LocalRouter: Use free-tier across all providers
LocalRouter enables using free-tier APIs across multiple AI providers simultaneously.
LocalRouter enables using free-tier APIs across multiple AI providers simultaneously.
Genosis: cost optimization tool that learns traffic patterns to improve LLM token caching across providers.
AgentPass: Verification/validation framework for AI agents similar to credit checks for system reliability.
Anneal: model-agnostic LLM framework enabling memory, instruction adherence, and privacy constraints.
Multi-provider LLM framework with granular control and agent-to-agent deployment capabilities.
MCP-Manticore: Model Context Protocol tool enabling AI assistants to generate Manticore search queries.
E-book generator converting JSON to PDF for CJK content using Claude Code AI.
Running an open-weight LLM locally on an Apple Watch demonstrates edge deployment of open models on resource-constrained devices.
Open Agent Spec: YAML-based schema for defining AI agents as typed functions with input/output validation.
Platform concept for discovering, sharing, and interacting with AI agents as social media-style experience.
Video tutorial on MCP Gateway using Dune theme as example for structured prompt engineering.
Learning series rebuilding Claude Code-style coding agent in Swift, analyzing architectural patterns for effective agent design.
Discussion of option value measurement and relationship to generative AI and DORA metrics in 2025.
Rust library for multi-model LLM consensus: runs same prompt across models, iterative review/scoring rounds until convergence.
Sentinel is a tool for monitoring and preventing silent degradation in production AI systems through automated maintenance and prompt optimization.
Series on neuroscience-inspired memory architectures for AI agents. Part 1 covers predictive coding and agent learning/memory mechanisms.
Open-source AI agent for senior citizens providing accessible interface. Early-stage WIP seeking contributors.
LiteLLM PyPI supply chain attack compromised versions 1.82.7-1.82.8, stealing credentials from users of Cline, OpenHands, and other AI agent frameworks.
Configuration engine for managing Claude Code environment including MCP servers, hooks, and settings via YAML manifests.
Vercel replaced internal SaaS apps with AI-generated applications.
Technique to make LLMs verify their own source citations before output using AST parsing to detect hallucinations.
Physics professor uses Claude AI to complete theoretical physics research calculation end-to-end without manual intervention.
Swift CLI tool exposing Apple's built-in language model via FoundationModels framework. Single-file, ~540 lines, runs on Mac Neural Engine without API keys or dependencies.
Litmus enables recording and deterministic replay of AI agent executions including LLM and tool calls for debugging and testing, supports 14+ providers.
Clampd provides runtime security for AI agents by inspecting and blocking dangerous database queries, API calls, and shell commands in under 25ms.
Guide implementing language models from scratch in JAX with distributed training across multiple GPUs/TPUs, based on Stanford CS336.
Self-referential AI agents that optimize themselves for arbitrary computable tasks with experiment logging and code generation.
Vesper is an MCP-native tool enabling AI agents to autonomously search, download, clean, and export datasets from Kaggle, HuggingFace, and OpenML without human intervention.
IBM Bob is an AI development partner integrated into codebases with customizable modes for code assistance and quality improvements.
ToolTrust Scanner detects security vulnerabilities in MCP packages, including prompt injection and supply chain exploits, before AI agents execute them.
Google research on theoretically-grounded quantization algorithms for extreme LLM and vector search compression, reducing model size while maintaining performance.
Discussion on giving MCP servers code execution capability to handle complex data processing tasks like analyzing high-frequency wearable sensor streams without manual aggregation.
Claude Code agent with persistent long-term memory using tiered architecture, deployed as FastAPI/SQLite/sqlite-vec backend with scale-to-zero pricing.
Personal experience using AI as a design engineering tool for experimentation and iterative refinement in creative work.
Computational investigation of Language of Thought hypothesis using multi-agent reinforcement learning to study efficiency-interpretability trade-offs.
Theoretical framework relating physical principles like Landauer's principle to computational costs of maintaining symbolic interpretability in AI systems.
Session Risk Memory module for AI agents that extends stateless safety gates with trajectory-level authorization to prevent distributed attacks across multiple steps.
Modular AI agent architecture supporting multiple interaction protocols, dynamic tool integration, and multi-agent coordination without early commitment to fixed protocols.
Survey of workflow optimization techniques for LLM-based agent systems, covering design and optimization of agentic computation graphs with tool use and verification.
Research on arbitrage mechanisms in AI model markets where customers allocate inference budget across competing providers with different costs and capabilities.
Study of neural architectures exhibiting division between intuition and deliberation on reasoning tasks, relevant to multi-stage reasoning and world models in AI systems.
Research on LLM performance degradation when processing multiple document instances, analyzing how instance count and context length affect accuracy on aggregation tasks.
Research on the know-act gap in LLMs: models can identify flawed inputs discriminatively but fail to reflect this in generative responses, revealing a fundamental gap between recognition and generation.
Graph-aware late chunking method for RAG in biomedical literature, balancing retrieval precision with breadth across document sections.
Benchmark comparing 4 multi-agent LLM orchestration architectures for financial document processing with cost-accuracy tradeoffs.
MuQ-Eval: open-source per-sample quality metric for AI music generation using frozen MuQ-310M features and human correlation.
LH-Bench evaluation framework for long-horizon LLM agents on subjective enterprise tasks across multi-tool workflows.
CLiGNet uses clinical label-interaction graphs for medical specialty classification from transcriptions with corrected benchmark.
RWE-bench evaluates LLM agents on medical observational studies across MIMIC-IV database with focus on evidence integrity.
AgriPestDatabase dataset for training compact agricultural language models for pest management decision support.