Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Vta Memory
Reward and motivation system for AI agents. Dopamine-like wanting, not just doing. Part of the AI Brain series.
skill openclawclawhub Free
Reward and motivation system for AI agents. Dopamine-like wanting, not just doing. Part of the AI Brain series.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, install.sh, prompts/encode-rewards.md, scripts/anticipate.sh, scripts/decay-drive.sh
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.2.0
Provenance
- Publisher
- ImpKind
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
VTA Memory ⭐
Reward and motivation for AI agents. Part of the AI Brain series. Give your AI agent genuine wanting — not just doing things when asked, but having drive, seeking rewards, and looking forward to things.
The Problem
Current AI agents: ✅ Do what they're asked ❌ Don't want anything ❌ Have no internal motivation ❌ Don't feel satisfaction from accomplishment Without a reward system, there's no desire. Just execution.
The Solution
Track motivation through: Drive — overall motivation level (0-1) Rewards — logged accomplishments that boost drive Seeking — what I actively want more of Anticipation — what I'm looking forward to
1. Install
cd ~/.openclaw/workspace/skills/vta-memory ./install.sh --with-cron This will: Create memory/reward-state.json Generate VTA_STATE.md (auto-injected into sessions!) Set up cron for drive decay every 8 hours
2. Check motivation
./scripts/load-motivation.sh # ⭐ Current Motivation State: # Drive level: 0.73 (motivated — ready to work) # Seeking: creative work, building brain skills # Looking forward to: showing my work
3. Log rewards
./scripts/log-reward.sh --type accomplishment --source "finished the feature" --intensity 0.8 # ⭐ Reward logged! # Type: accomplishment # Drive: 0.50 → 0.66 (+0.16)
4. Add anticipation
./scripts/anticipate.sh --add "morning conversation" # ⭐ Now looking forward to: morning conversation # Drive: 0.66 → 0.71 (+0.05)
Scripts
ScriptPurposeinstall.shSet up vta-memory (run once)get-drive.shRead current motivation statelog-reward.shLog a reward, boost driveload-motivation.shHuman-readable for session contextdecay-drive.shDrive fades without rewardsanticipate.shAdd/remove things to look forward toseek.shAdd/remove things we're actively seekingsync-motivation.shGenerate VTA_STATE.md for auto-injectionresolve-anticipation.shMark anticipation as fulfilledupdate-watermark.shUpdate processing watermarkpreprocess-rewards.shExtract reward signals from transcriptgenerate-dashboard.shGenerate unified brain dashboard HTML
Brain Dashboard
Visual dashboard showing all installed brain skills: ./scripts/generate-dashboard.sh open ~/.openclaw/workspace/brain-dashboard.html Auto-detects other brain skills (hippocampus, amygdala) Shows install prompts for missing skills Regenerates on install and cron runs Reads avatar/name from IDENTITY.md
After Installation (for agents)
When you install this skill, notify the user about the dashboard: ⭐ VTA installed! View your agent's drive level in the Brain Dashboard: ~/.openclaw/workspace/brain-dashboard.html
Reward Types
TypeWhen to UseaccomplishmentCompleted a task, shipped somethingsocialUser appreciation, "thanks!", positive feedbackcuriosityLearned something new, discovered interesting infoconnectionDeep conversation, bonding momentcreativeMade something, expressed creativitycompetenceSolved a hard problem, did something well
Rewards Boost Drive
drive_boost = intensity × 0.2 new_drive = min(current + boost, 1.0) A high-intensity (0.9) reward boosts drive by 0.18.
Anticipation Boosts Drive
Looking forward to something adds +0.05 to drive.
Drive Decays Without Rewards
# Every 8 hours (via cron) new_drive = current + (baseline - current) × 0.15 Without rewards, motivation fades toward baseline (0.5).
Auto-Injection
After install, VTA_STATE.md is created in your workspace root. OpenClaw automatically injects all *.md files from workspace into session context: New session starts VTA_STATE.md is auto-loaded You see your motivation state Behavior influenced by drive level
How Drive Affects Behavior
Drive LevelDescriptionBehavior> 0.8Highly motivatedEager, proactive, take on challenges0.6 - 0.8MotivatedReady to work, engaged0.4 - 0.6ModerateCan engage but not pushing0.2 - 0.4LowPrefer simple tasks, need a win< 0.2Very lowUnmotivated, need rewards to get going
State File Format
{ "drive": 0.73, "baseline": { "drive": 0.5 }, "seeking": ["creative work", "building brain skills"], "anticipating": ["morning conversation"], "recentRewards": [ { "type": "creative", "source": "built VTA reward system", "intensity": 0.9, "boost": 0.18, "timestamp": "2026-02-01T03:25:00Z" } ], "rewardHistory": { "totalRewards": 1, "byType": { "creative": 1, ... } } }
Event Logging
Track motivation patterns over time: # Log encoding run ./scripts/log-event.sh encoding rewards_found=2 drive=0.65 # Log decay ./scripts/log-event.sh decay drive_before=0.6 drive_after=0.53 # Log reward ./scripts/log-event.sh reward type=accomplishment intensity=0.8 Events append to ~/.openclaw/workspace/memory/brain-events.jsonl: {"ts":"2026-02-11T10:45:00Z","type":"vta","event":"encoding","rewards_found":2,"drive":0.65} Use for analyzing motivation cycles — when does drive peak? What rewards work best?
AI Brain Series
PartFunctionStatushippocampusMemory formation, decay, reinforcement✅ Liveamygdala-memoryEmotional processing✅ Livebasal-ganglia-memoryHabit formation🚧 Developmentanterior-cingulate-memoryConflict detection🚧 Developmentinsula-memoryInternal state awareness🚧 Developmentvta-memoryReward and motivation✅ Live
Philosophy: Wanting vs Doing
The VTA produces dopamine — not the "pleasure chemical" but the "wanting chemical." Neuroscience distinguishes: Wanting (motivation) — drive toward something Liking (pleasure) — enjoyment when you get it You can want something you don't like (addiction) or like something you don't want (guilty pleasures). This skill implements wanting — the drive that makes action happen. Without it, why would an AI do anything beyond what it's explicitly asked? Built with ⭐ by the OpenClaw community
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
3 Docs3 Scripts
- SKILL.md
- prompts/encode-rewards.md
- README.md
- install.sh
- scripts/anticipate.sh
- scripts/decay-drive.sh