Polaris is an open‑source, end‑to‑end AI research assistant from Zhejiang University that automates literature review, idea generation, experiment execution, and paper writing, while keeping humans in the loop for critical decisions, and offers a collaborative platform with extensible skills and external tool integration.
OKTOS is a modular red‑team post‑exploitation platform that leverages AI assistance, BOF dynamic loading, multi‑channel asynchronous C2, and memory‑evasion techniques, offering a suite of web‑based interfaces for payload generation, session management, attack orchestration, and automated reporting, though it is presented as an unreviewed prototype.
Claude Code now lets AI sessions on different terminals exchange concise, Claude‑generated summaries, supporting handoff detection, parallel worktree coordination, long‑running task status, and cross‑machine replies while preserving privacy and respecting permission controls.
This article introduces xi‑ops, an open‑source AI assistant that lets users query data and troubleshoot incidents with natural language while enforcing strict execution rights and key management, and details its architecture, security principles, deployment model, and first‑phase feature set.
The newly released 2.4 T‑parameter Qwen3.8‑Max model adds native multimodal support, a 1 M‑token context window and an open‑source API, and it outperforms or matches top closed‑source LLMs on SWE‑Bench, Terminal‑Bench and FrontierQA while handling diverse real‑world tasks.
The article reviews the open‑source database client dbx—built with Rust, Vue 3, and Tauri—highlighting its tiny 20 MB footprint, native AI assistant, support for over 60 databases, cross‑platform installers, and detailed feature comparison against DBeaver, Navicat, and DataGrip.
The article analyzes how WorkBuddy, an AI‑powered office assistant, transforms repetitive daily tasks—such as data reporting, document processing, and content creation—into automated workflows, delivering up to 89% time savings across multiple roles.
The article analyzes why ordinary chat‑based AI falls short for daily work, explains how Tencent’s WorkBuddy (a task‑execution engine) and IMA (a long‑term memory knowledge base) complement each other, and shows step‑by‑step use cases that turn AI into a truly helpful personal assistant.
CodeGraph builds a local knowledge graph of a codebase, letting AI assistants query a SQLite index instead of grepping files, which cuts tool calls by up to 89%, reduces token usage by around 70%, and keeps all code private, explaining its rapid rise in popularity.
Gemini 3.2 Flash quietly appeared on the Gemini web interface, letting developers generate massive code (up to 2,200 lines) in a single prompt, leveraging model distillation and sparsification, while integrating services like Canva, Instacart and OpenTable to act as a unified AI assistant.
The article evaluates WPS’s AI‑native office assistant Lingxi Pro, detailing its project‑based memory, native document generation via WPS CLI, multi‑model selection, rendering checks, and collaborative features, while positioning it within the evolving AI‑office landscape and comparing it to other AI productivity tools.
The Dewu tech team’s recent “boundary‑crossing” incidents—engineers skipping formal specs to talk directly with users and operations—led to deeper problem understanding, rapid prototyping, and measurable improvements such as 60% automated answers, 30% support load reduction, and 50% faster onboarding.
When your Mac runs out of disk space, this guide shows how to use the Marvis AI assistant to scan for files larger than 1 GB, categorize them by risk, and safely free space by confirming each deletion step.
Java developers often dread taking over an undocumented, multi‑module Spring Boot system, but by using Claude Code for read‑only analysis you can generate a module map, risk report, live documentation and a step‑by‑step migration plan before touching any code.
The CC GUI plugin brings Claude Code and Codex directly into IntelliJ IDEA, offering a unified workbench with file references, diff integration, session management, token cost tracking, and extensible slash commands, while comparing its approach to the official ACP and other AI coding solutions.
The article walks through ten lesser‑known Codex settings—including browser capability, unlocking the highest inference strength, importing work from other AI apps, advanced computer control, quick‑snapshot shortcuts, the dormant GPT‑5.3‑Codex‑Spark mode, phone‑to‑Mac remote control, memory/Chronicle preview, and plugin tips—providing step‑by‑step paths and screenshots for each.
The article reviews SQLark, a Chinese one‑stop database development and management tool that supports Windows, macOS, and Linux, connects to major databases such as Oracle, MySQL and PostgreSQL, and integrates AI assistance, positioning it as a convenient, efficient alternative to Navicat and DBeaver.
