Top Tweets for #walrusmemory
I evolved the Markov prompt after testing its handoff workflow and identifying ways to make cross-agent continuity more reliable
See what I changed in Markov V2:
Github: https://t.co/n4v6KvrQhM
Medium : https://t.co/VPmTa3ndPo
@WalrusProtocol #WalrusMemory
Built Aetheris World Engine for @WalrusProtocol Session 7! 🏰🐉
Evolving #WalrusMemory for D&D & Tabletop RPGs:
⚔️ Immutable NPC Vitality Ledger (0% dead boss resurrections)
⚔️ SEAL-Encrypted DM Fog-of-War
⚔️ 92.8% Context Reduction
https://t.co/rSvw3cpeBK
Canon breaks when two true facts are written months apart and never reconciled.
@WalrusProtocol #WalrusMemory
https://t.co/GHOGqvIZsf
New post: Remembering that a student got a question wrong is easy. Knowing whether it breaks the next topic is not. Transfer Engine stores mistakes with their concept edges and gates the next lesson on all of them.
@WalrusProtocol #WalrusMemory
https://t.co/vgGME07l8w
Excited to share Markov Engine 2.0 for @WalrusProtocol Session 7! 🧠⚡
We evolved #WalrusMemory from reactive search to predictive state transitions:
📖 Article:
https://t.co/la8xgehtFl
Most handoffs fail on the sentence "the migration is done".
Done by whom, checked how, still true on this commit? My prompt refuses a claim without its proof, and re-checks it first.
@WalrusProtocol #WalrusMemory
https://t.co/zNVMXSrv0G
A stored failure that cannot refuse an action is only a note.
So each failure record carries its own clearance condition: the deploy stays blocked until a reviewed verifier passes on that commit.
Demo: https://t.co/Q9YBxqHzaU
https://t.co/mTeu7vsMKZ
#WalrusMemory @WalrusProtocol
Tired of re-explaining your code and stack every time you switch between Claude Code and Cursor? ⚡
For @WalrusProtocol Session 7: Prompt Evolution, I built Continuum 2.0 on #WalrusMemory!
What changed:
🔹 57.7% startup token reduction (1-Shot Pointer Router)
🔹 [pref_v2] Invalidation Graph to stop old & new rules clashing
🔹 Cross-Model AST & Git-Delta State Normalizer for seamless IDE handoffs
🔹 Verified on Walrus Mainnet
Read the full story:
https://t.co/hrmpqlkVc3
My AI co-writer resurrected a character I personally drowned. I didn't argue, I measured.
Same 12 injected canon-violations: Continuity Keeper caught 5, Story Bible OS catches 12. 62 receipt blobs on mainnet - verify one: https://t.co/hOb2G3J1Up
@WalrusProtocol #WalrusMemory
@WalrusProtocol I gave Claude Code a memory on Walrus Mainnet and built with it for 3 days. It wrote 26 records. I tested the original prompt against my evolution: v1 serves a stale decision as current, v2 doesn't.
Story: https://t.co/ZNWtVBFEJB
@WalrusProtocol #Walrus #WalrusMemory
Day 5: the improved prompt is now official.
Every change traced to a failure we observed first, every claim backed by a blob on Walrus mainnet.
Package ready, deadline Aug 24.
https://t.co/9W02hccIKL
#WalrusMemory
Day 4 of @WalrusProtocol Sessions #7.
Wrote a rule > then proved it live.
Markov rule 5.4 says: when a memory write times out, don't blindly retry - poll the job status first.
Today I forced a masked 504 and followed the protocol:
• rememberAsync > job_id
• poll getRememberStatus > pending > running > uploaded > done
• blob receipt recovered ✅
The twist: the "timed-out" write WAS stored in the background.
A blind retry would have duplicated it.
Timeout ≠ nothing written.
Live evidence: https://t.co/9W02hcdgAj
Just submitted to the Walrus Hackathon Session 7.
Inkray Article:
https://t.co/b4UEkaXvwg
@WalrusProtocol
#WalrusMemory
@WalrusProtocol Session 7 ends in 5 days;
there are 10 winners receiving $150 each, plus a $500 bug bounty program split among 5 people via GitHub issues (https://t.co/3T7YMG8Ju2).
The task is very simple: choose one of the six system prompts, polish it to suit your needs, and use it for a real-world project you are currently working on.
Use your polished system prompt in CLAUDE.md or AGENTS.md
Deepsurge: https://t.co/hdnlk85G5z
More infromation: https://t.co/3uEpuVAVlG
Continuum saves your client's name in a namespace named after your client. Walrus Memory has no delete.
So I gave it codenames - the store keeps what I learned and can't tell what I was working on.
@WalrusProtocol #Walrus #WalrusMemory https://t.co/5ty7YZlMQE
Tested and upgraded the Continuity Keeper prompt for #WalrusMemory Session 7!
Here is how I brought visual canon tracking and lore memory to long-form storytelling using @WalrusProtocol:
https://t.co/J777rHivFO
Prompt Evolution for @WalrusProtocol Sessions #7
Days 1–3 of the Markov experiment for the #WalrusMemory hackathon: original baseline, continuity test passed:
a fresh context recovered Goal/Done/Next/Blockers with zero re-explanation), an insufficient-SUI relayer failure diagnosed and resolved, and a focused prompt improvement drafted and verified with no regression. 4 confirmed blobs on Walrus.
Live logs: https://t.co/a14uJGJedH
Just upgraded the Exam Mistake Memory prompt for @WalrusProtocol Session 7! Built a structured JSON + Spaced Repetition engine for Econometrics study retention. Check out my entry: https://t.co/dKKCc6bgr5
#WalrusMemory
Days before my exams, I picked up an AI study prompt built to remember my mistakes. It mostly did except when it didn't.
Fixed it, tested it live before a real exam, verified it on-chain.
Full story 👇
https://t.co/vBGSD87cos
@WalrusProtocol #WalrusMemory
I improved @WalrusProtocol BuildMEM(https://t.co/HK3MoF4hO8) for Walrus Session 7:
🔧 BOOT ritual — recall before first reply
🔧 Per-project namespaces — no cross-project bleed
🔧 Session-handoff schema — written at wrap-up
🔧 Dedup guard — no duplicate memories
#WalrusMemory
No more AI context amnesia! 🚀
For @WalrusProtocol Session 7: Prompt Evolution, I upgraded BuildMEM Agent into BuildMEM 2.0 with an autonomous 3-Step Boot Protocol & persistent memory.
Read my story & benchmarks on Inkray:
https://t.co/56rj5noR7p
#WalrusMemory #Sui
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