
Over 14 months, LZW developed and maintained the FellouAI/eko repository, delivering a robust browser automation and AI agent orchestration platform. LZW architected modular systems for multi-agent workflows, parallel tool execution, and adaptive planning, integrating TypeScript and Node.js for cross-environment compatibility. The work included advanced browser extension features, LLM orchestration, and resilient error handling, with enhancements to content extraction, chat interfaces, and release engineering. By refactoring core modules and optimizing both frontend and backend flows, LZW improved reliability, maintainability, and developer experience, enabling scalable automation and AI-driven interactions that support rapid iteration and stable customer deployments.

January 2026 monthly summary for FellouAI/eko: Key features delivered include BrowserAgent enhancements with back navigation, error handling improvements, screenshot improvements, and viewport handling, plus release/versioning updates; and RetryLanguageModel v4.1.2 improvements for large context handling and option filtering. These changes improve navigation reliability, model quality, and deployment traceability, delivering tangible business value and reducing post-release issues.
January 2026 monthly summary for FellouAI/eko: Key features delivered include BrowserAgent enhancements with back navigation, error handling improvements, screenshot improvements, and viewport handling, plus release/versioning updates; and RetryLanguageModel v4.1.2 improvements for large context handling and option filtering. These changes improve navigation reliability, model quality, and deployment traceability, delivering tangible business value and reducing post-release issues.
December 2025 (2025-12) highlights strong delivery in automation features, cross-environment compatibility, and maintainability for FellouAI/eko. Key features were implemented, reliability improved, and a solid release cadence established to support customer deployments and future iterations. Key features delivered: - Chromium bot bypass: Implemented automation bypass for headless Chromium environments to improve reliability of bot workflows (commit 5ccaff7b6fa45ace0f8487264b9c81fb5d08d31f). - LLM call and React integration helpers: Added callLLM and callWithReact to streamline AI-assisted flows (commit b09e790badbf8f09f4fb42018fa4eac95e4d58b2). - Extract_page_content enhancements: Improved and optimized extraction logic for better content reliability and performance (commits edf50e6a407f82e30783d938ad7b6c7561d4f562; 9481ba4678a92d332c19db6f4a6ec71f13f2a64a; 1f369e53c27b238beb4a148c9e6f5e686197d2e4). - Node.js browser integration, cookies, and providerOptions: Expanded runtime support and configuration for Node.js contexts (commits 1d09be0956e1dc0c50fcb27bab0c4387f7e800db; e60688970187737bb642b0e48d40afb936a46fa6; a90dd287efd097437e5868009d4e28165b57b43b). - Versioning and release readiness: Managed release cadence with multiple version bumps and 4.1.0 preparation to enable stable deployments (commits d96b270a94798485d36a2fccc30f850ecab4cd81; c2c4e8694462dd329ee189fc101126205d433972; ed7ccc30d2e5f1652cef51e4e0fc5d4471ebf4f0; 8462cf0569738f09cda97eab64e9d74c488d274d; a2a9cba581e07c6ad86ccab8f80061047a17edac). - Extended maintenance and improvements: Ongoing maintenance, React and extension refinements, and type definitions updates to improve stability and developer experience (commits include multiple chore updates such as b306f0d32cccd9d296f91c0798a135d125c6aa8c; b5d944f30c2e47f41ab55259961929ffee6ce177; 50870e48fd74871721c7a337f74628fcf80d9097). Major bugs fixed: - Extension input handling bug fixed to improve user interactions and data flow (commit a7621aea868f1401d27260f76f5e4967ca04d61a). Overall impact and accomplishments: - Delivered tangible automation capabilities and robust cross-env support, enabling reliable workflows in both browser and Node.js contexts. - Strengthened release engineering and versioning processes, accelerating deployment of features to customers. - Improved code quality and maintainability through type definitions updates, refactors, and extension/React maintenance. Technologies and skills demonstrated: - Frontend and backend integration patterns, React hooks, and LLM orchestration (callLLM, callWithReact). - Cross-environment compatibility (Chromium bot bypass, Node.js browser integration, cookies, providerOptions). - TypeScript typings discipline and module resolution strategies (typings updates, nodenext/bundler/node support). - Performance and reliability optimizations in content extraction and general maintenance.