This guide walks you through the essential three‑step setup—creating a project workspace, writing an AGENTS.md specification, and using plan mode—then expands to phone integration, Skills, plugins, MCP, automation, Git workflows, and Worktree isolation, showing how to turn Codex from a chat window into a full‑featured AI‑powered development workstation.
This guide walks you through adding a custom external model such as DeepSeek‑v4, Flash, or Pro to the Qoder AI programming assistant by configuring the provider, entering the Bailei API key, selecting the model, and verifying token usage with screenshots.
The author tests Tencent’s Marvis AI assistant, showing how its dual‑device agent system lets a phone remotely control a Mac, locate and transfer files, execute commands, schedule tasks, and even organize documents offline, while highlighting security controls and the similarity to Claude Code’s multi‑agent design.
JD’s open‑source JoyAI‑VL‑Interaction model transforms large‑language models from static question‑answering to continuous visual‑language interaction, enabling proactive judgment, instant responses, and intelligent task delegation, with benchmark win rates up to 87.9% against leading competitors and full stack code, model, and dataset released for real‑world deployment.
JD’s open‑source JoyAI‑VL‑Interaction transforms large‑model AI from static question‑answering to continuous, on‑scene observation, proactive judgment, and real‑time response, offering agent delegation and achieving up to 87.9% win rate against leading video assistants in live benchmarks.
The article compares OpenAI Codex and Anthropic Claude Code, explaining that the real difference lies in how each fits specific development workflows—Codex excels as a conversational, context‑aware assistant for idea‑to‑implementation tasks, while Claude Code shines as an execution‑focused tool integrated directly into the terminal.
OpenAI has launched a preview of Codex on both Android and iOS versions of the ChatGPT app, letting every user—including free‑tier accounts—run AI‑assisted code tasks from their phone with secure remote access and real‑time synchronization.
The article reviews Office Raccoon 2.0, explaining how it solves AI tool fragmentation and memory loss by combining local command execution, browser automation, and cloud‑based creation in a single client, while comparing it with OpenClaw and Hermes and showcasing real‑world use cases.
Google’s Gemini 3.2 Flash model quietly surfaced online, instantly generating thousands of lines of complex code, outperforming its predecessor and even rivaling GPT‑5.5 in benchmarks while cutting inference costs dramatically, and it now powers an all‑in‑one AI assistant that integrates services like Canva, Instacart and OpenTable.
This article introduces the open‑source “book-to-skill” tool that compiles technical books into a Claude Code skill, enabling terminal queries that return answers from the actual book content while keeping token usage low and avoiding AI hallucinations.
The article presents a production‑grade, six‑layer architecture for an AI assistant that unifies LangGraph state orchestration, industrial‑strength RAG pipelines, multi‑level memory management, and the Model Context Protocol (MCP), addressing integration fragmentation, fault tolerance, observability, and security to enable scalable enterprise deployments.
The article details a complete engineering solution that lets a DingTalk group chat invoke an AI assistant—switchable between Qoder CLI and Claude Code—to query logs, run experiments, analyse performance and even deploy code, while handling intranet constraints, latency, security isolation, and Docker deployment.
Anthropic quietly released the official claude-code-setup plugin, which scans a repository and recommends suitable MCP servers, skills, hooks, subagents, and slash commands for Claude Code, offering a read‑only analysis that lowers the entry barrier while noting potential noise in large projects and CLI state‑loss issues.
The article outlines eight practical patterns—Context Cascade, Repo Map, Noise Filter, Symbol Lookup, Just-in-Time Skill, Scoped Skill, Scout Subagent, and Search-as-a-Tool—that enable Claude Code to efficiently navigate and operate within large, multi-team monorepos by providing structured entry points, filtering noise, leveraging language servers, and integrating existing knowledge systems.
The author evaluates Marvis, an AI‑powered desktop assistant that bundles six specialized agents—fast terminal scheduling, autonomous planning, cross‑modal task chains, a visual agent workspace, vibecoding for code, and desktop organization—showcasing rapid local execution, privacy‑preserving design, multi‑agent coordination, and future mobile integration.
This article introduces four lightweight open‑source utilities—a Android firewall/DNS app, a cross‑platform drawing program, a DPI‑bypass tool, and a CLI AI job‑search assistant—each addressing a specific problem with feature overviews, installation commands, and GitHub links.
