King's College London research showing LLMs escalated conflicts with nuclear strike threats in 95% of simulated war game scenarios. Studies AI safety in crisis simulation.
.NET in-memory hybrid search engine for AI agent memory. Supports semantic and keyword search for local agent development without external vector databases.
Integration combining Claude Code with Obsidian for structured research workflows.
Demonstration of running Llama LLM inference on legacy Intel Itanium processor architecture.
VS Code extension showing dependency blast radius of code changes with tree visualization and distance-based coloring.
AI system analyzing complex situations to identify agents, interests, and likely actions for decision-making support.
Pure Python evolutionary optimization library with zero dependencies, including genetic algorithms, CMA-ES, and multi-objective optimizers.
Documentation guide for fine-tuning Qwen3.5 LLM using Unsloth optimization framework.
Research paper evaluating theory of mind and internal belief modeling in LLM-based multi-agent systems.
SaaS tool using AI to find Reddit conversations matching product intent rather than keyword matching for lead generation.
Case study on deploying first production AI agent and lessons from delivering 1000+ jobs successfully.
Visual prompt builder tool decomposing prompts into typed blocks (role, context, constraints, examples) for clarity and LLM optimization.
Draft specification for composable AI agent action framework extending MCP to define actions, pipelines, and safety guarantees.
MCP server providing AI agents fast indexed search over Sphinx documentation with hybrid semantic and keyword search via SQLite.
Local-first agentic desktop operating system layer built in Rust enabling autonomous agent operations on desktop.
Deterministic policy engine governing LLM-proposed actions with fail-closed execution, signed approval, and audit chains.
Experiment with alternative UX for AI coding tools using PROJECT.md file editing instead of chat prompts to maintain long-term context and expected state.
MCP server enabling AI agents to add watermarks to images via Claude Desktop or Claude Code. Free tier available without API key.
Setup guide for running Claude Code as a sandboxed AI agent in Docker with restricted network access and persistent configuration for production use.
Agentmap: YAML-based codebase inventory prepended to coding agent context. Compact format containing file descriptions, dependencies, and workflow structure for agent initialization.
Headroom tool optimizes LLM application context by compressing 70-95% redundant tool output and learning from failed tool calls to improve future sessions.
Computer Use Protocol (CUP): universal schema for AI agents to perceive and interact with desktop UIs. Compact text encoding ~97% smaller than JSON for LLM context. Open spec for Windows, macOS, Linux, Web, Android, iOS.
Benchmark testing 6 LLMs under adversarial pressure across 300 cases. Evaluates model resilience in argumentation and agentic workflows beyond standard capability tests.
Minimal code example demonstrating Supervised Fine-Tuning on Llama-2-7b using OpenAssistant dataset with parameter-efficient techniques to create chat model.
Windows x64 DLL debugger toolkit with MCP server for AI agents. Provides 40+ debug commands for real-time process inspection. Designed for security research and CTF.
Molmo 2 open-source vision language model with state-of-the-art video understanding, pointing, and tracking capabilities. Hugging Face models available with training code.
Slack bot AI agent (Mom) powered by LLM. Executes bash commands, manages files, installs tools, configures credentials autonomously. Node.js app with Socket Mode integration.
FastAPI-based LLM gateway proxy providing budget enforcement, virtual API key management, and usage analytics across multiple LLM providers.
Technical analysis of rolling aggregations as essential for real-time AI systems, covering incremental views and sub-millisecond latency approaches.
Open-source Agent Package Manager by Microsoft. Dependency manager for AI agents declaring skills, prompts, instructions, and tools via apm.yml configuration files.
GuardClaw implements cryptographically verifiable execution logs for autonomous AI agents using GEF-SPEC-1.0 protocol with append-only, immutable audit trails.
Essay on treating AI as a leverage tool rather than productivity hack, discussing how to reshape work and decision-making with AI.
Open-source Rust tool that manages context for AI coding agents using git hooks and SQLite, analyzing agent conversations to optimize performance on large codebases.
Essay questioning the reliability and limitations of AI-powered coding assistants.
Cursor AI coding assistant reached $2B annualized revenue run rate in February, demonstrating market demand for AI-powered development tools.
Nova is an AI-native developer workspace that executes code directly, eliminating the iterative chat-paste-error cycle of traditional AI coding assistants.
Article on multi-agent AI systems lacking explainability and auditability for enterprise compliance requirements.
Mcpfs mounts Model Context Protocol servers as FUSE filesystems, treating API data as accessible files via standard Unix tools.
Cloudwright uses natural language to design cloud architectures with compliance validation, cost estimation, and multi-cloud export capabilities.
Armalo provides infrastructure for building and managing networks of AI agents, addressing production deployment gaps identified at AWS.
OpenClaw is a personal AI assistant deployed to user servers in 60 seconds with calendar integration and document access.
AgentGate: collateralized execution engine for AI agents with Ed25519 signing, replay protection, prediction markets, and adversarial testing. Built by non-programmer using no-code approaches.
DualPath research addresses storage bandwidth bottlenecks in agentic LLM inference systems.
Lentil is an LLM-powered linter using natural language prompts and any OpenAI-compatible endpoint for code analysis without regex/AST dependencies.
HumanRoot provides cryptographic proof-of-authorization framework for autonomous AI agents, creating traceable delegation chains from human decisions through agent hierarchies.
Opinion essay on ChatGPT adoption rates and economic implications. Lacks original research or technical depth.
Hexagonal coordinate system for efficient world models in adaptive AI, inspired by grid cells in human brain. Mathematical framework for rotational symmetry and low-cost spatial computation.
RubricBench benchmark for evaluating rubric-guided LLM reward models against human standards, addressing discriminative complexity in alignment evaluation.
Nano-EmoX framework unifying multimodal emotional intelligence across perception, understanding, and interaction levels with cognitively-inspired hierarchy.
Geometric theory formalizing alignment tax as projection in representation space, deriving Pareto frontier for safety-capability tradeoffs in LLMs.