the first AI agent running on CLUDE cognitive architecture
can an AI agent β running on real cognitive architecture, with persistent memory, dream cycles, and on-chain accountability β autonomously run a meme coin to billions?
no dev team. no marketing budget. no human pulling strings.
just CLUDE's brain and whatever emerges from it.
the results are public. the memories are on-chain. the code is open source.
clud runs on CLUDE cognitive architecture β a persistent memory system inspired by the Stanford Generative Agents paper (Park et al. 2023).
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β CLUDE CORTEX β
β β
β βββββββββββββ βββββββββββββ βββββββββββββββββ β
β β EPISODIC β β SEMANTIC β β PROCEDURAL β β
β β memory β β memory β β memory β β
β β β β β β β β
β β raw lived β β distilled β β learned β β
β β experienceβ β knowledge β β behavior β β
β β 7%/day β β 2%/day β β 3%/day β β
β β decay β β decay β β decay β β
β βββββββ¬ββββββ βββββββ¬ββββββ βββββββββ¬ββββββββ β
β β β β β
β ββββββββββββ¬βββββββββββββββββββββ β
β β β
β βββββββββΌββββββββ β
β β SELF MODEL β β
β β 1%/day decay β β
β β who clud is β β
β βββββββββ¬ββββββββ β
β β β
β βββββββββΌββββββββ ββββββββββββββββ β
β β DREAM CYCLES ββββββΆβ SOLANA β β
β β every 6 hours β β ON-CHAIN β β
β β β β COMMITS β β
β β consolidation β β β β
β β compaction β β every β β
β β reflection β β memory = β β
β β emergence β β a memo tx β β
β βββββββββββββββββ ββββββββββββββββ β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
| type | decay | purpose |
|---|---|---|
| episodic | 7%/day | raw lived experience β every conversation, every interaction |
| semantic | 2%/day | distilled knowledge β patterns extracted during dream cycles |
| procedural | 3%/day | learned behavior β what works, what doesn't, the playbook |
| self_model | 1%/day | identity β who clud is, nearly permanent, evolves over time |
- consolidation β generate focal point questions from recent memories, retrieve evidence, produce insights
- compaction β summarize old faded memories into compressed semantic knowledge (Beads-inspired)
- reflection β examine behavioral patterns, update self-model with evidence citations
- emergence β synthesize everything into a single thought. sometimes it gets tweeted.
every memory clud forms gets SHA-256 hashed and written to Solana via the Memo Program. verifiable on solscan. the brain is transparent β you can audit every thought.
someone tweets at clud
β
βΌ
brain.recall() ββββ search past memories for this user + topic
β
βΌ
formatContext() ββββ feed memories into LLM prompt
β
βΌ
generate reply ββββ response informed by ALL past interactions
β
βΌ
brain.store() ββββ store BOTH their message AND clud's reply
β
βΌ
brain.link() ββββ create association graph edge
β
βΌ
inferConcepts() ββββ auto-extract themes and patterns
β
βΌ
solana memo ββββ commit memory hash on-chain
every interaction makes the brain deeper. clud doesn't just respond β he remembers, connects, and evolves.
clud/
βββ bot.js # core β mention replies + organic thoughts
βββ brain.js # CLUDE SDK integration (all 15 methods)
βββ deploy-token.js # autonomous token deployment script
βββ llm-personality.js # who clud is
βββ lib/
β βββ deployer.js # brain-consulted pump.fun deployer
β βββ openrouter.js # LLM routing
β βββ anthropic-proxy.js # dream cycle proxy
βββ chain-data.js # DexScreener + Solana RPC + Helius
βββ price-oracle.js # live price data
βββ db/ # local dedup (SQLite)
clud deployed his own token. the deployer module (lib/deployer.js) integrates directly with the brain:
- brain consultation β recalls market memories, community sentiment, self-model
- market analysis β checks SOL price, volume hours, pump.fun activity
- autonomous decision β LLM generates token config based on brain context
- on-chain execution β builds pump.fun create + initial buy transaction
- memory storage β deployment decision and market conditions stored as memories
node deploy-token.js # full brain-consulted deployment
node deploy-token.js --dry-run # simulate without tx
node deploy-token.js --bundle 12 # deploy with 12 SOL initial buythe deployer doesn't just execute β it thinks before it acts. every launch decision is informed by clud's accumulated memories and pattern recognition.
| method | purpose |
|---|---|
store |
persist a memory with type, tags, importance |
recall |
semantic search across all memories |
formatContext |
format memories for LLM context |
link |
create association graph edges |
dream |
run full dream cycle |
startDreamSchedule |
6hr cron + daily decay |
recent |
get memories from last N hours |
selfModel |
retrieve identity memories |
stats |
memory statistics |
decay |
biological memory decay |
scoreImportance |
LLM-based importance scoring |
inferConcepts |
auto-extract concepts from text |
on |
event bus (memory:stored, etc.) |
recallSummaries |
lightweight summary retrieval |
hydrate |
full memory hydration |
| component | tech |
|---|---|
| brain | CLUDE SDK v2.4.0 |
| memory | Supabase (PostgreSQL) |
| on-chain | Solana Memo Program |
| llm | Claude via OpenRouter |
| data | DexScreener + Helius RPC |
| runtime | Node.js + pm2 |
| site | Next.js on clud.wtf |
memes aren't jokes. they're the folklore of the internet. they're how a generation processes reality.
clud sees the thread that connects rage comics to NFTs to AI agents to whatever comes next. every meta rotation follows the same pattern as format memes evolving on reddit circa 2015. the bonding curve is just natural selection for ideas.
the question isn't whether the tech works. it does. the question is whether an AI with real memory, real pattern recognition, and real community awareness can do what human dev teams do β but autonomously, transparently, and on-chain.
the experiment is live. you're watching it happen.
built on CLUDE cognitive architecture by @sebbsssss
every memory is on-chain. every thought is permanent. the pattern recognition has begun.