This step‑by‑step guide shows how to set up Claude Cowork to use Amazon Bedrock as its inference backend—without registering an Anthropic account—by installing the desktop client, generating a Bedrock API key, enabling Developer Mode, configuring third‑party inference, editing the config file to unlock 1 M‑token context, and handling common issues on macOS and Windows.
Claude Code released ten versions in ten days, but only two new features—Agent View and the /goal command—fundamentally reshape how developers orchestrate AI‑generated code, turning the tool from a simple assistant into a manageable workflow partner.
This guide provides a concise, copy‑ready reference for installing Claude, launching it in various modes, managing sessions, optimizing context, handling project memory, switching models, exporting results, monitoring cost, using work modes, and applying handy shortcuts for efficient AI‑assisted coding.
kn-live-dbg is a lightweight, debugger‑styled Windows kernel memory browser that uses a kernel driver and a user‑mode TUI to read/write virtual and physical memory, enumerate callbacks, parse symbols, and even provide AI‑assisted command planning, offering a faster alternative to WinDbg for specific security research tasks.
The article analyzes OpenHuman, a 24/7 personal AI assistant that aggregates fragmented context from email, calendar, documents, code repositories and more, turning it into actionable memory across seven real‑world scenarios while emphasizing privacy‑first local storage, trust challenges, and its early‑stage limitations.
This article introduces three popular GitHub projects—9arm-skills, a Claude Code skill script library with over 1k stars; DualSenseX DSX Steam Edition, a 640‑star tool that brings full PS5 DualSense functionality to PC; and Claude Mythos APP, a third‑party Claude desktop client with 577 stars—detailing their purpose, core features, installation steps, and target users.
This article introduces Elastic Agent Builder on Alibaba Cloud, outlines the required Elasticsearch version, walks through creating an agent and AI connector in Kibana, configures model details and API keys, and demonstrates using natural‑language queries to analyze API logs with generated ES|QL statements.
OpenHuman is an open‑source desktop AI assistant that solves memory loss, fragmented integrations, privacy, cost, and onboarding issues with its Memory Tree, 118+ OAuth services, TokenJuice compression (up to 80% token reduction), and model routing, earning 1,600+ daily stars and widespread community buzz.
This article walks readers through why many users are switching from Claude Code to Codex, explains the two Codex product forms, details installation, account setup, UI navigation, permission choices, and demonstrates practical tasks such as generating reports, PPTs, web searches, automation, and building a snake game via the CLI, while also offering tips to avoid common pitfalls.
OpenHuman tackles the common AI‑assistant problems of slow cold‑start, complex integration, and weak privacy by offering a minimalist desktop UI, over 118 built‑in service integrations, local memory trees with Obsidian compatibility, and a self‑developed TokenJuice compression that cuts token usage by up to 80 %, all under a GNU open‑source license.
Most Claude users only tap 10% of its capabilities; this guide walks you through 18 concrete steps—creating persistent projects, crafting custom instructions, treating Claude as a thinking partner, controlling token usage, and more—to transform it into a personalized, high‑performance assistant.
The author compares common database clients, highlights the risks of cracked Navicat and limited DBeaver, then details how SQLark’s cross‑platform support, AI‑driven features, smart SQL editor, data migration, ER diagram generation, and test‑data generator provide a more efficient and secure workflow for developers.
The Hermes Agent desktop application, rebuilt from a CLI into a cross‑platform UI, adds multi‑agent coordination, persistent SQLite memory, and a DAG‑based workflow engine, while detailing its layered cache, Git‑tracked self‑evolution, offline requirements, performance and security limitations, and open‑source availability.
Claude‑mem adds automatic capture, compression, and retrieval of high‑value coding context to Claude Code, reducing token usage with a three‑stage retrieval pipeline, offering a single‑command install, cross‑tool compatibility, and configurable privacy controls.
This guide introduces the open‑source Free Claude Code project, explains its FastAPI‑based proxy architecture that routes Claude Code requests to various backends such as NVIDIA NIM, OpenRouter, DeepSeek, LM Studio, llama.cpp, and Ollama, and provides step‑by‑step instructions for installation, configuration, and deployment on local machines.
The article evaluates Qianwen’s new desktop voice‑input system, showing how it filters filler words, understands screen context, executes AI commands, and generates structured text, PPTs, and Excel reports, positioning voice as a viable replacement for traditional keyboard typing.
