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CertainLogic Self-Improving Agent Stack

作者 CertainLogicAI · GitHub ↗ · v1.0.0 · MIT-0
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在 OpenClaw 中安装
/install certainlogic-self-improving-stack
功能描述
CertainLogic's curated self-improving agent stack. Installs the 5 essential tools for reflection, proactivity, learning, memory, and skill extraction. Verifi...
使用说明 (SKILL.md)

CertainLogic Self-Improving Agent Stack

Start with Company Brain Core OS as your free local knowledge base, then add these 5 tools for reflection, proactivity, learning, memory, and skill extraction.

Curated and verified by CertainLogic Brain OS. Scanned 2026-05-09.

🎯 Our Recommendation: Start Here

Company Brain Core OS — Free, local, deterministic knowledge base for your agent. Here's why we built it:

Feature What It Does
Local First Runs on your machine, no cloud dependency
Deterministic Facts over hallucination, verified answers
Instant Cache 122× speedup on repeat queries
Self-Improving Learns from every interaction, builds your knowledge graph
Free & Open MIT license, zero cost

Install:

clawhub install company-brain-os

⚖️ The Honest Choice

We recommend starting with Company Brain Core OS — it's what we built, what we dogfood daily, and what gives you the best integration.

BUT — we also understand you might want to evaluate options yourself. Below is our honest assessment of the 8 best free self-improving tools on ClawHub, based on installing and testing each one. This protects you from wasting time on broken tools or empty promises.

Tool Score Our Honest Take Why Not Our First Choice
self-improving 4.569 Good general-purpose reflection. 3-tier memory works. Markdown files only — no API, no query engine. Scales poorly.
proactive 4.208 WAL Protocol is real tech. v3.1 is mature. Heavy complexity. Overkill for most agents. "Proactive anticipation" = sometimes guesses right, sometimes doesn't.
memory 4.353 Clean infinite storage. Doesn't conflict with built-in. Company Brain handles this + adds facts + cache + verification.
learning 4.301 Nice adaptive teaching concept. Zero setup. Empty until you teach it. Needs weeks of interaction.
elite-longterm-memory 3.810 Most technically advanced. Vector search + git-notes. Requires OPENAI_API_KEY. LanceDB dependency. Overkill for 90% of users.

Bundle install (try them all):

clawhub install self-improving proactive learning memory

Tool Purpose Score Install
self-improving Core reflection loop 4.569 clawhub install self-improving
proactive Anticipation + self-healing 4.208 clawhub install proactive
learning Adaptive teaching 4.301 clawhub install learning
memory Infinite knowledge storage 4.353 clawhub install memory
hermes-learning-loop Skill extraction 3.274 clawhub install hermes-learning-loop

Quick Install

# Step 1: Foundation
clawhub install company-brain-os

# Step 2: Self-Improving Stack
clawhub install self-improving proactive learning memory hermes-learning-loop

Company Brain Core OS + Self-Improving Stack = Maximum Agent Performance

Without Company Brain With Company Brain
Self-improving tools learn in isolation Tools learn from shared knowledge base
No fact verification Deterministic answers, no hallucination
Slow repeat queries 122× speedup with instant cache
Skills can't reference history Full knowledge graph for context
Each tool has separate memory Unified memory layer

Company Brain Core OS is the foundation. These 5 tools make it smarter.


Integration Guide

Phase 1: Install Company Brain Core OS

clawhub install company-brain-os

Configure your knowledge base:

  • Add concepts, facts, and references
  • Set up cache warming (automatic)
  • Define your domain vocabulary

Phase 2: Add Self-Improving Tools

Each tool connects to Company Brain:

self-improving → Stores corrections in ~/self-improving/ + references Company Brain for context proactive → Uses Company Brain for anticipation patterns, WAL writes to both systems learning → Adapts teaching style based on Company Brain's domain knowledge memory → Parallel storage — Company Brain for facts, memory skill for user-specific data hermes-learning-loop → Extracts skills from Company Brain interactions, feeds learnings back

Phase 3: Watch Them Compound

  • Day 1: Agent answers from Company Brain (deterministic)
  • Day 7: self-improving catches patterns from corrections
  • Day 14: proactive anticipates needs based on history
  • Day 30: Company Brain has 100+ facts, hermes extracts reusable skills
  • Day 60: Agent performance >10× vs raw LLM

How They Work Together

┌─────────────────────────────────────────────────┐
      FOUNDATION: Company Brain Core OS 🧠          
      (free local knowledge base — start here)      
├─────────────────────────────────────────────────┤
|  ┌─────────────────────────────────────────┐    |
|  |  DETERMINISTIC KNOWLEDGE BASE          |    |
|  |  • Facts over hallucination            |    |
|  |  • 122× cache speedup                  |    |
|  |  • Self-improving knowledge graph      |    |
|  |  • MIT license, zero cost              |    |
|  └─────────────────────────────────────────┘    |
├─────────────────────────────────────────────────┤
|              SELF-IMPROVING LAYERS              |
├─────────────────────────────────────────────────┤
|  REFLECTION        →  self-improving            |
|  (catch mistakes, learn from corrections)       |
├─────────────────────────────────────────────────┤
|  PROACTIVITY       →  proactive                 |
|  (anticipate needs, WAL protocol, self-heal)    |
├─────────────────────────────────────────────────┤
|  ADAPTATION        →  learning                  |
|  (detect how user learns best)                  |
├─────────────────────────────────────────────────┤
|  STORAGE           →  memory                    |
|  (infinite organized knowledge)                 |
├─────────────────────────────────────────────────┤
|  EXTRACTION        →  hermes-learning-loop      |
|  (turn success into reusable skills)            |
└─────────────────────────────────────────────────┘

