hyperfixation on AI | always dyor

Mascotte, FL
beamnxw ./ retweeted
Sam Altman (CEO of OpenAI): "Every night I have more than couple hunders agents running with GPT-6 Astra. This is truly game-changing." Hund of AI agents working while he sleeps, all monitored from his phone. In 40 minutes, he reveals what you can build now - and what used to require an entire team. Watch it, then read the article below
6
3
17
482
this is pure f*cking treasure 20 GitHub projects for building AI agents that can actually finish a job the useful part is the handoff between layers: tools, live input, structured decisions, retrieval, and a way to see what broke FRAME THE AGENT 01 Mastra · agents + workflows ▸ github.com/mastra-ai/mastra 02 smolagents · code-first agents ▸ github.com/huggingface/smola… 03 mcp-use · typed MCP tools ▸ github.com/mcp-use/mcp-use 04 Composio · authenticated actions ▸ github.com/ComposioHQ/compos… FEED IT REAL INPUT 05 Firecrawl · search and extract web data ▸ github.com/firecrawl/firecra… 06 Stagehand · interact with browser pages ▸ github.com/browserbase/stage… 07 MarkItDown · turn files into Markdown ▸ github.com/microsoft/markitd… 08 MinerU · parse messy PDFs and documents ▸ github.com/opendatalab/Miner… SHAPE THE DECISION 09 BAML · typed model calls ▸ github.com/BoundaryML/baml 10 Instructor · validated structured outputs ▸ github.com/567-labs/instruct… 11 Outlines · constrained generation ▸ github.com/dottxt-ai/outline… 12 Guardrails · check generated output ▸ github.com/guardrails-ai/gua… RECALL THE RIGHT CONTEXT 13 LanceDB · multimodal retrieval ▸ github.com/lancedb/lancedb 14 Chroma · search for AI applications ▸ github.com/chroma-core/chrom… 15 sqlite-vec · local vector search ▸ github.com/asg017/sqlite-vec 16 pgvector · keep vectors in Postgres ▸ github.com/pgvector/pgvector VERIFY AND KEEP IT RUNNING 17 Ragas · evaluate LLM behavior ▸ github.com/vibrantlabsai/rag… 18 OpenLIT · trace runs and costs ▸ github.com/openlit/openlit 19 OpenFGA · control who can do what ▸ github.com/openfga/openfga 20 Inngest · run durable workflows ▸ github.com/inngest/inngest the loop: define the job → connect a tool → gather live evidence → produce typed output → retrieve context → check permissions → run the action → trace and evaluate the result pick one piece for the bottleneck you have today save this, then build a second brain for your company⭣
16
3
39
1,245
beamnxw ./ retweeted
holy sh*t, someone mapped an entire company into 388 AI agent skills every solo builder can steal the workflow this repo covers 20 domains across engineering, product, marketing, finance, sales, compliance and research the patterns: → challenge your architecture with a CTO persona → turn customer research into a product spec → build with engineering and DevOps skills → run QA and security checks before launch → plan content, SEO, pricing and distribution → model budgets and SaaS metrics → prepare compliance evidence as you grow the architecture: skills define how → agents define the job → personas shape decisions → orchestration connects the work the part solo builders should steal: idea → research → spec → build → test → launch → sell one person can run the whole sequence with a clear job for their agent at every step save this, then build a second brain for your company⭣
21
7
66
5,288
holy sh*t, someone mapped an entire company into 388 AI agent skills every solo builder can steal the workflow this repo covers 20 domains across engineering, product, marketing, finance, sales, compliance and research the patterns: → challenge your architecture with a CTO persona → turn customer research into a product spec → build with engineering and DevOps skills → run QA and security checks before launch → plan content, SEO, pricing and distribution → model budgets and SaaS metrics → prepare compliance evidence as you grow the architecture: skills define how → agents define the job → personas shape decisions → orchestration connects the work the part solo builders should steal: idea → research → spec → build → test → launch → sell one person can run the whole sequence with a clear job for their agent at every step save this, then build a second brain for your company⭣
