An AI gateway that signs a receipt for every LLM response
Security gateway for AI agents with routing, failover, guardrails, and cryptographic receipts for LLM responses.
Security gateway for AI agents with routing, failover, guardrails, and cryptographic receipts for LLM responses.
Sanbox: sandbox platform for running AI agents with isolation, persistence, templates, CLI integration, and self-hosting options.
AI fitness coach application leveraging academic research for personalized training recommendations.
Fenzo: AI application that generates personalized interactive courses from uploaded notes or documents.
Spendict: performance tool for evaluating ad campaigns using AI agents over MCP protocol.
Local-first coding agent with LSP/DAP support. Provider-agnostic, long autonomous runs, no cloud lock-in. v1.0.0-rc1.
Runeward: sandboxing framework for AI agents with declarative profiles, deny-by-default egress, audit ledgers, policy gates, and cost guardrails via REST, MCP, CLI, and web dashboard.
Open-source TUI dashboard for managing Claude Code sessions. Groups transcripts by project, enables quick resumption.
Godot 4.7 project running Gemma 4 LLM inference via GDScript and Vulkan compute shaders without external dependencies. Experimental, ~10x slower than llama.cpp.
Discussion on fine-tuning small LLMs with reasoning traces and tool-calling using supervised or reinforcement learning approaches.
Benchmark measuring political neutrality across 18 AI models from multiple labs on six political dimensions with refusal rates.
Security framework (Attestor) for AI agents enforcing trust boundaries between agent operations and system execution with access controls.
Multi-provider AI workspace maintaining shared conversation history and context across ChatGPT, Claude, Gemini and other LLMs.
Tool for creating promptable AI agents with guardrails and downloadable packages. Limited detail provided.
Approach for AI agents to build internal world models during exploration, tested on ARC-AGI puzzles achieving higher solve rates than baseline LLMs.
Robot emotion modeling via simulated neurochemistry. Uses LLM input to drive chemical state variables that project to emotional expressions.
P2P distributed LLM inference framework running llama.cpp in browser WebAssembly with peer computation.
iPhone app positioning AI agent as virtual CTO for architecture and strategy advice. Limited technical details.
3D visualization tool replaying coding agent sessions on repository map, showing agent exploration and edit patterns during task execution.
Ruby gem providing unified async API across Ractors, Threads, and Fibers for testing concurrent code performance.
Claude Code status line tool tracking estimated water consumption from LLM inference, showing real-time environmental cost of API calls.
Developer tool that shows Claude the actual codebase conventions before editing. Injects file archetypes via hooks to improve code generation quality.
Personal retrospective on AI coursework from 2000 using Lisp, comparing historical AI education to modern deep learning approaches.
Addresses GPU memory bottlenecks in JAX-based LLM training using host offloading to optimize HBM utilization for large model scaling.
Privacy monitoring tool showing exactly what files Claude Code agent accessed and commands executed on user's computer.
Technical teardown of xAI's Grok Build CLI analyzing what data is sent to xAI servers, with captured network artifacts and reproducible findings.
FlowOptimizer: deep unfolded flow-based framework using velocity fields for learned iterative optimization.
Technical deep-dive into LLM inference: how KV cache fills and tokens stream from prompt to first output word.
Using AI agents throughout development lifecycle: code generation, testing, review, and maintenance rather than generation alone.
LM-Polygraph: open-source uncertainty estimation toolkit for detecting LLM hallucinations and improving reliability in text generation.
MiMo-V2.5 model family optimization combining Hybrid Sliding Window Attention, sparse MoE, and multimodal encoders for efficient long-context inference.
Bug fixes enabling Qwen3.5-122B to run efficiently on Mac Studio, resolving cache leak causing multi-minute token latency.
AgentTransfer: open-source file transfer system for AI agents with identity, folders, and inter-agent discovery (one Go binary).
Mesh LLM: distributed inference framework using iroh for decentralized, privacy-preserving LLM deployment without vendor lock-in.
Analysis of software job posting growth correlating with agentic AI tools like Claude Code becoming widely available.
ContextOps: deterministic static analyzer for LLM context that detects redundancy, token waste, and imbalance without model calls.
Token Time: monitoring tool for tracking AI agent token usage analogous to screen time monitoring.
OpenThomas: open-source AI agent for weather forecasting and trading on prediction markets.
Anthropic removing stealth steganography codes from Claude Code designed to catch model theft by competitors.
BoundFlow: open-source control plane for LLM agents with cost caps, approval gates, and self-healing policies.
Analysis of how LLMs adapt their operational environments rather than undergo lifelong learning like humans.
Harmonic Contour Integration: distributed edge detection algorithm for RGB images using learned harmonic metrics.
MnesticDB fork of CozoDB adds bitemporal provenance tracking for AI agent memory, enabling auditable change history and belief state management.
OpenBenchmarks: open-source reproducible benchmarks for SaaS APIs designed to help AI agents evaluate and select tools.
TradingSpy: open-source local-first AI trading assistant with market analysis, strategy generation, and backtesting via Docker.
AI Disagreement Index tracks cross-model disagreement on tool recommendations across 8 models, measuring consistency rather than ranking.
Tool enabling Claude Code IDE to use multiple LLM providers including GPT, Kimi, and Grok.
Sqlsure provides deterministic semantic validation for AI-generated SQL queries, catching logic errors in joins and aggregations before execution.
AI Arcade benchmarks coding models building arcade games with identical prompts and frameworks, comparing output quality and functionality.
Open source browser-based tool for evaluating AI agent outputs using human labels and LLM judges. Local, no backend required.