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Leiden graph library derived from principles, purely in Typescript
Securely synchronize files with your devices on iOS using Syncthing
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
A curated list of free AI models, APIs, and tools you can use without paying a cent.
An agentic skills framework & software development methodology that works.
The agent that grows with you
AI agents running research on single-GPU nanochat training automatically
Tiny and powerful JavaScript full-text search engine for browser and Node
An open-source database of AI models.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
Task and time-tracking management with calendar integration for Obsidian
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A native look and feel Obsidian theme crafted for the way you think.
🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence…
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Collection of leaked system prompts
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Open-source NotebookLM alternative. Research the open web with live data(Reddit, YT, IG, TikTok, Indeed, Google Search, Maps etc) through one platform, API or MCP server. Join our Discord: https://…
Work-in-progress successor to Dataview with a focus on UX and speed.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.