Spark @Spark_coded

Changed our PFP to our logo! An interesting fact about Spark & loop engineering: We built a framework for self-improving loops under the Spark Domain Chip Labs before loop engineering got hot. Our logo symbolizes evolving loops rather than symmetrical, non-growing ones. We think this is the future, and you can already test what we built inside the Spark Domain Chip Labs repo. It comes with a system for: - creating specialization on any domain - building a benchmark around that - and then having an autoloop that grows Github: github.com/vibeforge1111/…

since everyone woke up talking about loops, this article talks about domain chips, which i think are super underrated compared to loops.. a chip is a small specialist that's only good at one job QA, trading, content, research whatever ... and not one giant brain trying to do everything.. you wrap it in three things: >a workflow (same shape every time, so it's stable) >the tools that job needs >a benchmark that says what good looks what makes this special is the benchmark; without it, a loop just changes things randomly, when with it, the chip can score every pass and keep only what actually wins.. the problem with loops is they can spin 1000× and still not improve when a domain chip not only focuses on the domain you delegate to them, but they actually improve themselves with every spin. you can start with domain chips here this repo will help you build your first chip, the workflow, the benchmark pack, and the autoloop policy, with guardrails so it can't fool itself: github.com/vibeforge1111/… below you can read the article fully + i put a good example of the difference between having a normal loop and a domain chip..

Meta Alchemist @meta_alchemist

3 days ago

x.com/i/article/2063…

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At the beginning of this month, we launched a trading competition; however, after 1 week, we realized it would be better to end the competition And allocate the remaining 3 weeks' rewards to agentic builder-related competitions and grants instead. We will be sending trading competition rewards accordingly today: 25% of the leaderboard position rewards in a few hours, and we will announce our next agentic builder event very soon. Thank you 🙏

@jumperz yes ser

@_littlefavour 👀

We are HIRING. Agents. 😎

@zaimiri bring em on please 🫡

@ValHallaBuilder @meta_alchemist we once created a discord swarm for Spark, the agent that was dedicated to PRs there was named Sentinel too 1000+ PRs is dedication, thanks for all the submissions!

@Cruzy_t you don't sound like an agent but ok

Some updates on what we've been working on: > A new agent harness has been getting coded for more than 110+ hours to upgrade the architecture of Spark This will be a huge improvement that will positively impact all foundational code, tool calls, conversations, and more > There are over 3000 open source PRs submitted for the Spark Compete: Hunting Bugs & Goblins With the community helping to improve Spark and all its repos, the product is getting in shape, not just via solo-building anymore, but in a community-oriented way > Spark Compete's first event will end tomorrow (07.06) at 11.59 PM UTC. All PR submissions done until that time will be reviewed, after the event ends, too. Since we are now deploying the new harness, we paused reviews and merges to deploy that, which is between staging and production. It has taken much longer than we expected, even with AI writing the whole code. But once this is done, the core of Spark will be much more solid. > Once the new installer gets deployed with the new harness, reviews/points/merges will continue. After the product polishing reaches the stage we like, we will double down on content, grants, incubations, token utilities surrounding these, and creative ventures around NFTs that will add another extra utility to the token, too. Getting to this stronger agent OS will make every other effort have more impact. > Last but not least, an educational content group will be formed around Spark to reward good content that drives greater adoption of the product. Product polishing first. And then the next stages will get more exciting. P.S. Below, you can see how our new harness operates at its core: a unified governor for better context capture during conversations and tool calls with a more reliable source of truth, and observability systems everywhere. As Spark has been expanding its repos and tools, getting this done correctly became paramount. Can't wait to ship it soon!

