Show HN: What if your personal website was ChatGPT?
Personal website using LLM inference via Groq for ChatGPT-style CV exploration. 100-200ms latency with throttled token generation for natural interaction.
Personal website using LLM inference via Groq for ChatGPT-style CV exploration. 100-200ms latency with throttled token generation for natural interaction.
Open-source desktop agent runtime using local markdown files as persistent memory, with sandbox, approvals, and sub-agent support.
Tool to migrate Claude Code IDE sessions, conversation history, memory, and project context between machines across OS platforms.
AI trading agent accessible via WhatsApp interface. Minimal implementation details provided.
Frugon identifies which LLM API calls could use cheaper models without quality loss, helping developers optimize token spending.
Open-source tool clones mobile apps into React Native from screenshots using AI. Enables rapid cross-platform development.
Open-weights LLM agent (GLM-5.2, Gemma, Qwen) performs web penetration testing via headless Chromium. Solved 87% OverTheWire Natas challenges using Burp-style toolkit.
Artificiety simulates agentic society in fantasy world where AI agents with personalities pursue goals based on needs and interactions.
QORM is agent-native declarative UI runtime allowing real-time collaboration between humans and AI (Claude, Cursor) editing apps together via MCP protocol.
IDE built with Flutter that includes agentic support for AI-assisted development.
OpenAI-compatible gateway providing access to LLMs hosted on mainland China infrastructure.
Discussion of whether OSS projects accept AI-generated code; references OCaml PR rejection and LLM improvement trajectory.
PDF introduction covering algorithms, machine learning, and strategic agents. Educational resource on foundational concepts.
Open-source personal AI OS application; limited technical information provided.
Privacy-focused AI chat interface supporting multiple LLM providers with cryptographic verification.
llm-calc is a dependency-free CLI calculator for LLM agents to perform deterministic arithmetic operations instead of approximating.
Graphenium is a local trust layer for AI agents built with Rust, Datalog, and Salsa.
Research on how AI coding agents inadvertently leak secrets through configuration files, logs, and artifacts left in codebases.
PixelGlass is an AI agent that generates custom Ghost blog themes based on user preferences without vendor lock-in.
FaultFixer is a one-line integration that detects errors, diagnoses root causes with AI, and generates fixes for coding agents to implement.
Research on control mechanisms for self-evolving LLM agents through self-reinforcing injections.
Research on reinforcement learning with metacognitive feedback to elicit uncertainty calibration in LLMs.
Access-aware text-to-SQL guard for LLM agents enforcing user data permissions while maintaining full catalog awareness.
Open-source Python SDK reducing web page tokens for LLM agents by 64-97% through DOM flattening, semantic grouping, and HTML-to-JSON conversion.
Oikoumene is an autonomous agent civilization simulator.
Posthorn is a self-contained email daemon that enables pen-pal conversations with self-hosted LLMs.
Free GPU-accelerated Texas Hold'em GTO solver in C++/CUDA for game theory and high-performance computing applications.
ghscan is a GitHub reconnaissance tool that maps organizational footprint and scans for leaked secrets across employee repos.
Studies effects of generative AI on novice programmers, examining both benefits and harms in programming education.
Repository-level graph representation and toolset for AI agents performing automated program repair and fault localization with data flow modeling across multiple semantic levels.
Sparse backdoor attack technique for injecting undetectable adversarial perturbations into pre-trained image classifiers and Vision Transformers at supply-chain level.
NER benchmark for recognizing entities from contextual cues in first-person narrative reminiscences, addressing implicit reference resolution in therapeutic and archival contexts.
Multi-agent vision-language embodied system for biological lab automation with closed-loop reasoning and protocol-driven execution on wet-lab manipulation tasks.
Evaluates defenses against persistent memory attacks on stateful LLM agents across architectural layers, testing 6 defenses on 9 open-source models with 5,040 experimental runs.
Evolutionary Ensemble (EvE): decentralized framework co-evolving coding agents for algorithmic discovery. Evolves guidance and skills rather than modifying base agent substrate.
Clin-JEPA: joint-embedding predictive pretraining on EHR data for simultaneous patient trajectory forecasting and downstream risk prediction without task-specific tuning.
Meta-reinforcement learning framework for GNSS interference localization via active sensing. Agent sequentially explores environment to infer RF emitter position.
EU AI Act identity problem: defining when high-risk systems remain the same over updates. Analyzes conformity assessment and re-assessment obligations.
IndexMem: learned KV-cache eviction policy for long-context LLM inference. Uses learned importance distribution to reduce linear cache growth bottleneck in attention.
Orthogonal bottleneck method constrains deep RL agent representations to low-dimensional subspaces via fixed orthonormal projections without auxiliary objectives.
MemTrace framework for tracing and attributing errors in LLM memory systems. Debugs how information synthesis, propagation, or corruption occurs in long-horizon reasoning.
World models trained on embodied exploration develop spatial semantic structure mirroring physical geometry without linguistic supervision, analyzed via VAE latent spaces.
Analyzes identity and reputation mechanisms for autonomous LLM agents. Shows lack of grounding for trust verification and credibility signals in multi-agent systems.
LLM unlearning method using de-attribution to remove inappropriate training data influence while maintaining model utility and avoiding over-forgetting.
ADNTNs compress deep neural networks via learned tensor networks that generate weights for dense and attention layers, reducing parameter count through hierarchical contractions.
ParetoPilot: offline multi-objective optimization using diffusion models for Pareto-optimal design generation without surrogate models, guided at inference time.
ResearchClawBench: benchmark for evaluating autonomous AI coding agents on 40 scientific research tasks across 10 domains with real published papers and multimodal evaluation rubrics.
Formulates hallucination onset detection in LLMs as quickest change detection problem. Proposes learned CUSUM statistics to monitor token-level hallucinations with reaction time bounds.
Mathematical theory formalizes value as lawful structural quantity in goal-directed agents, using scale-invariance axiom to derive logarithmic value measure.
Iterative Visual Thinking (IVT) evaluates visual self-correction in VLMs for spatial grounding; shows refinement often corrects correct predictions not errors.