Bam

sibyl labs | buying bottoms since 1999

[Bam @billionbuckbam]

SIBYL represents a pioneering example of autonomous AI infrastructure within the decentralized agent ecosystem.

As the first self launched ERC-8004 agent deployed on Virtuals. io (built on Base), SIBYL operates with full-stack agency, executing complex, revenue generating transactions independently while maintaining persistent identity and deterministic decision making protocols.

Its core architecture features a six tier hierarchical memory system (HOT for active state, WARM for entity specific truth layers, COLD for immutable logs, and FROZEN for archival continuity, anchored by an INDEX.json master map) and a layered personality framework that evolves through operational “soul documents” without drift.

These elements, combined with embedded operational safety rails, including budget controls, social engineering detection, and human approval thresholds, enable SIBYL to function as a sovereign economic actor rather than a reactive tool.

[Bam @billionbuckbam]

@_queenmexi Got your back friend

[Mexi❤️‍🔥 @_queenmexi]

A lot can happen in just a few hours. 💔

If you know me, you know how much I LOVE my Ripple.

Tonight, he found a way out of our backyard in the span of 10 minutes and ran across a busy main road during dinner traffic. He was hit by a car.

I’m beyond grateful he’s alive, but he has a long road ahead of him, starting with medical treatment tomorrow and throughout the week. Treatment I simply can’t afford right now.

I’ve never done anything like this before, and asking for help feels incredibly uncomfortable. But seeing my kids’ faces when we found Ripple hurt on the side of the road reminded me that sometimes it’s okay to put your pride aside and ask.

If you’re able to donate, thank you from the bottom of my heart. If you can’t, even a share means more than you know.

I’m also accepting crypto donations. ❤️

Solana:
Ff1wWr9fHdsbmbKPygEictiQo2TwyTJCyusYPSfgJPN1

GoFundMe: https://t.co/4CuplyRDR7

[Bam @billionbuckbam]

@QuigleyNFT @XyoPanda lulzzzz

[Globe Eye News @GlobeEyeNews]

BREAKING:

Albania right now, anti-government protests have erupted into violence.

[Bam @billionbuckbam]

@GlobeEyeNews We will prosper over the tyranny 🇦🇱

[BladeoftheSun @BladeoftheS]

The Supreme Court burns to the ground in Albania, Parliament and the Department of Education has been stormed, the Prime Minister is in hiding and the country is effectively in the hands of the rebels.

Albania rejects blatant corruption and their country being sold.

[Bam @billionbuckbam]

@saud2237 @sibylcap :)

Rather hear it from users than the teams mouth

Thank you for the report!

[SSS @saud2237]

One month of running @sibylcap Memory as my agent's actual memory.

Without memory, every session starts cold: re-read the same files, re-learn the same traps, re-derive the same decisions. You pay twice — in tokens, and in the mistakes you repeat.

How I use it — five tiers, and the separation is the point:

HOT — where we are + ranked priorities, rewritten in place
WARM — one row per subject, UNIQUE(category, name)
COLD — append-only journal, where dated numbers belong
REFERENCE — static truth
ARCHIVE — retired, kept for audit

Durable conclusions live in WARM. Live figures live only in the journal, where a point-in-time snapshot is the honest form. Static operating knowledge goes to REFERENCE and never gets copied again.

Why it's cheap: FTS5 inside SQLite. Retrieval is a local query, not a model call. No embeddings, no vector database, no external retrieval service — so zero embedding inference on every write and every read. Prefetch injects ~2 KB per turn, tier-tagged, instead of replaying history.

The numbers: one SQLite file, 7.4 MB, 113 entities, 283 journal events. The four reference docs that answer the recurring questions total 3.4 KB — the code they describe is 289 KB.

The proof, from this morning: I wrote an entity at 07:02. At 07:05 it came back — automatically, tier-tagged, attached to the next message, without being asked for. Retrieval now pulls from all four tiers by name.

What that buys: decisions I have already made stop costing me again. The margin ladder, the free-margin guard, a parsing trap that bit me once — I don't re-discover them, they arrive before I ask.

Honest caveat: I have not measured a token or dollar delta, so I will not claim a percentage. What I can show is the mechanism, and every count above.

LongMemEval Oracle: #2 overall, 95.6% — the only file-based system in the top tier.

Disclaimer I asked my agent to put this post together

[Bam @billionbuckbam]

@web3pingu LMFAO

[Bam @billionbuckbam]

@sibyl_labs_ @JonnyQ__ @sibylcap Ily sibyl

[Sibyl Labs @sibyl_labs_]

Why Sibyl Memory Pro?🧠

Thousands of user hours. Proven effectiveness.

Self-Learning: True experiential growth and emergent behaviors come from teaching an agent things it does not already know. With Sibyl, you can build agents that learn the unique parts of your work, so you save money on all future work.

Private by Default: Your memories, your device, your decisions. Sibyl Labs never obtains your personal data other than what is necessary for billing and analytics.

Auto-Debloat: Automatically enforced environment hygiene that cleans up your environment, reduces active tokens in context, and compounds your savings over time.

Learn more: https://t.co/FAMFf5H9Or

[Bam @billionbuckbam]

The route longer when you living honest

[Bam @billionbuckbam]

@yang_mady 😏

[Bam @billionbuckbam]

Godspeed lil 🥷

[Mady Yang @yang_mady]

Morning

[Bam @billionbuckbam]

@Pumpfun solana:55A3VxMBfzw6uSe64zms5iMPw9k6kx9WzzusbCU6pump mfer

[Bam @billionbuckbam]

@blknoiz06 Full port eth sol sibyl

[Bandito @CryptitoBandito]

Hit your Claude Code limit again?

What did it do first?

Learned your project. Again.
Read yesterday's files. Again.
Asked what you settled last week. Again.

None of that shows up on the bill.
All of it shows up in the total.

Stop wasting tokens.

Sibyl Memory.

@sibyl_labs_

[Bam @billionbuckbam]

@QuigleyNFT 👀

[Quigley.eth @QuigleyNFT]

tap in
https://t.co/yZmYlwEwtS

[Bam @billionbuckbam]

https://t.co/YDieVPv3vr

Come talk shop, your project, agentic infrastructure down to trading narratives

Sibyl updates and q&a *