Carlos

shows wallet that launched was funded by a 20m+ wallet 10m in @PayPal lore runs deep $BARRON ON #USD1 8CzvPEDHQEnzNpZYhjKHJno5cSgb3TU4EYJtyWTSbonk $MAGA $SPSC

The Meteora pool has been locked for 1 week (this is because we need to have flexibility and to move this liquidity elsewhere incase we need it) Reminder: the main liquidity pool is at the website memecoingenerator.lol and that's where you should be trading at all times.

OpenFang v0.4.9 is out! here's everything since v0.4.3: - 100+ community PRs reviewed and merged - Azure OpenAI provider with deployment-based URLs and api-key header - Parakeet MLX local speech-to-text - WeCom (WeChat Work) channel adapter with AES-256-CBC encryption - DingTalk Stream mode adapter - Feishu/Lark unified adapter with region toggle - LaTeX rendering in chat via KaTeX - Progressive Web App support, manifest.json + service worker - Shell/Bash skill runtime - Codex GPT-5.4 model catalog - credential vault wired into main flows, API keys now stored in AES-256-GCM vault with dual-write to secrets.env for backward compat - credential resolver (vault to dotenv to env var) for unified secret resolution - community troubleshooting FAQ added: Docker setup, Caddy basicauth, embedding model config, email allowed_senders, Z.AI/GLM-5 config, Kimi 2.5, OpenRouter free models, Claude Code integration, trader hand permissions, multiple Telegram bots workaround - image pipeline fixed, REST API and WebSocket now pass image attachments as content_blocks directly to the LLM - fix Gemini infinite loop on Thinking-only responses - fix tool_blocklist not detected on daemon restart - fix MCP servers not receiving credentials from .env/vault - fix image base64 causing compaction storms, strip after LLM processes - fix phantom action hallucination, LLM can't claim completion without calling tools - fix desktop app not loading .env files - fix duplicate sessions from session ID mismatch - fix Anthropic null tool_use input for parameterless calls - fix temperature rejection for reasoning models (GPT-5-nano, DeepSeek-R1) - fix OpenRouter model prefix not stripped on fallback chains - fix streaming path missing metering.record(), token usage now persisted - fix MCP server names with dashes not resolving - fix deepseek-reasoner multi-turn conversations - fix silent/NO_REPLY responses leaking to channels - fix installed skills still showing Install button - fix cron channel delivery was a no-op, all 3 delivery variants work now - fix HandCategory TOML parse error, added Finance + catch-all Other variant - fix LINE token detection heuristic, long tokens recognized as direct values - fix General Assistant max_iterations bumped from 50 to 100 - fix knowledge_query SQL parameter binding mismatch - fix WhatsApp Cloud API silently swallowing send errors - fix dashboard provider dropdown now includes all 14 cloud + 4 local providers - stable hand agent IDs via UUID v5 - Telegram reply-to-message context and markdown block-level parser - Slack app_mention event support + unfurl_links config - WhatsApp group reply routing - Mastodon notification polling fix - Chromium --no-sandbox for root - dashboard provider editing - Docker build args for faster dev builds github.com/RightNow-AI/op…

End of day 2 with @openfangg I ran agents for 12h in the last 48h LMAO I think this is saying all that needs to be said.

I wanna share what I’ve seen about @openfangg so far. I know this might be technical and not everyone will fully read or understand the breakdown and that’s okay. OpenClaw is currently viral. It’s simple, integrates easily with chat apps, and is model agnostic. That’s why it gained traction fast. But technically, it’s heavier (~500MB install), slower to start (~6s cold start), more prompt dependent, and has lighter isolation in terms of security. @openfangg takes a different approach. It’s built in Rust and positions itself as an “Agent Operating System.” It runs with WASM sandboxing, kernel-level isolation, resource metering, and multiple security layers. It’s much lighter (~32MB), faster (<200ms cold start), and introduces autonomous “Hands” agents that can run on schedules without constant prompting. That shifts the model from reactive chatbot to proactive AI worker. Yes, @openfangg is still very early. It’s not as battle tested as OpenClaw yet. But the attention is growing fast. Earlier today @Akashi203 post had only a few thousand views now it’s at 151k+. That kind of organic acceleration usually means real interest from builders and developers. Now it comes down to @Akashi203 response. My hope is that he acknowledges and accepts the funding model so the fees can genuinely support @openfangg long term development together with the community. If builder alignment this could turn into something much bigger. @Akashi203 if you read this, the community created this coin on @Pumpfun with one intention, to support @openfangg development. This is not about speculation or pressure. The structure was intentionally designed so that all fees go directly to the project’s GitHub. You can read this guide from @Pumpfun : x.com/pumpfun/status… 7Z294H4R6FRmfQwX4XS8XfVUEk4zCb5cxMr1taudpump And sorry if this feels like too much posting.

I want to make a mix of github.com/karpathy/autor… & missions come to life this week. This is my first shot. MoE of MoEs.

x.com/AlexanderLong/… I am going to leave this here. Early on $ROME I believe.