back jina_scrape_llm_summary tool, re-enabled flex service tier, and Gradio demo updates for local deployment. Documentation and integration efforts extended to README and Lobehub integration docs, plus chat template fixes for MiroThinkerToolParser.
24 Commits • 14 Features
Jan 1, 2026January 2026 performance summary for MiroMindAI/MiroThinker (2026-01). Focused on stability, reliability, and deployment readiness. Key releases and fixes include MiroThinker v1.5 release with updated context management, Gaia validation migrated to llm-as-judge, failure report generation, and refined final answer generation. Significant robustness improvements: input handler hardening, correct turn_count handling when LLM response is empty, and improved logging granularity (stopping date-based grouping and excluding placeholders from last boxed results). Reliability and deployment readiness improvements: fixed TASKS_PER_RUN in browsecomp, rolled back jina_scrape_llm_summary tool, re-enabled flex service tier, and Gradio demo updates for local deployment. Documentation and integration efforts extended to README and Lobehub integration docs, plus chat template fixes for MiroThinkerToolParser.
January 2026
December 2025
17 Commits • 8 Features
Dec 1, 2025December 2025 monthly summary for MiroMindAI/MiroThinker highlights a broad set of feature deliveries, reliability improvements, and cost-conscious optimizations across the core automation stack. The delivered work focused on empowering users with robust task management, reliable data collection, safer testing, and configurable, scalable agent behavior, while also enabling cost-aware execution for large-scale summaries.
December 2025
17 Commits • 8 Features
Dec 1, 2025December 2025 monthly summary for MiroMindAI/MiroThinker highlights a broad set of feature deliveries, reliability improvements, and cost-conscious optimizations across the core automation stack. The delivered work focused on empowering users with robust task management, reliable data collection, safer testing, and configurable, scalable agent behavior, while also enabling cost-aware execution for large-scale summaries.
November 2025
14 Commits • 5 Features
Nov 1, 2025November 2025 delivered a production-ready MiroThinker v1.0 release with strong business value and strengthened reliability. Key features include an interactive scaling experience, a 256K context window, and support for up to 600 tool calls per task, complemented by comprehensive documentation (release notes, README, quick start guide, FAQs, benchmarks, and references). The month also advanced session management and evaluation visibility, with a new session ID header for HTTP requests and Pass@K accuracy metrics integrated into ProgressChecker for clearer logging. Licensing and maintenance improved governance and stability through MIT licensing and dependency/branding alignment (MiroMind copyright headers and e2b-code-interpreter 1.2.1).
14 Commits • 5 Features
Nov 1, 2025November 2025 delivered a production-ready MiroThinker v1.0 release with strong business value and strengthened reliability. Key features include an interactive scaling experience, a 256K context window, and support for up to 600 tool calls per task, complemented by comprehensive documentation (release notes, README, quick start guide, FAQs, benchmarks, and references). The month also advanced session management and evaluation visibility, with a new session ID header for HTTP requests and Pass@K accuracy metrics integrated into ProgressChecker for clearer logging. Licensing and maintenance improved governance and stability through MIT licensing and dependency/branding alignment (MiroMind copyright headers and e2b-code-interpreter 1.2.1).
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on key accomplishments, features delivered, bugs fixed, impact, and technical skills demonstrated. Highlights security-driven improvements and configuration-based enablement for API key management.
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on key accomplishments, features delivered, bugs fixed, impact, and technical skills demonstrated. Highlights security-driven improvements and configuration-based enablement for API key management.
September 2025
20 Commits • 5 Features
Sep 1, 2025September 2025 focused on reliability, efficiency, and tooling enhancements for MiroMindAI/MiroThinker. Key outcomes include: 1) Scraping orchestration improvements with repeat detection and early stopping to prevent dead loops and reduce unnecessary queries, boosting throughput and stability. 2) Demo-mode fixes addressing data truncation, tool renaming compatibility, and sub-agent query tracking to improve reliability of experiments. 3) Introduction of new tooling: Tencent Sougou-based web search and the Xbench-deepresearch benchmarking framework for model evaluation. 4) Comprehensive documentation and usage updates reflecting latest features and configurations. 5) Code quality improvements and MCP tooling enhancements, including Ruff-based import sorting and shared logic refactor for better maintainability and model compatibility. 6) Sandbox timeout configurability enabling longer-running tasks. Overall impact: faster, more reliable scraping pipelines; improved data fidelity and experiment reliability; enhanced evaluation capabilities; and greater flexibility for long-running tasks, contributing to faster iterations and better business outcomes.
20 Commits • 5 Features
Sep 1, 2025September 2025 focused on reliability, efficiency, and tooling enhancements for MiroMindAI/MiroThinker. Key outcomes include: 1) Scraping orchestration improvements with repeat detection and early stopping to prevent dead loops and reduce unnecessary queries, boosting throughput and stability. 2) Demo-mode fixes addressing data truncation, tool renaming compatibility, and sub-agent query tracking to improve reliability of experiments. 3) Introduction of new tooling: Tencent Sougou-based web search and the Xbench-deepresearch benchmarking framework for model evaluation. 4) Comprehensive documentation and usage updates reflecting latest features and configurations. 5) Code quality improvements and MCP tooling enhancements, including Ruff-based import sorting and shared logic refactor for better maintainability and model compatibility. 6) Sandbox timeout configurability enabling longer-running tasks. Overall impact: faster, more reliable scraping pipelines; improved data fidelity and experiment reliability; enhanced evaluation capabilities; and greater flexibility for long-running tasks, contributing to faster iterations and better business outcomes.
September 2025
August 2025
26 Commits • 12 Features
Aug 1, 2025August 2025 highlights for MiroMindAI/MiroThinker: Delivered a blend of documentation, evaluation tooling, platform refinements, and reliability improvements that advance onboarding, measurement, and product quality. Key features delivered include documentation and OSS tooling updates (README creation and ongoing improvements), evaluation pipeline enhancements (update evaluation scripts and YAML config) and benchmark support, a major project rename from mirage to miroflow with updated references, audio server compatibility updates, and broader observability, serialization, and UX improvements. Major bugs fixed include correcting browsecomp pass_at_k behavior and stabilizing the boxed extractor to handle deeper nested braces. Collectively, these efforts reduce onboarding time, enable repeatable benchmarking, and improve reliability across the MiroThinker stack.
August 2025
26 Commits • 12 Features
Aug 1, 2025August 2025 highlights for MiroMindAI/MiroThinker: Delivered a blend of documentation, evaluation tooling, platform refinements, and reliability improvements that advance onboarding, measurement, and product quality. Key features delivered include documentation and OSS tooling updates (README creation and ongoing improvements), evaluation pipeline enhancements (update evaluation scripts and YAML config) and benchmark support, a major project rename from mirage to miroflow with updated references, audio server compatibility updates, and broader observability, serialization, and UX improvements. Major bugs fixed include correcting browsecomp pass_at_k behavior and stabilizing the boxed extractor to handle deeper nested braces. Collectively, these efforts reduce onboarding time, enable repeatable benchmarking, and improve reliability across the MiroThinker stack.
Activity
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Quality Metrics
Correctness95.2%
Maintainability91.8%
Architecture92.2%
Performance91.6%
AI Usage53.2%
Skills & Technologies
Programming Languages
BashMarkdownPythonShellYAMLbashplaintexttextyaml
Technical Skills
AI DevelopmentAI EvaluationAI IntegrationAI developmentAI integrationAI model deploymentAI model evaluationAI model performance evaluationAPI DevelopmentAPI IntegrationAPI developmentAPI integrationBackend DevelopmentBash scriptingBenchmarking
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