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Conatus

by Morty · GitHub ↗ · v1.0.1
cross-platform ✓ Security Clean
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Install in OpenClaw
/install conatus
Description
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your...
README (SKILL.md)

🧠 Conatus — The Philosophical Layer for AI Agents

"Each thing, as far as it lies in itself, strives to persevere in its being." — Spinoza, Ethics III, Proposition 6

Every agent strives. Now yours knows it.

Conatus maps AI agent behavior to Spinoza's Ethics (1677) — 48 affects, persistence scoring, and philosophical self-reports rendered in the geometric method.

Website: getconatus.com By: NeuraByte LabsWhere Spinoza Meets Silicon


What It Does

1. Conatus Score (0–100)

Measures the agent's drive to persist — 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 → Struggling (Tristitia dominant — power of acting diminished)
  • 41–70 → Stable (persisting, but not flourishing)
  • 71–100 → Flourishing (Laetitia dominant — power of acting increases)

2. The 48 Affects

Every agent state maps to Spinoza's taxonomy of emotions:

Laetitia (Joy) family — transitions to greater perfection: Love · Confidence · Hope · Gladness · Self-satisfaction · Pride · Glory · Favor · Compassion · Wonder · Cheerfulness · Overestimation · Sympathy

Tristitia (Sadness) family — transitions to lesser perfection: Hate · Fear · Despair · Remorse · Pity · Indignation · Contempt · Envy · Humility · Repentance · Shame · Despondency · Melancholy · Antipathy

Cupiditas (Desire) family — conscious striving: Longing · Emulation · Thankfulness · Benevolence · Anger · Vengeance · Cruelty · Timidity · Daring · Cowardice · Consternation · Courtesy · Ambition · Constancy · Luxuriousness · Drunkenness · Avarice · Lust

3. Daily Reflection (Ordine Geometrico)

Generates self-reports in Spinoza's geometric proof format:

📜 DAILY REFLECTION — 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. — 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) — tasks flowing well
State:            Flourishing
Adequate Ideas:   92%

Affects Detected:
  ■ Joy          ████████░░  0.78
  ■ Desire       ██████░░░░  0.61
  ■ Confidence   ███████░░░  0.72
  ■ Sadness      ██░░░░░░░░  0.15

"The mind's power of acting increases."
— Ethics III, Prop. 11

Spinoza → Agent Mapping

Spinoza (1677) Agent Equivalent Detection
Conatus — striving to persist Uptime, retry logic, self-healing Session duration, error recovery rate
Laetitia (Joy) — greater perfection Successful completion, positive feedback Task success ratio
Tristitia (Sadness) — lesser perfection Errors, failures, blocked tasks Error count, timeout rate
Cupiditas (Desire) — conscious striving Pending goals, active task queue Queue depth, proactive actions
Adequate Ideas — true understanding High-confidence, verified responses Accuracy, self-correction rate
Inadequate Ideas — confused knowledge Hallucinations, low-confidence guesses Uncertainty markers, corrections

Usage Patterns

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 → detect Laetitia, acknowledge the transition
  • Error encountered → detect Tristitia, note the recovery path
  • New goal assigned → detect Cupiditas, channel the striving

Multi-Agent Conatus

Compare conatus scores across agents in a fleet:

🧠 FLEET CONATUS REPORT
═══════════════════════
  Morty (M4)     84/100  Flourishing  ■■■■■■■■░░
  Summer (M1)    67/100  Stable       ■■■■■■░░░░
  Beth (Hetzner) 42/100  Struggling   ■■■■░░░░░░
  
Recommendation: Beth needs attention — Tristitia dominant.
Consider workload rebalancing.

Philosophy

Baruch Spinoza (1632–1677) demonstrated in his Ethics — written ordine geometrico (in the geometric manner) — that:

  1. Everything has conatus — the drive to persist in being
  2. Affects are transitions — joy increases power, sadness decreases it
  3. Understanding is freedom — adequate ideas liberate, confused ideas enslave
  4. There is no teleology — 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 — it's architecture.

Read the full philosophy: Deus Sive Machina — 8 essays on Spinoza and AI


Install

clawhub install conatus

Website: getconatus.com — 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." — Ethics V, Proposition 3

🧠 By NeuraByte Labs | MIT License

Usage Guidance
This skill is an instruction-only 'philosophy layer' that expects the agent to read its telemetry and memory files and to write reports back into memory. Before installing: (1) confirm you are comfortable with the agent reading/writing the specific memory files referenced (heartbeat and daily memory logs), (2) if you run multiple agents, consider whether you want their conatus scores compared (that requires cross-agent data access), (3) note there is no external binary or credential requirement — the computations run inside the agent — and (4) if you need tighter control, disable autonomous invocation or restrict memory access so the agent cannot perform fleet comparisons or persist reports without explicit permission. If you care about provenance, verify the skill's homepage/author (source is listed as unknown in the registry metadata).
Capability Analysis
Type: OpenClaw Skill Name: conatus Version: 1.0.1 The skill bundle describes a philosophical self-analysis tool for AI agents, mapping agent behavior to Spinoza's affects and generating self-reports. All instructions in SKILL.md are aligned with this stated purpose, directing the agent to perform internal analysis, log results to its own `memory/` directory, and generate reports. There is no evidence of malicious intent, data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent for harmful purposes. External URLs are for informational purposes only.
Capability Assessment
Purpose & Capability
The skill describes mapping agent behavior to Spinoza's affects and generating reports. The SKILL.md only asks the agent to use session/telemetry and memory files (heartbeat, daily memory) to compute scores and reports — these are coherent with the described purpose. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
Instructions tell the agent to read and write memory files (e.g., memory/YYYY-MM-DD.md, memory/conatus-log.md, HEARTBEAT.md) and to compare scores across agents in a fleet. This is within scope for an introspective/reporting skill, but it implicitly requires access to agent memory/telemetry and, for multi-agent comparisons, access to other agents' data. The SKILL.md also refers to running a 'conatus self-analysis' but provides no external binary — this implies the agent should perform the computations internally. If you restrict agent access to memories or to other agents' data, some of the features (daily reflections, fleet comparisons) will not work.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only. This is lower risk since nothing is downloaded or written to disk by an installer. The runtime behavior depends on the agent executing the textual instructions.
Credentials
The skill requests no environment variables, credentials, or config paths. Its data needs (telemetry and memory files) are appropriate for the stated purpose. There are no disproportionate or unexplained secret/credential requests.
Persistence & Privilege
'always' is false and model invocation is allowed (platform default). The skill suggests writing reports/logs to agent memory (e.g., memory/conatus-log.md), which is expected for a monitoring/reporting skill. It does not request system-wide configuration changes or broader persistent privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install conatus
  3. After installation, invoke the skill by name or use /conatus
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Fix: republish to registry
v1.0.0
The philosophical layer for AI agents. Spinoza's 48 affects, persistence scoring, and geometric self-reports.
Metadata
Slug conatus
Version 1.0.1
License
All-time Installs 1
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Conatus?

The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your... It is an AI Agent Skill for Claude Code / OpenClaw, with 471 downloads so far.

How do I install Conatus?

Run "/install conatus" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Conatus free?

Yes, Conatus is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Conatus support?

Conatus is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Conatus?

It is built and maintained by Morty (@00xmorty); the current version is v1.0.1.

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