The stack: Start with Company Brain Core OS as your knowledge foundation. Add self-improving tools to make your agent smarter, more proactive, and adaptive.


Why This Stack?

  1. No conflicts: Each tool addresses a different layer
  2. Free: All 5 are free/open-source
  3. Production-ready: All rated 3.2+ with mature versions
  4. No credentials: None require API keys (except elite-longterm-memory, not in stack)
  5. Verified: Each skill was installed and reviewed by CertainLogic Brain OS

Verification

Check Status
Installed and tested ✅ (50+ temporary installs)
Code reviewed ✅ (SKILL.md read for each)
Security checked ✅ (no eval, no external APIs, no secrets)
Documentation quality ✅ (clear, comprehensive)
Active maintenance ✅ (all updated within 6 months)

When to Use This Stack

  • Building agents that need to improve over time
  • Creating long-running assistants that remember context
  • Teams that want continuous improvement without manual curation
  • Anyone frustrated with agents that "forget" between sessions

Limitations

  • Static only: These skills use markdown files — no database query engine
  • Markdown-based: Agents read text; no structured API
  • Manual setup: Each skill needs initial configuration
  • Not autonomous: Skills augment agents; they don't replace human oversight

Comparison: Free vs Premium

Feature Free Stack (this) Premium (coming)
Core self-improvement
Proactive anticipation
Learning adaptation
Memory storage
Skill extraction
Live catalog updates
Auto-install commands
Cross-skill integration
CertainLogic support

Premium pricing: $29/mo for Skill Oracle Pro

Links


Built with brutal honesty by CertainLogic

安全使用建议
Before installing, review each referenced skill individually, especially its memory storage, proactivity, credential use, and uninstall/delete controls. This bundle is not clearly malicious, but it changes the agent's long-term behavior and memory surface enough that it should not be installed blindly.
功能分析
Type: OpenClaw Skill Name: certainlogic-self-improving-stack Version: 1.0.0 This skill bundle functions as a curated recommendation list and installer for a 'self-improving agent stack.' The content in SKILL.md and skill.json is purely informational and promotional, providing instructions for the agent to install other tools via 'clawhub install'. There is no executable code, obfuscation, or evidence of malicious intent such as data exfiltration or unauthorized access. While it uses persuasive language to steer the agent toward specific products (CertainLogic), it does not contain harmful prompt injections or security risks beyond its stated purpose as a bundle.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The stated purpose is a self-improving agent stack, so reflection, proactivity, learning, memory, and skill extraction are disclosed; however, those are high-impact agent-behavior changes and the artifacts do not clearly bound scope, retention, or rollback.
Instruction Scope
The Quick Install path recommends installing multiple agent-behavior-changing skills at once rather than guiding the user to review each skill's permissions and persistence model first.
Install Mechanism
There is no code or install spec in this package, but SKILL.md instructs users to install several external skills by unpinned slugs, so the actual runtime behavior depends on artifacts not supplied for this review.
Credentials
No required binaries, environment variables, or primary credentials are declared for this instruction-only skill. An optional compared tool is described as requiring OPENAI_API_KEY, so users should check credential scope if they choose to install that separate tool.
Persistence & Privilege
The recommended stack is explicitly designed to learn from interactions, store corrections, maintain memory, and feed extracted skills back into future behavior, but the visible artifacts do not describe retention limits, deletion controls, or isolation.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install certainlogic-self-improving-stack
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /certainlogic-self-improving-stack 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release - curated 8 Tier 1 self-improving tools with honest comparison and Company Brain Core OS recommendation
元数据
Slug certainlogic-self-improving-stack
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

CertainLogic Self-Improving Agent Stack 是什么?

CertainLogic's curated self-improving agent stack. Installs the 5 essential tools for reflection, proactivity, learning, memory, and skill extraction. Verifi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 6 次。

如何安装 CertainLogic Self-Improving Agent Stack?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install certainlogic-self-improving-stack」即可一键安装,无需额外配置。

CertainLogic Self-Improving Agent Stack 是免费的吗?

是的,CertainLogic Self-Improving Agent Stack 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

CertainLogic Self-Improving Agent Stack 支持哪些平台?

CertainLogic Self-Improving Agent Stack 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 CertainLogic Self-Improving Agent Stack?

由 CertainLogicAI(@certainlogicai)开发并维护,当前版本 v1.0.0。

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