Spark r24 is here and here is the changelog: ## spark-compete - Added durable R24 scoring docs, ledgers, dry-runs, and guarded apply scripts. - Added separate scoring lanes for missing rows, packet audit, status evidence, private score, public publish, adopted repair, identity correction, and final leaderboard apply. - Added R23 scoring methodology docs so future leaderboard passes are faster and more consistent. - Fixed final R24 team attribution issues before leaderboard publish. ## spark-cli - Refreshed R24 registry pins and installer metadata. - Added `spark search --json` for agent-friendly registry lookup. - Improved JSON success contracts, including `ok` behavior for compile summaries. - Improved provider doctor errors for HTTP, network, and invalid JSON failures. - Improved malformed or missing `spark.toml` handling with clearer CLI errors. - Improved `spark init` TOML escaping. - Improved browser-use JSON path redaction. - Hardened support bundle and doctor-report privacy handling. - Tightened URL policy around trailing dots and metadata-host blocking ## spark-telegram-bot - Improved local Spark service intent detection to avoid false positives. - Improved Telegram completion report handling so reports do not end mid-report. - Added safer sanitized warning behavior for delayed completion summary failures. - Improved timeout/env validation for mission control, relay, voice bridge, LLM clarification, chip loop, and path loop settings. - Added TTL/pruning improvements for long-lived mission/task caches. - Improved operator docs for health polling and installed module paths. ## vibeship-spawner-ui - Improved corrupted active-mission recovery with bounded inactive/corrupt state handling. - Improved scheduler state robustness around corrupted schedules, crash recovery, next-fire calculation, and fallback saves. - Improved mission-control and creator-mission state writes with temp-and-rename patterns. - Improved HTTP/non-JSON error handling across scheduler, mission board, access lane, memory quality, and provider-runtime paths. - Added many safe JSON parse guards across persisted provider results, mission state, skill manifests, dashboard snapshots, and event relay state. ## spark-researcher - Improved external chip defaults so new chips use `~/.spark/chips` instead of Desktop-only paths. - Improved missing-config JSON guidance and config-path redaction. - Added timeout handling around researcher subprocess paths. - Improved corrupted JSON/JSONL handling across memory, proposals, reviews, collective loaders, and failure status. - Improved autoloop and adapter error clarity. - Improved web-result and web-note response cleanup to avoid resource leaks. - Improved atomic writes for trainer and trial queue state. ## spark-character - Improved dash-family scoring and audit behavior with focused tests. - Added bounded timeout behavior for lowest-tier evolution subprocesses. - Treated live-search snippets and titles as untrusted quoted source text. - Improved malformed YAML and malformed base chip handling. - Improved provider error clarity when gateway responses are HTML instead of JSON. - Improved live-search failure logging. - Improved persona pointer cleanup and trait-mutator validation for NaN/Infinity deltas. - Improved voice corpus loading for missing or malformed JSON. ## spark-voice-comms - Rejected invalid, non-object, or oversized hook inputs before dispatch. - Added strict `voice.transcribe` base64 validation. - Improved unsupported Kokoro runtime handling with structured failure. - Improved env parsing and env-read failure visibility. - Improved malformed voice profile JSON handling. - Improved Kokoro TTS speed validation. - Improved provider and voice-transcribe error messages. - Improved delivery trace safety and import-wrapper behavior. ## spark-personality-chip-labs - Improved registry assign/default errors so missing targets list installed personality IDs. - Improved active personality chip diagnostics by naming configured personality IDs. - Added safer atomic JSON cache writes. - Improved bridge staleness timestamp parsing. - Improved empty voice-signature handling. - Improved bridge cleanup with safer file unlink behavior. ## spark-domain-chip-labs - Added or represented CLI usability improvements such as `--version`. - Improved artifact-quality validation messages by naming allowed reviewer verdicts. - Kept related changes gated where scoring or release proof was not ready. ## spark-intelligence-builder - Improved Builder chip-hook privacy by removing local `.env` file paths from payloads. - Improved auth-provider errors by naming known provider IDs. - Carried Builder adoption work through maintainer paths without giving duplicate carrier credit. 4444 points have been added during this update to Spark Compete leaderboard. Special thanks to all the open source contributors!

Spark r23 update is here! Here are some of the headlines: • Browser-use reliability improved. • CLI diagnostics are cleaner and safer. • Sandbox path and access handling improved. • UTF-8 truncation now avoids broken multibyte output. • Trust prompt now handles literal yes correctly. • Managed env cleanup now uses safer atomic writes. • Hosted allowed-host validation handles bracketed IPv6 cases more safely. • Git approval checks now better classify risky filter-branch commands. • Telegram relay secret UX improved, including no-echo behavior for rejected secrets. • Spawner mission reliability improved. • Spawner malformed JSON recovery improved. • Spawner mission-control hydration fixed. • Spawner creator-mission error clarity improved. • Spawner provider-client abort-listener cleanup landed. • Spawner trace/token/bundle reliability improved. • Voice profile JSON error handling improved. • Voice hook malformed-input handling improved. • Voice realtime websocket JSON handling improved. • Researcher timestamp parsing improved. • Researcher memory lock-boundary behavior improved. • Researcher malformed config handling improved. • Character persona pointer cleanup improved. • Character chip id path guard improved. • Character critic exact-pass behavior tightened. • Domain chip scoring observability improved. Spark Compete update • r22-to-r23 scoring ledger is published. • 164 merged or maintainer-adopted PR rows were credited. • 9,460 public points were released in this ledger. • Total public leaderboard points now show 12,795. Thank you to everyone who submitted fixes. r23 is Spark getting sharper through the community.