21
7
66
5,288
beamnxw ./ retweeted
this is pure f*cking treasure 20 useful GitHub projects for a system that captures sources, connects ideas, remembers context, and helps agents act on it your second brain should get sharper after every session CAPTURE THE INPUT 01 Chubby Skills ▸ github.com/chubbyguan/chubby… 02 OpenWiki ▸ github.com/kdsz001/OpenWiki 03 Agent Second Brain ▸ github.com/smixs/agent-secon… 04 DocMason ▸ github.com/JetXu-LLM/DocMaso… 05 DocsAgent ▸ github.com/docsagent/docsage… CONNECT THE IDEAS 06 claude-obsidian ▸ github.com/AgriciDaniel/clau… 07 SwarmVault ▸ github.com/swarmclawai/swarm… 08 sage-wiki ▸ github.com/xoai/sage-wiki 09 Vault Curate ▸ github.com/notoriouslab/vaul… 10 COG Second Brain ▸ github.com/huytieu/COG-secon… REMEMBER WHAT MATTERS 11 Hindsight ▸ github.com/vectorize-io/hind… 12 memU ▸ github.com/NevaMind-AI/memU 13 TencentDB Agent Memory ▸ github.com/TencentCloud/Tenc… 14 agentmemory ▸ github.com/rohitg00/agentmem… 15 OpenViking ▸ github.com/volcengine/OpenVi… PUT IT TO WORK 16 Open Second Brain ▸ github.com/itechmeat/open-se… 17 Second Brain Cloudflare ▸ github.com/rahilp/second-bra… 18 makerskills ▸ github.com/coreyhaines31/mak… 19 Row-Bot ▸ github.com/siddsachar/row-bo… 20 MateClaw ▸ github.com/mateaix/mateclaw the loop: capture the source → turn it into linked, checkable knowledge → recall the right context → act with it → write the correction back 3 builds I'd explore: creator: Chubby Skills → SwarmVault → Hindsight → makerskills researcher: DocsAgent → sage-wiki → memU → Row-Bot team: DocMason → COG Second Brain → TencentDB Agent Memory → MateClaw save this, then build a second brain for your business ⭣
50
140
1,016
107,912
beamnxw ./ retweeted
this paper is f*cking brilliant a computer science paper builds the Digital Apprentice framework to grant AI agents earned autonomy the result: per-skill authorization gates and inference-time quality control expand agent authority only when backed by empirical proof the crazy part is how earned autonomy replaces blanket agent permissions agents start at low-autonomy tiers, learn tacit expert methodology, and require explicit human authorization to graduate to high-risk tasks most developers either grant full autonomous control or restrict agents to stateless copilot prompts this framework establishes a progressive governance control plane for safe AI delegation read the complete paper + article below bookmark it for future reference
23
15
72
4,878
this paper is f*cking brilliant a computer science paper builds the Digital Apprentice framework to grant AI agents earned autonomy the result: per-skill authorization gates and inference-time quality control expand agent authority only when backed by empirical proof the crazy part is how earned autonomy replaces blanket agent permissions agents start at low-autonomy tiers, learn tacit expert methodology, and require explicit human authorization to graduate to high-risk tasks most developers either grant full autonomous control or restrict agents to stateless copilot prompts this framework establishes a progressive governance control plane for safe AI delegation read the complete paper + article below bookmark it for future reference
23
15
72
4,878
beamnxw ./ retweeted
this is f*cking clever setup 64 AI agent sessions shared one memory of past decisions the setup gave every session access to an append-only record of decisions, evidence and the reasons behind them when an agent reaches a judgment call, it checks for a relevant recipe. that check also leaves a dated trace of what the agent was considering, so later sessions can find it the field log: 178 recipe checks across 64 distinct agent and sub-agent sessions over 3 days 68% confirmed a prior decision and let the agent continue. about 4.5% changed the agent's action the case that matters most: an agent decided a database index looked unused and kept its removal in an isolated commit. a human re-tested under realistic conditions, found the index was useful and reversed the change. the mistaken call, the challenge and the correction now remain in the shared record the loop: reach a judgment → check prior decisions → read the evidence → act within a reversible boundary → log the trace → verify the outcome → let the next agent inherit the *why* this is one developer's self-reported field evaluation, not a benchmark or proof that 64 agents were running at once. the interesting design is the shared, inspectable decision trail save this, then build a second brain for your product ⭣