December 2025 (2025-12) highlights strong delivery in automation features, cross-environment compatibility, and maintainability for FellouAI/eko. Key features were implemented, reliability improved, and a solid release cadence established to support customer deployments and future iterations. Key features delivered: - Chromium bot bypass: Implemented automation bypass for headless Chromium environments to improve reliability of bot workflows (commit 5ccaff7b6fa45ace0f8487264b9c81fb5d08d31f). - LLM call and React integration helpers: Added callLLM and callWithReact to streamline AI-assisted flows (commit b09e790badbf8f09f4fb42018fa4eac95e4d58b2). - Extract_page_content enhancements: Improved and optimized extraction logic for better content reliability and performance (commits edf50e6a407f82e30783d938ad7b6c7561d4f562; 9481ba4678a92d332c19db6f4a6ec71f13f2a64a; 1f369e53c27b238beb4a148c9e6f5e686197d2e4). - Node.js browser integration, cookies, and providerOptions: Expanded runtime support and configuration for Node.js contexts (commits 1d09be0956e1dc0c50fcb27bab0c4387f7e800db; e60688970187737bb642b0e48d40afb936a46fa6; a90dd287efd097437e5868009d4e28165b57b43b). - Versioning and release readiness: Managed release cadence with multiple version bumps and 4.1.0 preparation to enable stable deployments (commits d96b270a94798485d36a2fccc30f850ecab4cd81; c2c4e8694462dd329ee189fc101126205d433972; ed7ccc30d2e5f1652cef51e4e0fc5d4471ebf4f0; 8462cf0569738f09cda97eab64e9d74c488d274d; a2a9cba581e07c6ad86ccab8f80061047a17edac). - Extended maintenance and improvements: Ongoing maintenance, React and extension refinements, and type definitions updates to improve stability and developer experience (commits include multiple chore updates such as b306f0d32cccd9d296f91c0798a135d125c6aa8c; b5d944f30c2e47f41ab55259961929ffee6ce177; 50870e48fd74871721c7a337f74628fcf80d9097). Major bugs fixed: - Extension input handling bug fixed to improve user interactions and data flow (commit a7621aea868f1401d27260f76f5e4967ca04d61a). Overall impact and accomplishments: - Delivered tangible automation capabilities and robust cross-env support, enabling reliable workflows in both browser and Node.js contexts. - Strengthened release engineering and versioning processes, accelerating deployment of features to customers. - Improved code quality and maintainability through type definitions updates, refactors, and extension/React maintenance. Technologies and skills demonstrated: - Frontend and backend integration patterns, React hooks, and LLM orchestration (callLLM, callWithReact). - Cross-environment compatibility (Chromium bot bypass, Node.js browser integration, cookies, providerOptions). - TypeScript typings discipline and module resolution strategies (typings updates, nodenext/bundler/node support). - Performance and reliability optimizations in content extraction and general maintenance.
November 2025 delivered a modular chat stack with expanded capabilities, improved reliability, and a refreshed release cycle for FellouAI/eko. The work enhanced maintainability, user experience, and platform readiness, enabling faster delivery of features and more robust interactions for end users.
November 2025 delivered a modular chat stack with expanded capabilities, improved reliability, and a refreshed release cycle for FellouAI/eko. The work enhanced maintainability, user experience, and platform readiness, enabling faster delivery of features and more robust interactions for end users.
October 2025 monthly summary for FellouAI/eko: Focused on reliability, contextual LLM orchestration, and adaptive planning, delivering core features, safer text processing, robust error handling, and UX improvements that directly drive consistency and user value across content extraction, planning, and image/DOM interactions.
October 2025 monthly summary for FellouAI/eko: Focused on reliability, contextual LLM orchestration, and adaptive planning, delivering core features, safer text processing, robust error handling, and UX improvements that directly drive consistency and user value across content extraction, planning, and image/DOM interactions.
September 2025 monthly summary for FellouAI/eko: Delivered core framework improvements, refined planning prompts, and a critical bug fix that together boosted throughput, planning quality, and conversational reliability. Emphasis on business value through faster task completion, more accurate agent guidance, and a stronger foundation for maintainability and future growth.
September 2025 monthly summary for FellouAI/eko: Delivered core framework improvements, refined planning prompts, and a critical bug fix that together boosted throughput, planning quality, and conversational reliability. Emphasis on business value through faster task completion, more accurate agent guidance, and a stronger foundation for maintainability and future growth.
August 2025 (2025-08) Highlights for FellouAI/eko: a major platform upgrade spanning SDK, dialogue orchestration, LLM integrations, streaming robustness, and core stability. Key outcomes include: upgrading AI SDK to v2 with SimpleStdio MCP Client enabling seamless inter-process tooling; a redesigned Dialogue System with segmented execution to pause/resume planning and improved error handling; OpenAI-compatible and multi-provider LLM support with providerDefaults refactor to enable running multiple APIs; enhanced LLM streaming with separate text and reasoning streams and more reliable tool output handling; and core stability improvements addressing parallel processing, abort flows, and error messaging across MCP clients. These changes improve reliability, flexibility in provider choice, and responsiveness, delivering faster experimentation and more robust user experiences. Further TS config maintenance supports stronger type checks and ES compatibility, laying groundwork for ongoing browser-agent enhancements.
