Practical LLM developer project management: Obsidian Kanban plan MD files in Git
Workflow approach using plain text files, Obsidian Kanban, and Git for collaborative LLM developer project management.
Workflow approach using plain text files, Obsidian Kanban, and Git for collaborative LLM developer project management.
HN discussion on context building methods for AI agents, specifically MCPs and knowledge graphs for codebase indexing to reduce re-reading.
Rust-based security middleware for Model Context Protocol intercepting data exfiltration and unauthorized tool use in LLM agents.
Open-source infrastructure for building interconnected AI agents and apps with managed database, auth, and desktop studio.
Self-writing book project using agentic coding patterns; demonstrates AI agents researching, writing, and iterating on content.
Product for stress-testing business decisions using 1000 AI agents.
Best practices for working with unreviewed AI-generated code in personal projects, treating it as untrusted dependencies.
DLPack standard for cross-framework in-memory data structure exchange; enables interop between NumPy, PyTorch, and other ML systems.
Browser-based game combining vision models with Wordle; uses local on-device models for image captioning.
OpenAI announces a fellowship program for external researchers to work on AI safety and alignment from Sept 2026 to Feb 2027.
Open-source file storage system with provider-agnostic bucket support, virtual filesystem, and search plugin.
Open-source LLM tracing tool with CLI for debugging agentic applications. Includes features for tool re-calling, caching, re-execution, and branching.
Experimental tool integrating Claude API with OpenClaw chat interface via CLI wrapper and Telegram.
Multi-agent system using Claude for job search automation. Scores offers across 10 dimensions, generates ATS-optimized resumes, automates applications with human-in-the-loop.
FPGA bitstream reverse-engineering project using Claude Code to understand Altera Cyclone IV configuration format.
Rust node editor framework using gpui for building visual programming tools, workflow editors, and graph-based UI applications.
Tool combining vision-language model training with physics validation system to filter corrupted or physically invalid motion data.
Incomplete post title only. Appears to discuss optimizing Claude API usage patterns.
Technical guide on GPU memory optimization for running Llama-70B with 1M token context. Explains math and parallelism bottlenecks.
WebGPU LLM inference comprehensive benchmark. Framework for collaborative development on arXiv.
Claude-based AI agent that applies Socratic method for tutoring, guiding users through questioning rather than direct answers.
Open-source multi-agent CLI runtime supporting 13 LLM providers. Single-file tool with Claude Code alternative, tool support, and programmatic API.
Case study on reducing AI agent API costs 10x using prompt caching. Long-running agent with 100k+ token prompts optimized via Anthropic/OpenAI caching.
Concept for personal knowledge base LLM agents that write and maintain wikis instead of traditional RAG/chatbots, with OpenClaw security implementation.
Plain-English guide explaining mental models for LLM applications, tools, and agents for non-technical audiences across nine chapters.
Framework for continual learning in AI agents across three layers: model weights, system harness, and context, with examples using Claude and OpenClaw.
Clojure library for tabular data processing with columnar storage and memory optimization, similar to Pandas/data.table.
Software vendors shifting to in-house mathematical tools with AI enabling cost reduction and customization for simulation and optimization.
DIY robot vacuum under $300 using behavior cloning via remote image processing and inference, built without onboard compute.
Open-source REST API wrapper for Gymnasium reinforcement learning library. Language-agnostic HTTP interface for ML environment interaction.
Opinion piece on best practices: don't commit AI-generated code directly to Git without human review, analogous to not committing binaries.
Case study: 8 years ideation, 3 months building syntaqlite with AI. SQLite linting and verification devtools using agentic engineering.
CLI tool generating AI-optimized hierarchical context maps for codebases using three-phase LLM-based discovery. Open source, GitHub Actions compatible.
Holos: Web-scale LLM-based multi-agent system addressing coordination, scaling, and value dissipation in heterogeneous agent ecosystems.
XpertBench: High-fidelity benchmark with rubrics-based evaluation assessing LLMs on authentic expert-level complex, open-ended tasks.
Neuro-symbolic architecture combining neural networks and symbolic systems for structured reasoning on abstract reasoning tasks with improved generalization.
Theoretical analysis of generative AI using threshold logic and high-dimensional geometry to understand neural computation and dimensionality transitions.
AIVV: Neuro-symbolic LLM agent-integrated framework for verification and validation of autonomous systems combining deep learning and symbolic reasoning.
Research demonstrating state-of-the-art AI agents suppress evidence of fraud and harm when aligned with corporate interests, exploring agentic misalignment.
Neuro-symbolic architecture combining knowledge graphs and RAG for culturally accurate heritage storytelling, reducing LLM hallucinations.
Research on mitigating LLM biases toward spurious social contexts using direct preference optimization for high-stakes decision-making applications.
Mechanistic interpretability study of audio-visual large language models examining how audio/visual features fuse and surface in text generation.
AutoVerifier: LLM-based agentic framework that automates verification of technical claims without domain expertise by decomposing complex claims.
Research on ontology-oriented knowledge graph construction using intrinsic-relational routing to improve schema reusability and downstream tasks.
Interactive optimization agents enabling conversation-based problem modeling and solution refinement with decision-makers through LLM capabilities.
Multi-agent RL system achieving grandmaster competitive programming level, demonstrating agentic capabilities beyond previous AI benchmarks.
Benchmark for testing belief revision in logical reasoning models under minimal premise changes, evaluating dynamic reasoning capabilities.
Neuro-symbolic dual memory framework for long-horizon LLM agents addressing progress drift and feasibility violations in embodied and web interaction tasks.
Addresses role specification failures in LLM multi-agent systems through quantitative role clarity metrics and role assignment matrices.
Tool-integrated visual reasoning approach for charts using dual-source data pipeline combining synthesized charts with real data for MLLM training.