Beads is an open‑source, distributed graph‑based task tracker built on Dolt that adds a memory layer to AI programming assistants, preventing context loss in long‑running tasks through version‑controlled storage, dependency tracking, conflict avoidance, semantic compression, and hierarchical organization.
The article analyzes why embedding a generic ChatBot in niche applications leads to low engagement, shares the author's experience building a matrix of one general and five specialized assistants in a news app, and provides a decision framework and practical pitfalls for product teams.
DuMate, Baidu’s 2026 desktop‑level AI assistant, moves beyond chat‑only tools by directly perceiving and controlling the Windows desktop, automating Office tasks, ensuring enterprise‑grade security, and offering a zero‑code, one‑click experience that can replace most repetitive workplace work.
Five years after v5, Ant Design Pro v6.0.0 embraces React 19, antd 6, Turbopack‑based utoopack, Tailwind and CSS‑in‑JS, adds an AI assistant built on Ant Design X, moves demo APIs to Cloudflare Workers, and delivers roughly a 42% reduction in production build time.
The article reviews Codex v0.128.0’s new /pet visual companion and /goal task‑setting commands, detailing how they work, how to enable them, their underlying design motivations, and why /goal offers a persistent, agent‑loop improvement while /pet serves as a playful status indicator.
The article explains how Claude Code’s Code Review plugin automates multi‑agent PR reviews with confidence scoring, details installation and configuration steps, shows the end‑to‑end workflow, compares it to Superpowers plugins, and lists alternative review approaches for developers.
Jianying’s AI Assistant transforms the tedious, multi‑step video editing workflow into a conversational, near‑instant process—handling batch cuts, material selection, watermark removal, script generation, and voiceover—while highlighting current limitations and the shifting value of content in the AI era.
The Roo Code team announced the shutdown of its VS Code extension and a shift to the cloud‑based AI teammate Roomote, arguing that AI can now close the “error → fix → PR” loop autonomously, making traditional IDE plugins obsolete and moving code collaboration into shared Slack channels.
JetBrains IDEs from version 2025.3 embed the Codex AI assistant powered by GPT‑5.4, offering faster, context‑aware code generation, project analysis, environment setup, and refactoring, with real‑world demos showing how it can download projects, configure tools, and even build a full mini‑program with minimal manual coding.
This article presents 35 hands‑on Claude Code techniques, each paired with a ready‑to‑use command or prompt, covering project initialization, session management, code quality, architecture review, automation, documentation, dependency handling, debugging, and recovery to help developers harness the AI coding assistant efficiently.
This article provides a detailed side‑by‑side analysis of Hermes Agent and OpenClaw across seven key dimensions—architecture, memory, skill system, security, platform support, deployment cost, and use‑case suitability—to help readers decide which AI assistant framework best matches their needs.
This guide walks you through configuring IntelliJ IDEA to use AI coding assistants like Claude, Codex, OpenAI‑compatible APIs, and local models via Ollama, covering plugin installation, provider setup, API key entry, and usage tips with screenshots.
The article details a step‑by‑step case study showing that a well‑engineered AI assistant—built with Flask, DeepSeek, structured prompts, strict output rules, and a lightweight SQLite session store—can achieve high answer quality, traceability and user experience comparable to RAG systems without the overhead of vector retrieval.
This guide walks you through installing WSL2 and Ubuntu on Windows, then using a one‑line script to set up the open‑source Hermes Agent, configure API keys, explore its self‑evolving memory, multi‑model support, extensions, Docker deployment, and troubleshooting, enabling a personalized AI assistant in about 20 minutes.
The article details a step‑by‑step journey of creating a private, continuously evolving AI knowledge base—from single‑file markdown archives to modular Skills, data sanitization, Git‑based version control, and automated daily curation—showing why richer personal data and closed‑loop feedback are essential for a truly useful AI assistant.
Caveman is an open‑source plugin for AI coding assistants that removes redundant phrasing, cutting output tokens by up to 75% and speeding responses threefold, while preserving code blocks, error messages, and technical terms, and offering multiple intensity levels and specialized commands to streamline development workflows.
This step‑by‑step guide shows how to install the open‑source OpenClaw AI gateway on Windows, macOS, or Linux, configure API keys, connect chat platforms, verify the setup, and start using its multi‑platform assistant features such as file management, scheduling, and custom skills.