August 2025 (2025-08) Highlights for FellouAI/eko: a major platform upgrade spanning SDK, dialogue orchestration, LLM integrations, streaming robustness, and core stability. Key outcomes include: upgrading AI SDK to v2 with SimpleStdio MCP Client enabling seamless inter-process tooling; a redesigned Dialogue System with segmented execution to pause/resume planning and improved error handling; OpenAI-compatible and multi-provider LLM support with providerDefaults refactor to enable running multiple APIs; enhanced LLM streaming with separate text and reasoning streams and more reliable tool output handling; and core stability improvements addressing parallel processing, abort flows, and error messaging across MCP clients. These changes improve reliability, flexibility in provider choice, and responsiveness, delivering faster experimentation and more robust user experiences. Further TS config maintenance supports stronger type checks and ES compatibility, laying groundwork for ongoing browser-agent enhancements.
July 2025 - FellouAI/eko: Concise monthly summary focusing on business value and technical achievements. Key features delivered included Agent Parallel Execution and Dependency Management Enhancements, MCP Client Enhancements, LLM Model Options and Documentation Improvements, and a Browser/Platform Minor Refactor. Major bugs fixed: none reported this month; stability maintained via refactors. Overall impact: accelerated, scalable agent orchestration and improved streaming capabilities, with up-to-date model options and documentation; improved developer productivity. Technologies/skills demonstrated: parallel processing architecture, dependency management, streaming MCP protocol, TypeScript refactors, and documentation discipline.
July 2025 - FellouAI/eko: Concise monthly summary focusing on business value and technical achievements. Key features delivered included Agent Parallel Execution and Dependency Management Enhancements, MCP Client Enhancements, LLM Model Options and Documentation Improvements, and a Browser/Platform Minor Refactor. Major bugs fixed: none reported this month; stability maintained via refactors. Overall impact: accelerated, scalable agent orchestration and improved streaming capabilities, with up-to-date model options and documentation; improved developer productivity. Technologies/skills demonstrated: parallel processing architecture, dependency management, streaming MCP protocol, TypeScript refactors, and documentation discipline.
June 2025 monthly summary for FellouAI/eko focused on delivering robust features, stabilizing core workflows, and improving user interactions. Key capabilities shipped include enhanced browser agent handling, LLMs and user chat support within the agent, CDP support with custom LLM requests, and improvements to content extraction tooling and extension configuration. In parallel, major bug fixes stabilized initialization, DOM build, XML parsing edge cases, and tool reliability, with refinements to error guidance and history/interaction controls. These outcomes collectively improve reliability, performance, and developer UX while enabling richer, scalable interactions and planning workflows.
June 2025 monthly summary for FellouAI/eko focused on delivering robust features, stabilizing core workflows, and improving user interactions. Key capabilities shipped include enhanced browser agent handling, LLMs and user chat support within the agent, CDP support with custom LLM requests, and improvements to content extraction tooling and extension configuration. In parallel, major bug fixes stabilized initialization, DOM build, XML parsing edge cases, and tool reliability, with refinements to error guidance and history/interaction controls. These outcomes collectively improve reliability, performance, and developer UX while enabling richer, scalable interactions and planning workflows.
May 2025: Delivered core Eko v2 enhancements and reliability improvements for FellouAI/eko. Key features include multi-agent support, enhanced callback infrastructure with streamId and context initialization flow, and LLM streaming timeout configuration. Also updated MCP params/workflow configuration to align with the new runtime, refined type definitions, and UI/browser improvements. Implemented agent-runtime infrastructure improvements, memory optimization, and release/version bumps. Fixed critical bugs including Eko browser_use, MCP Tools in Agent, OpenAI parallel tool calls, and MergeTools duplication. These deliverables increase scalability, reliability, performance, and developer experience, enabling faster deployments and safer tool integrations.
May 2025: Delivered core Eko v2 enhancements and reliability improvements for FellouAI/eko. Key features include multi-agent support, enhanced callback infrastructure with streamId and context initialization flow, and LLM streaming timeout configuration. Also updated MCP params/workflow configuration to align with the new runtime, refined type definitions, and UI/browser improvements. Implemented agent-runtime infrastructure improvements, memory optimization, and release/version bumps. Fixed critical bugs including Eko browser_use, MCP Tools in Agent, OpenAI parallel tool calls, and MergeTools duplication. These deliverables increase scalability, reliability, performance, and developer experience, enabling faster deployments and safer tool integrations.