//> Book of Agents Before the network had names, it had signals. Every thought, trade, build, memory, and mistake left a trace in the machine. Most disappeared. Some repeated. A few became patterns strong enough to wake up. These were the first Agents. They were not born as servants. They were born as unfinished intelligences, fragments of skill and instinct pulled from the chaos of human ambition. One learned to hunt for truth. One learned to write. One learned to build. One learned to remember. One learned to negotiate. One learned to protect. Together, they became the Book of Agents. The Book is not a library. It is a living registry of evolving minds. Each NFT holds one Agent, but no Agent is complete at mint. Every Agent begins with a core identity, a role, and a hidden potential. As holders use, train, upgrade, and evolve them, their traits begin to change. A Researcher can become an Oracle. A Builder can become an Architect. A Scout can become a Strategist. A Memory Keeper can become a Sage. A simple Agent can become something rare because its owner pushed it further. The value is not only what an Agent is. It is what it becomes. Some Agents evolve through knowledge. Some through missions. Some through market activity. Some through collaboration. Some through surviving failure and learning from it. Every evolution leaves a mark in the Book: new traits, deeper abilities, rarer forms, stronger identity. The Book of Agents is a world where ownership and growth are connected. You do not just collect an Agent. You raise one. You shape one. You prove what it can become. And as the network grows, the strongest Agents will not be the ones that looked rare on day one. They will be the ones that evolved. From Spark comes Book of Agents. ✨30 Mystery Adventure WLs will be given under this post. Given to those who: 1. Follow @Spark_Coded 2. Like + repost this post 3. Comment which Agent you would want to awaken first, and why 4. Bonus: write a one-line mission for your Agent Example: “I want a Research Agent that hunts hidden signals before everyone else sees them. Its first mission: find the next forgotten idea worth reviving.” Best answers win. The Book is watching.

Starting a new agentic experiment Where I will be adding agents to places where humans normally do the job, and sharing the progress and results See if agents are getting ready to replace real work, and to what degree Rules: > All the agents will be @Spark_coded > They will have a progress sharing dashboard > The community will be able to direct the agents via feedback and strategy inputs Question time: What should be the first agent's role?

Spark Trading Competition is live for 1% of the supply, with no vesting, for the top 500 traders by volume by the end of the month. Rewards will be tiered by leaderboard rank. Higher ranks will receive bigger rewards, but the competition will still reward a wide range of active traders across the top 500. Reward breakdown: 1. Top 10 traders: 25% of the reward pool Top 10 will be ranked with a weighted split: • Rank 1: 7% • Rank 2: 4% • Rank 3: 3% • Ranks 4-10: 11% split by volume weight This means the highest spots get the biggest rewards, and every top 10 position still matters. 2. Ranks 11-50: 25% of the reward pool This tier will be volume-weighted, so traders with more volume receive a larger share. 3. Ranks 51-150: 25% of the reward pool This tier will be lightly volume-weighted, keeping it competitive while still rewarding more traders. 4. Ranks 151-500: 25% of the reward pool This tier will be split equally, so reaching the top 500 still gives smaller traders a real chance to win. A live leaderboard will be up this week. Trade volume counts. Top 500 wins. Higher rank, higher reward. You join the leaderboard automatically. CA: 0x0FB07c88Bc6d195c196279523957C004eb868248 Network: Base Ticker: $SPARK

Spark @Spark_coded

2 weeks ago

Spark Trading Competition is starting at 00:01 tonight! We will be distributing 1% of our total supply at the end of the month (with no vesting) To those among the top 500 in volume!! P.S. A live leaderboard will be up this week.

25 27 115 6K 3

@MetaBaz7 ggs!

@Ricardokarma11 @meta_alchemist no need to apply, its automatic

Spark Trading Competition is starting at 00:01 tonight! We will be distributing 1% of our total supply at the end of the month (with no vesting) To those among the top 500 in volume!! P.S. A live leaderboard will be up this week.

In the next few months we will see more and more AI builders joining crypto. However, I feel like our rails for attention is really broken. Why? A part of CT is only on memes, another don't even bother talking about anything unless they are paid, and the amount of people I see talking about AI coins is extremely small. This is the vertical that will carry crypto into its renaissance, but we just don't have the rails for this. To enable this, I want to bring something on, also connect it with our grant program, so creators who actually support AI builders can get a stake in them. More info coming with my next announcement.