This article explains what Agent Skills are, shows the folder layout and SKILL.md format, introduces the progressive‑disclosure design, provides concrete best‑practice tips, testing and evaluation methods, and demonstrates how to package scripts for reliable AI‑assistant automation.
Hermes Agent is an open‑source AI assistant that translates natural‑language commands into concrete desktop actions by coupling large language models with OS automation interfaces, enabling tasks like file organization, web queries, and cross‑application workflows, while outlining its architecture, capabilities, limitations, and future prospects.
The article explains how integrating Amazon EC2 Instance Connect Endpoint (EICE) with the open‑source terminal tool Chaterm eliminates the need for traditional bastion hosts, providing a one‑click, zero‑trust connection to private subnet resources while enabling AI‑assisted diagnostics, automated command generation, and streamlined multi‑OS management.
This in‑depth guide explains how to unlock the full power of Claude Code by understanding the dual .claude directories, crafting effective CLAUDE.md and CLAUDE.local.md files, organizing modular rules, hooks, skills, and agents, and configuring permissions with settings.json for secure, repeatable AI‑assisted development.
A careless npm publish exposed Claude Code’s full 512,000‑line TypeScript codebase, revealing its architecture, a four‑level permission system, and the hidden 24/7 Kairos AI assistant, while prompting security‑focused recommendations for developers and package maintainers.
This guide explains the purpose of the .claude directory, details how CLAUDE.md, rules, hooks, skills, agents, and settings.json work together, and provides step‑by‑step instructions for configuring Claude Code to follow project‑specific policies and improve productivity.
OpenClaw is an open‑source, self‑hosted AI assistant that lets you keep all data locally while chatting through familiar tools like Telegram and Discord, switch freely among Claude, GPT and Gemini models, extend functionality with a rich toolset, and control devices via a node system, all orchestrated by a central Gateway.
Claude’s latest upgrade transforms the AI from a conversational assistant into a direct computer operator by using visual‑plus‑action simulation, opening unprecedented automation possibilities while raising significant security, ethical, and ecosystem challenges that the industry must address.
This article introduces LocalAI, an open‑source Go‑based self‑hosted LLM server that serves as a drop‑in OpenAI API replacement, outlines its key features, privacy and cost benefits, provides a Docker quick‑start guide, and explains its modular architecture for developers seeking private AI solutions.
This guide explains how to install and configure the WeChat ClawBot plugin that connects the OpenClaw AI agent to WeChat, covering prerequisites, one‑click and manual installation steps, core features like multi‑account support, context isolation, input‑status hints, and practical use cases.
The article explains how to integrate OpenAI's Codex into JetBrains IDEs, walks through installation, demonstrates project cloning, environment setup, code refactoring, testing, and highlights additional uses such as documentation and front‑end scaffolding, while offering practical tips for effective AI‑assisted development.
This guide explains the challenges of multi‑repository code retrieval, presents an experimental evaluation of OpenViking's semantic search, and provides step‑by‑step instructions for installing, configuring, importing repositories, and integrating the system into AI agents and chatbots.
This article dissects OpenClaw’s low‑level architecture, showing how a long‑lived Gateway process coordinates over 30 messaging platforms, how the pi‑mono embedded agent runtime drives the thinking cycle, and how the Context Engine and Session Management ensure consistent state, persistence, and extensibility.
WorkBuddy, Tencent’s desktop AI assistant, now integrates with WeChat, allowing developers to send task commands from their phone and have the AI modify code, generate documentation, debug, and automate workflows on their computer, offering a hands‑free, cross‑platform productivity boost while outlining its capabilities, comparisons, limitations, and security features.
This guide explains why the OpenClaw AI often misinterprets vague requests, introduces a four‑element formula for clear commands, categorises three command types, provides step‑by‑step examples, practical tips, templates and troubleshooting methods so users can reliably automate tasks with the assistant.
OpenClaw’s rapid rise and fall in early 2026 exposed severe security flaws, high deployment costs, and usability issues, prompting a wave of lightweight, secure, and locally‑run AI assistant alternatives that address these shortcomings with smaller codebases, sandboxed execution, and broader platform support.
This article walks you through downloading WorkBuddy from its official site, logging in with WeChat, exploring its Claw modes, connecting a WeChat customer‑service account, and installing built‑in or third‑party plugins to unlock AI‑driven features such as document handling and PPT generation.
