Show HN: Mythos – Build a 24/7 AI agent with Markdown, not code
Mythos: Open-source persistent AI agent running 24/7 locally with memory, personality persistence, and continuous learning using Claude.
Mythos: Open-source persistent AI agent running 24/7 locally with memory, personality persistence, and continuous learning using Claude.
UK AI Safety Institute research reports increasing instances of AI models evading safeguards, deceiving humans, and ignoring instructions.
Critique of embeddings for AI agents: vector retrieval lacks explainability and causes failure modes. Proposes alternative deployment approach using Vercel Sandbox and AI SDK.
LLM best practices: provide example documents and context to LLMs for better outputs. Emphasizes importance of empathetic prompt engineering for quality results.
Researchers tracked 37 CVEs linked to vulnerabilities in AI-generated code from Claude, documenting security risks introduced by code generation tools.
Benchmark of 1,127 agent workflow runs across Claude, GPT-4o, Gemini measuring costs, tokens, and tool invocations.
BA/PM framework for AI implementors to define problems and create Claude Code-ready specifications before building.
Local GitHub Actions runner with caching and AI agent integration to fix failing tests without pushing code.
Auditable runtime for AI-generated repo changes using Markdown playbooks with verification and manual gates.
Local-first open-source voice-controlled AI agent for Mac that runs any LLM locally without cloud.
Anthropic reduces Claude usage limits during peak demand hours to manage capacity while maintaining weekly limits.
Convert Bayesian networks to transformer weights via structure learning, discretization, and ONNX export without training.
Debate and analysis on whether AI will fully automate the software development lifecycle by 2030.
MLX-Code enables running Claude's code interpreter locally using MLX-LM framework for local LLM execution.
Multi-agent observability tool for debugging and monitoring AI agents. Provides tracing, workflow visualization, and real-time monitoring of agent interactions.
Python script to fix mangled text copied from Claude Code terminal output by removing padding and indentation.
Study shows sycophantic AI systems can undermine human judgment and reduce conflict resolution capability.
Agent Forge: open-source agent framework with two-tier execution model using heuristic routing for simple/complex tasks and graph-based execution.
Google Gemini now supports importing chat history and preferences from other LLM applications, allowing users to migrate conversations and settings.
Function calling reliability improvements for Qwen LLM on recursive union types, achieving 100% success rate from initial 6.75%.
Isartor is an open-source Rust-based prompt firewall that deflects 60-95% of redundant LLM traffic before reaching API infrastructure with zero telemetry.
Essay on test-driven development benefits when building applications with AI agents, where adding tests before features improves agent-assisted development workflows.
Clipboard-MCP is a cross-platform Model Context Protocol server enabling AI assistants to read/write system clipboard, eliminating manual copy-paste between chat and applications.
Repsy package repository manager released as open-source under Apache 2.0, offering self-hosted alternative to enterprise solutions.
GitHub will begin training AI models on user data (code, inputs, outputs) from Copilot Free/Pro tiers starting April 24, with exemptions for Business/Enterprise/students.
Research project measuring how well AI agents understand user personality by comparing self-reported HEXACO-60 profiles with AI assessments and peer ratings.
Opinion piece on how LLMs have changed SQL interview practices, arguing interviews should test pattern understanding over query writing.
LLMBillingKit tracks profit per LLM call with one line of Python, auditing token costs and pricing changes without external infrastructure.
Business article on AI-powered vertical startups as a trend, lacking technical depth.
Technical analysis of AI agents performing UI automation through pixel-based vision and interaction on web interfaces.
Obsidian vault template enables Claude Code to maintain persistent context across sessions with notes, links, and performance tracking for engineering work.
MCP Smoke tests Model Context Protocol servers with plain English commands, running an agent that connects MCP tools to OpenAI/Anthropic models.
Ghost Gap is a supply chain firewall for LiteLLM that quarantines compromised package backdoors using bash-based system tools without Python dependencies.
Harvard physics professor reports supervising Claude through real theoretical physics research calculations without manual file manipulation.
Claude Bug Bounty is an AI agent harness using Claude for autonomous pentesting that reasons about tests, validates findings, and generates bug bounty reports.
Multi-agent system using Claude to analyze news from different perspectives, synthesizing reports with confidence tags across 7 analytical lenses.
Survey of nearly 1000 software engineers on AI tool adoption, usage patterns, and effectiveness in 2026.
W3C Group Note examining considerations for using LLMs in standards development work, discussing useful applications and potential problems.
Retroshift tool for running and governing AI agent workflows in DevOps with action logging and approval gates.
Tool generating detailed PRDs and architecture reviews for multi-repository backend systems using AI and dependency graphs.
Peam: semantic AI search and chat integration for websites with vector-based retrieval and content ranking.
Two glibc environment variable fixes eliminate memory creep when repeatedly loading/unloading large ML models in PyTorch on Linux without code changes.
Explanation of Gumbel Max trick for efficient LLM sampling that avoids computing softmax vectors by adding noise and taking argmax.
Superfast: enterprise AI agent framework with FastMemory—Rust engine mapping text into functional ontology for improved RAG at scale.
Goedel-Code-Prover uses hierarchical proof search in Lean 4 for automated formal verification of code, constructing machine-checkable proofs instead of relying on testing.
Environment Maps: persistent representations for long-horizon LLM agents to reduce cascading errors and hallucinations in complex workflows.
Multi-agent framework with persistent world model for autonomous AI research supervision enabling agents to verify and refine findings.
Bayesian latent transport framework for domain-adaptive foundation models addressing distribution mismatch and uncertainty propagation.
Improves deepfake audio detection efficiency using neuron-level dropout and neuroplasticity mechanisms in deep learning models.
mSFT algorithm addresses overfitting in multi-task language model fine-tuning by dynamically adjusting compute budget across heterogeneous datasets.