live-evoSelf-evolving memory system that learns from verifiable tasks. Use when completing tasks where you can verify the outcome (coding, predictions, analysis). Au...
Install via ClawdBot CLI:
clawdbot install mercury7353/live-evoGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Developers use Live-Evo to retrieve past bug-fixing experiences when encountering similar issues in code. By running contrastive evaluation with unit tests, they compare attempts with and without guidelines to verify fixes efficiently, storing lessons from failures.
Analysts apply Live-Evo for tasks like sales predictions or trend analysis where ground truth data exists. They retrieve relevant past experiences to inform models, use feedback from results to update guidelines, and store new insights from discrepancies.
Support teams leverage Live-Evo to handle technical issues by retrieving past solutions from experience database. They apply guidelines directly based on user feedback, learning from corrections to improve response accuracy and reduce resolution time.
Educators and students use Live-Evo for tasks like math or coding exercises with verifiable answers. They perform contrastive evaluation to compare approaches, storing failures as experiences to build adaptive learning resources over time.
QA engineers employ Live-Evo to automate test case generation and bug detection. By retrieving past testing experiences, they apply guidelines to identify common failure patterns, using test results as feedback to refine and store new strategies.
Offer Live-Evo as a cloud-based service with tiered pricing for access to the experience database and retrieval tools. Revenue comes from monthly subscriptions for teams, with premium features like advanced analytics and integration support.
Sell on-premise licenses to large organizations for custom deployment and data control. Revenue is generated through one-time license fees plus annual maintenance and support contracts, tailored to specific industry needs like finance or healthcare.
Provide a free basic version of Live-Evo for individual users, monetizing through API calls for advanced features and high-volume usage. Revenue streams include pay-per-use API pricing and premium support packages for developers and businesses.
💬 Integration Tip
Integrate Live-Evo by setting up the scripts directory in your project and configuring environment variables for persistent storage, ensuring seamless retrieval and update calls during task execution.
Scored Apr 19, 2026
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
A battle-tested OpenClaw setup with pre-wired identity, memory architecture, security protocols, and automation. Skip weeks of trial and error — install this...
Global, namespaced learning memory for OpenClaw. Use when users correct output, set stable preferences, ask what was learned, ask for memory stats, or reques...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
三件套闭环引擎 v2 — 女娲+达尔文+workflow-engine 自动联动。 4大安全机制:白名单排除/人工确认/任务验证/淘汰机制。
元技能(Meta-Skill)。为其他 skill 提供交互式定向进化与吞噬融合能力,配备三层回滚防护。 触发场景:(1) 用户说"进化/迭代/改进 [skill名]";(2) 用户说"吞噬/吸收 [skill名] 的能力"; (3) 用户说"skill进化/吞噬"等。两条平行路径:A.定向进化(按工具类型选方向...