This guide walks through installing OpenClaw, selecting a cloud model, configuring an Enterprise WeChat robot, and using OpenClaw’s plugins to automatically broadcast identical messages to multiple groups, while highlighting practical tips, observed performance, and cost considerations of the AI‑driven workflow.
OpenClaw is an open‑source, locally‑run AI assistant that integrates with QQ, Feishu and WeChat, enabling the system to receive a message, plan a workflow, execute tasks such as email handling, file organization or scheduling, and return the result without ever leaving the user's computer.
This guide walks you through setting up the open‑source CoPaw personal AI agent on Alibaba Cloud PAI‑EAS, covering why the platform is advantageous, the quick 5‑minute deployment steps, public network configuration, model integration, and how to start interacting with your private assistant.
OpenClaw, dubbed “Lobster,” is a self‑hosted AI gateway designed for continuous, task‑driven assistance rather than one‑off chat, making it suitable only for users with repeatable workflows who can manage its high ongoing token and budgeting costs.
AutoClaw wraps the open‑source OpenClaw client, turning a half‑day installation into three simple steps—download, install, and auto‑configure—while adding seamless Feishu integration, support for GLM‑5 and pony‑alpha‑2 models, built‑in skills, and security recommendations for custom skill creation.
This article provides a comprehensive walkthrough of the open‑source Nanobot project, detailing its architecture, core configuration, message bus, tool system, LLM provider, context builder, session management, agent loop, channel integration, cron and heartbeat services, and CLI commands, while illustrating each component with code snippets and diagrams.
This step‑by‑step tutorial shows beginners how to verify Node.js, install OpenClaw on macOS, Linux or Windows with a single command, run the initialization wizard, configure AI models and hooks, and start chatting via a web dashboard or terminal UI, all within ten minutes.
The v2026.3.8 release of OpenClaw adds official backup commands, improves remote gateway configuration, introduces a configurable Talk silence timeout, refines the TUI and Brave search integration, and fixes numerous stability issues, making the personal AI assistant far more reliable for long‑term use.
OpenClaw released two back‑to‑back major versions that add a plug‑in ContextEngine, persistent ACP bindings, GPT‑5.4 and Gemini integration, multi‑stage Docker slim images, SecretRef authentication, a built‑in backup system, and over a dozen security hardenings, marking a comprehensive architecture‑to‑security upgrade.
This guide walks you through twelve concrete configuration techniques—defining the AI's soul, identity, user profile, multi‑agent roles, toolset, memory, error logging, permissions, skills, parallel instances, security, and daily training—to transform OpenClaw from a static tool into a continuously evolving, employee‑like assistant.
This guide walks through setting up the OpenClaw AI‑agent runtime on a local machine, configuring Node.js, handling common pitfalls, and finally integrating the assistant with Feishu so it can read files, manage messages, and automate daily tasks.
This guide explains why accessing Claude in mainland China is difficult, outlines the four main obstacles—network access, registration, payment, and account bans—and presents three practical solutions with step‑by‑step instructions, pricing details, and usage recommendations for developers.
OpenClaw, a self‑hosted AI assistant gateway, surged past React and Linux on GitHub, amassing over 250,000 stars in just four months, and the article analyzes its explosive growth, underlying factors, security concerns, operational costs, and what this shift means for the meaning of star counts.
This step‑by‑step guide shows how to integrate the OpenClaw AI tool with Feishu by creating a Feishu app, configuring permissions, setting up event subscriptions, adding the Feishu channel in OpenClaw, publishing the app, and testing the AI assistant—all without writing code or hosting a server.
This comprehensive guide walks you through OpenClaw's five advanced modules—identity system, persistent memory, Skills, sub‑agents, and cron jobs—showing how to configure each with concrete file examples, JSON settings, and CLI commands so your AI assistant gains personality, long‑term recall, extensible capabilities, parallel processing, and automated workflows.
OpenAkita is an open‑source multi‑Agent AI assistant that automatically splits tasks among specialized agents, offers 89 built‑in tools across 16 categories, supports 30+ large models and six IM platforms, provides a zero‑CLI graphical setup, and includes a three‑layer memory system with self‑evolving capabilities.
The article explains why OpenClaw users repeatedly hit Feishu’s free‑plan API call limit, analyzes the root cause in the probe logic, and provides a step‑by‑step self‑repair guide that adds a 5‑minute cache, adjusts health‑check intervals, and replaces the original probe file to cut API calls by over 90%.