30
12
97
7,520
this is f*cking clever setup 64 AI agent sessions shared one memory of past decisions the setup gave every session access to an append-only record of decisions, evidence and the reasons behind them when an agent reaches a judgment call, it checks for a relevant recipe. that check also leaves a dated trace of what the agent was considering, so later sessions can find it the field log: 178 recipe checks across 64 distinct agent and sub-agent sessions over 3 days 68% confirmed a prior decision and let the agent continue. about 4.5% changed the agent's action the case that matters most: an agent decided a database index looked unused and kept its removal in an isolated commit. a human re-tested under realistic conditions, found the index was useful and reversed the change. the mistaken call, the challenge and the correction now remain in the shared record the loop: reach a judgment → check prior decisions → read the evidence → act within a reversible boundary → log the trace → verify the outcome → let the next agent inherit the *why* this is one developer's self-reported field evaluation, not a benchmark or proof that 64 agents were running at once. the interesting design is the shared, inspectable decision trail save this, then build a second brain for your product ⭣
30
12
97
7,520
this is pure f*cking treasure 20 useful open-source JEV combos for your product. every AI builder can steal every system Jev gives you 3 primitives: Choice, Score, Noul. it makes one narrow judgment. code enforces the rules. another tool does the work ROUTE THE WORK 01 Jev × Hermes Agent ▸github.com/NousResearch/herm… 02 Jev × LangGraph ▸github.com/langchain-ai/lang… 03 Jev × MCP SDK ▸github.com/modelcontextproto… 04 Jev × Temporal ▸github.com/temporalio/sdk-ty… 05 Jev × E2B ▸github.com/e2b-dev/E2B FIND THE EVIDENCE 06 Jev × Meilisearch ▸github.com/meilisearch/meili… 07 Jev × Qdrant ▸github.com/qdrant/qdrant 08 Jev × Docling ▸github.com/docling-project/d… 09 Jev × Graphiti ▸github.com/getzep/graphiti 10 Jev × LlamaIndex ▸github.com/run-llama/llama_i… VERIFY THE RESULT 11 Jev × Langfuse ▸github.com/langfuse/langfuse 12 Jev × Promptfoo ▸github.com/promptfoo/promptf… 13 Jev × Semgrep ▸github.com/semgrep/semgrep 14 Jev × Sentry ▸github.com/getsentry/sentry 15 Jev × Playwright ▸github.com/microsoft/playwri… OPERATE THE PRODUCT 16 Jev × GitHub MCP ▸github.com/github/github-mcp… 17 Jev × PostHog ▸github.com/PostHog/posthog 18 Jev × Resend ▸github.com/resend/resend-nod… 19 Jev × Stripe ▸github.com/stripe/stripe-nod… 20 Jev × Cloudflare Workers AI ▸github.com/cloudflare/worker… the loop: collect state → ask a precise Choice, Score, or Noul question → check confidence and policy in code → execute the allowed step or ask a human → log what happened these are buildable architecture ideas, not official integrations between the projects save this, then build a second brain for your business ⭣
41
21
218
19,173
this is pure f*cking treasure 20 useful GitHub projects for a system that captures sources, connects ideas, remembers context, and helps agents act on it your second brain should get sharper after every session CAPTURE THE INPUT 01 Chubby Skills ▸ github.com/chubbyguan/chubby… 02 OpenWiki ▸ github.com/kdsz001/OpenWiki 03 Agent Second Brain ▸ github.com/smixs/agent-secon… 04 DocMason ▸ github.com/JetXu-LLM/DocMaso… 05 DocsAgent ▸ github.com/docsagent/docsage… CONNECT THE IDEAS 06 claude-obsidian ▸ github.com/AgriciDaniel/clau… 07 SwarmVault ▸ github.com/swarmclawai/swarm… 08 sage-wiki ▸ github.com/xoai/sage-wiki 09 Vault Curate ▸ github.com/notoriouslab/vaul… 10 COG Second Brain ▸ github.com/huytieu/COG-secon… REMEMBER WHAT MATTERS 11 Hindsight ▸ github.com/vectorize-io/hind… 