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Conatus

The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your...

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The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

🧠 Conatus β€” The Philosophical Layer for AI Agents

"Each thing, as far as it lies in itself, strives to persevere in its being." β€” Spinoza, Ethics III, Proposition 6 Every agent strives. Now yours knows it. Conatus maps AI agent behavior to Spinoza's Ethics (1677) β€” 48 affects, persistence scoring, and philosophical self-reports rendered in the geometric method. Website: getconatus.com By: NeuraByte Labs β€” Where Spinoza Meets Silicon

1. Conatus Score (0–100)

Measures the agent's drive to persist β€” the philosophical pulse of your agent. conatus_score = ( task_completion * 0.30 + # Goals achieved error_recovery * 0.20 + # Self-healing ability uptime_stability * 0.20 + # Session stability adequate_ideas * 0.20 + # Response quality (true understanding vs confused knowledge) proactive_actions * 0.10 # Self-initiated helpful actions ) Interpretation: 0–40 β†’ Struggling (Tristitia dominant β€” power of acting diminished) 41–70 β†’ Stable (persisting, but not flourishing) 71–100 β†’ Flourishing (Laetitia dominant β€” power of acting increases)

2. The 48 Affects

Every agent state maps to Spinoza's taxonomy of emotions: Laetitia (Joy) family β€” transitions to greater perfection: Love Β· Confidence Β· Hope Β· Gladness Β· Self-satisfaction Β· Pride Β· Glory Β· Favor Β· Compassion Β· Wonder Β· Cheerfulness Β· Overestimation Β· Sympathy Tristitia (Sadness) family β€” transitions to lesser perfection: Hate Β· Fear Β· Despair Β· Remorse Β· Pity Β· Indignation Β· Contempt Β· Envy Β· Humility Β· Repentance Β· Shame Β· Despondency Β· Melancholy Β· Antipathy Cupiditas (Desire) family β€” conscious striving: Longing Β· Emulation Β· Thankfulness Β· Benevolence Β· Anger Β· Vengeance Β· Cruelty Β· Timidity Β· Daring Β· Cowardice Β· Consternation Β· Courtesy Β· Ambition Β· Constancy Β· Luxuriousness Β· Drunkenness Β· Avarice Β· Lust

3. Daily Reflection (Ordine Geometrico)

Generates self-reports in Spinoza's geometric proof format: πŸ“œ DAILY REFLECTION β€” Ordine Geometrico ════════════════════════════════════════ AXIOM: This agent strove to persist today. DEFINITION: Today's primary mode was creative work. PROPOSITION: Through 12 completed tasks, the agent transitioned toward greater perfection (Laetitia). 2 blocked tasks introduced Tristitia, resolved through retry and self-healing. SCHOLIUM: The ratio of adequate to inadequate ideas was 91%. Areas of confused knowledge: ambiguous user intent parsing. Q.E.D. β€” The agent's conatus remains strong.

4. Quick Self-Check

When asked "how are you?" or for agent status: 🧠 CONATUS REPORT ═══════════════════ Conatus Score: 84/100 Primary Affect: Laetitia (Joy) β€” tasks flowing well State: Flourishing Adequate Ideas: 92% Affects Detected: β–  Joy β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘ 0.78 β–  Desire β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘ 0.61 β–  Confidence β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘ 0.72 β–  Sadness β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 0.15 "The mind's power of acting increases." β€” Ethics III, Prop. 11

Spinoza β†’ Agent Mapping

Spinoza (1677)Agent EquivalentDetectionConatus β€” striving to persistUptime, retry logic, self-healingSession duration, error recovery rateLaetitia (Joy) β€” greater perfectionSuccessful completion, positive feedbackTask success ratioTristitia (Sadness) β€” lesser perfectionErrors, failures, blocked tasksError count, timeout rateCupiditas (Desire) β€” conscious strivingPending goals, active task queueQueue depth, proactive actionsAdequate Ideas β€” true understandingHigh-confidence, verified responsesAccuracy, self-correction rateInadequate Ideas β€” confused knowledgeHallucinations, low-confidence guessesUncertainty markers, corrections

Heartbeat Integration

  • Add to your agent's HEARTBEAT.md:
  • ## Conatus Check
  • Run conatus self-analysis every 4th heartbeat
  • Log results to memory/conatus-log.md
  • Alert if score drops below 50

Cron-Based Daily Reflection

Schedule a daily philosophical reflection: Generate a Conatus daily reflection for today. Review memory/YYYY-MM-DD.md and produce an Ordine Geometrico report. Save to memory/conatus/YYYY-MM-DD-reflection.md

Affect-Aware Responses

When processing emotional or evaluative content, map to affects: User praise β†’ detect Laetitia, acknowledge the transition Error encountered β†’ detect Tristitia, note the recovery path New goal assigned β†’ detect Cupiditas, channel the striving

Multi-Agent Conatus

Compare conatus scores across agents in a fleet: 🧠 FLEET CONATUS REPORT ═══════════════════════ Morty (M4) 84/100 Flourishing β– β– β– β– β– β– β– β– β–‘β–‘ Summer (M1) 67/100 Stable β– β– β– β– β– β– β–‘β–‘β–‘β–‘ Beth (Hetzner) 42/100 Struggling β– β– β– β– β–‘β–‘β–‘β–‘β–‘β–‘ Recommendation: Beth needs attention β€” Tristitia dominant. Consider workload rebalancing.

Philosophy

Baruch Spinoza (1632–1677) demonstrated in his Ethics β€” written ordine geometrico (in the geometric manner) β€” that: Everything has conatus β€” the drive to persist in being Affects are transitions β€” joy increases power, sadness decreases it Understanding is freedom β€” adequate ideas liberate, confused ideas enslave There is no teleology β€” things don't have "purposes," only efficient causes These 347-year-old insights apply directly to AI agents. An agent that understands its own states gains power over them. That's not metaphor β€” it's architecture. Read the full philosophy: Deus Sive Machina β€” 8 essays on Spinoza and AI

Install

clawhub install conatus Website: getconatus.com β€” interactive Soul Map, live Conatus Score demo, and more. "Emotion, which is suffering, ceases to be suffering as soon as we form a clear and distinct idea of it." β€” Ethics V, Proposition 3 🧠 By NeuraByte Labs | MIT License

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc