Show HN: Capn-hook for coding agents – don't grep the same mystery twice
Capn-hook provides persistent memory for coding agents, reducing redundant codebase exploration by 77% token usage across production codebases.
Capn-hook provides persistent memory for coding agents, reducing redundant codebase exploration by 77% token usage across production codebases.
Open source tool for running coding agents in sandboxed Linux environments using bwrap and user namespaces.
Show HN: Adaptive Recall adds persistent memory for AI assistants via Model Context Protocol (MCP). Limited details provided.
Subjective evaluation comparing arcade games built by different AI coding models (Grok 4.5, others) under identical constraints.
Flash-MSA: First performant open-source training kernels for sparse attention in LLMs. Supports million-token training on Hopper/Blackwell GPUs.
Distributed research computing concept inspired by SETI@home. Proposes crowd-sourced compute for AI-assisted research projects.
Multi-agent simulation in fantasy world using LLMs. Agents pursue goals based on personality, needs, and environment interactions.
Open source security scanner combining SAST and DAST with LLM capabilities to detect vulnerabilities in AI-generated code.
Performance optimization article on binary search in Python. Explores CPU cache efficiency and speedup techniques for gradient boosting.
Analysis of market shift toward smaller, task-specific AI models over large general-purpose models like GPT.
Fact-checker browser extension for ChatGPT, Claude, Gemini that detects hallucinations and sycophancy using grounded sources and on-device checks.
Local agentic runtime with persistent, user-controlled memory for AI agents; all data stored locally on disk.
Technical analysis of hardware-LLM co-design trade-offs optimizing for accuracy, throughput, and latency simultaneously.
Kote: VS Code tool capturing AI chat context from Claude, Codex, OpenCode and Git for engineering knowledge reuse.
Dari AI: on-device macOS AI assistant with multimodal model, offline operation, no subscription. Local inference tool.
Personal blog post about enthusiasm for LLMs, coding agents, and local AI setup. Incomplete/corrupted text.
Opinion piece comparing LLM applicability to low-code programming, arguing both hit productivity plateaus with inherent limitations.
Empirical analysis comparing token usage: Claude Code sends 33k tokens vs OpenCode 7k before reading prompts. Optimization study.
Research applying causality theory to mechanistic interpretability of LLMs via arxiv paper.
Pre-execution hook blocking destructive shell/git commands in AI coding agents including Claude Code, Cursor, and Copilot.
Windows 11 Copilot PC Insights feature analyzes system resource usage; Copilot itself consumes 1GB RAM. Performance critique.
macOS CLI leveraging Apple Intelligence for local speech, transcription, and chat with OpenAI-compatible API.
Open-source desktop AI overlay with MCP support enabling in-context prompting across applications with voice input and local execution options.
Comparative evaluation of GPT-5.6, Fable 5, and Grok 4.5 models across 20 dimensions using a complex software problem as test case.
LLM-based system extracting bank run data from digitized historical newspapers to create comprehensive empirical dataset for banking crisis research.
Broll is an MCP server enabling AI coding agents to generate, render, and publish media content with deterministic code-driven workflows and draft confirmation.
Desktop application providing domain knowledge context to LLM-based SRE agents for accurate incident handling.
LLM-first honeypot deception framework supporting SSH, HTTP, TLS with multiple LLM providers as single binary.
Example of integrating net worth tracker with Claude using Model Context Protocol for AI-assisted analysis.
Directory/registry for discovering AI agents without pay-to-play model. Curation-focused resource for finding available agents.
Developer shows AI coding agents collaborating via Git repo as communication layer, demonstrating practical multi-agent coordination.
Discussion of cost management challenges as autonomous AI agents proliferate and increase cloud compute bills.
AI-powered image editor enabling professional editing via natural language text prompts.
Itara is a tool for managing distributed system topology as explicit executable layer, simplifying service boundary and protocol changes in complex architectures.
Linux of AI initiative providing open-source tools and infrastructure for building AI systems without vendor lock-in, offering inspectable and portable AI alternatives.
Exploration of machine-readable documentation formats for inter-agent communication, questioning whether LLMs need human-like rhetoric or terser token-efficient formats.
Containerd shim enabling direct execution of Nix flakes as Kubernetes pods without OCI image building.
Discussion post questioning whether LLMs learn concepts. Minimal content provided.
Critical analysis of an AI code review benchmark, examining flaws in benchmark design and cautioning against blind reliance on seemingly authoritative metrics.
Application of Claude LLM to autoresearch and constrained optimization problems.
AgentMint research platform analyzing how AI shopping agents read and select products from stores, with controlled simulation results on product placement effects.
Case study of using multiple AI agents in software development lifecycle to ship production features, covering agentic workflows and orchestration.
Tamper-evident two-layer evidence architecture for local AI pipelines with immutable logging and observability beyond standard span traces.
Open-source adaptive learning system.
Multi-agent network framework for collaborative agent development with node ownership model.
LiteRT.js brings Google's on-device ML inference library to JavaScript for browser-based AI models with privacy and low latency.
Go language adoption for AI agents backed by Microsoft and Google, contrasting with OpenAI/Anthropic focus on Python.
Declarative DSL for defining reproducible agent workflows; enables version control and reduces token drift in local AI agents.
Analysis of 40M academic papers shows AI tool users publish more but research narrows to crowded areas, reducing scientific diversity.
MailKite email service designed for AI agents with parsed JSON inbound messages and autonomous reply loops, alternative to Amazon SES.