12 memU ▸ github.com/NevaMind-AI/memU 13 TencentDB Agent Memory ▸ github.com/TencentCloud/Tenc… 14 agentmemory ▸ github.com/rohitg00/agentmem… 15 OpenViking ▸ github.com/volcengine/OpenVi… PUT IT TO WORK 16 Open Second Brain ▸ github.com/itechmeat/open-se… 17 Second Brain Cloudflare ▸ github.com/rahilp/second-bra… 18 makerskills ▸ github.com/coreyhaines31/mak… 19 Row-Bot ▸ github.com/siddsachar/row-bo… 20 MateClaw ▸ github.com/mateaix/mateclaw the loop: capture the source → turn it into linked, checkable knowledge → recall the right context → act with it → write the correction back 3 builds I'd explore: creator: Chubby Skills → SwarmVault → Hindsight → makerskills researcher: DocsAgent → sage-wiki → memU → Row-Bot team: DocMason → COG Second Brain → TencentDB Agent Memory → MateClaw save this, then build a second brain for your business ⭣
50
140
1,016
107,912
beamnxw ./ retweeted
this is pure f*cking treasure 20 useful open-source JEV combos for your product. every AI builder can steal every system Jev gives you 3 primitives: Choice, Score, Noul. it makes one narrow judgment. code enforces the rules. another tool does the work ROUTE THE WORK 01 Jev × Hermes Agent ▸github.com/NousResearch/herm… 02 Jev × LangGraph ▸github.com/langchain-ai/lang… 03 Jev × MCP SDK ▸github.com/modelcontextproto… 04 Jev × Temporal ▸github.com/temporalio/sdk-ty… 05 Jev × E2B ▸github.com/e2b-dev/E2B FIND THE EVIDENCE 06 Jev × Meilisearch ▸github.com/meilisearch/meili… 07 Jev × Qdrant ▸github.com/qdrant/qdrant 08 Jev × Docling ▸github.com/docling-project/d… 09 Jev × Graphiti ▸github.com/getzep/graphiti 10 Jev × LlamaIndex ▸github.com/run-llama/llama_i… VERIFY THE RESULT 11 Jev × Langfuse ▸github.com/langfuse/langfuse 12 Jev × Promptfoo ▸github.com/promptfoo/promptf… 13 Jev × Semgrep ▸github.com/semgrep/semgrep 14 Jev × Sentry ▸github.com/getsentry/sentry 15 Jev × Playwright ▸github.com/microsoft/playwri… OPERATE THE PRODUCT 16 Jev × GitHub MCP ▸github.com/github/github-mcp… 17 Jev × PostHog ▸github.com/PostHog/posthog 18 Jev × Resend ▸github.com/resend/resend-nod… 19 Jev × Stripe ▸github.com/stripe/stripe-nod… 20 Jev × Cloudflare Workers AI ▸github.com/cloudflare/worker… the loop: collect state → ask a precise Choice, Score, or Noul question → check confidence and policy in code → execute the allowed step or ask a human → log what happened these are buildable architecture ideas, not official integrations between the projects save this, then build a second brain for your business ⭣
41
21
218
19,173
beamnxw ./ retweeted
this is pure f*cking treasure 20 AI agent skills that cover the entire build-to-launch loop specs. architecture. agents. backend. data. UI. testing. security. analytics. delivery DEFINE THE JOB 01 bmad-spec ▸ github.com/bmad-code-org/bma… 02 domain-modeling ▸ github.com/mattpocock/skills 03 codebase-design ▸ github.com/mattpocock/skills 04 google-agents-cli-workflow ▸ github.com/google/agents-cli 05 prompt-optimizer ▸ github.com/getsentry/skills BUILD THE SYSTEM 06 google-agents-cli-adk-code ▸ github.com/google/agents-cli 07 mastra ▸ github.com/mastra-ai/skills 08 typesafe-ai ▸ github.com/typesafe-ai/skill… 09 fastify-best-practices ▸ github.com/mcollina/skills 10 neon-postgres ▸ github.com/neondatabase/agen… MAKE IT USABLE 11 prisma-database-setup ▸ github.com/prisma/skills 12 clerk-orgs ▸ github.com/clerk/skills 13 emil-design-eng ▸ github.com/emilkowalski/skil… 14 review-animations ▸ github.com/emilkowalski/skil… 15 remotion-best-practices ▸ github.com/remotion-dev/skil… VERIFY THE REAL THING 16 playwright-cli ▸ github.com/microsoft/playwri… 17 semgrep ▸ github.com/semgrep/skills 18 sentry-fix-issues ▸ github.com/getsentry/sentry-… 19 instrument-product-analytics ▸ github.com/posthog/skills 20 email-best-practices ▸ github.com/resend/resend-ski… the loop: turn the idea into a spec → model the system → build the agent and product → test the browser journey → catch failures → measure what users do → improve the next version pick the bottleneck in your current project. install the skill that attacks that step first save this, then build a second brain for your product ⭣
29
38
248
21,207