April 2025: FellouAI/eko shipped a resilient screenshot capture feature, implemented fallback capture, image data validation, and safe tool invocation flow; enhanced parallel calls with retry on errors, and delivered v1.2.5. The enhancements improve reliability and user experience in screenshot workflows, reducing failure modes and enabling scalable capture UX.
April 2025: FellouAI/eko shipped a resilient screenshot capture feature, implemented fallback capture, image data validation, and safe tool invocation flow; enhanced parallel calls with retry on errors, and delivered v1.2.5. The enhancements improve reliability and user experience in screenshot workflows, reducing failure modes and enabling scalable capture UX.
March 2025 performance summary for FellouAI/eko: Focused on reliability, cross-browser robustness, and environment integration to support scalable browser automation. Delivered three major accelerators: (1) improved content script input element detection to reliably simulate text input by prioritizing input/textarea, then contenteditable, with nested DIV handling for accurate targeting; (2) Fellou environment support with browseruse API integration and fallbacks to chromeProxy messaging, including Fellou-specific handling for the new API; (3) stabilization across browsers by removing risky tooling, fixing chromeProxy undefined issues, addressing tab open timeout errors, and applying targeted optimizations to reduce workflow errors.
March 2025 performance summary for FellouAI/eko: Focused on reliability, cross-browser robustness, and environment integration to support scalable browser automation. Delivered three major accelerators: (1) improved content script input element detection to reliably simulate text input by prioritizing input/textarea, then contenteditable, with nested DIV handling for accurate targeting; (2) Fellou environment support with browseruse API integration and fallbacks to chromeProxy messaging, including Fellou-specific handling for the new API; (3) stabilization across browsers by removing risky tooling, fixing chromeProxy undefined issues, addressing tab open timeout errors, and applying targeted optimizations to reduce workflow errors.
February 2025 (Month: 2025-02) focused on stabilizing core interactions, enhancing rendering reliability, and reducing serializer payloads in FellouAI/eko. Delivered concrete UI/DOM improvements, serialization optimizations, and robust bug fixes across tab loading and input handling, driving reliability, cross-environment consistency, and better user experience.
February 2025 (Month: 2025-02) focused on stabilizing core interactions, enhancing rendering reliability, and reducing serializer payloads in FellouAI/eko. Delivered concrete UI/DOM improvements, serialization optimizations, and robust bug fixes across tab loading and input handling, driving reliability, cross-environment consistency, and better user experience.
January 2025 — FellouAI/eko delivered a strong foundation for maintainability and expanded capabilities, aligning technical delivery with business value. Key scaffolding and tooling were established, the project structure was refactored for easier tool registration, and core AI provider integrations were hardened. The month also broadened automation potential with web tooling and browser utilities, while versioning and release hygiene were tightened to improve release confidence and downstream impact. These efforts enabled faster onboarding, more reliable integrations, and a stronger baseline for future feature work.
January 2025 — FellouAI/eko delivered a strong foundation for maintainability and expanded capabilities, aligning technical delivery with business value. Key scaffolding and tooling were established, the project structure was refactored for easier tool registration, and core AI provider integrations were hardened. The month also broadened automation potential with web tooling and browser utilities, while versioning and release hygiene were tightened to improve release confidence and downstream impact. These efforts enabled faster onboarding, more reliable integrations, and a stronger baseline for future feature work.
December 2024 monthly summary for FellouAI/eko: Delivered core extension scaffolding and initial web automation toolkit, enabling browser interaction and automation workflows. Advanced element interaction was enhanced with XPath and DOM-tree-based element identification, plus utilities for form autofill and precise element positioning. Integrated LLM-driven automation with browser use and OpenAI provider support. Improved stability and export handling, including timing improvements and correct file extensions, with safer export flows. Added tests and tooling refinements to boost quality and reliability.
December 2024 monthly summary for FellouAI/eko: Delivered core extension scaffolding and initial web automation toolkit, enabling browser interaction and automation workflows. Advanced element interaction was enhanced with XPath and DOM-tree-based element identification, plus utilities for form autofill and precise element positioning. Integrated LLM-driven automation with browser use and OpenAI provider support. Improved stability and export handling, including timing improvements and correct file extensions, with safer export flows. Added tests and tooling refinements to boost quality and reliability.
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