Knowledge Share
Technical articles, tutorials, and insights
Open Source Project #174: AirLLM — Run 70B Models on 4GB GPU, 405B on 8GB, and 2.8-Trillion-Parameter Kimi K3 on 3.7GB
AirLLM breaks the VRAM wall with layer-wise inference: splits transformer models into per-layer shards on disk, loads one layer at a time during inference, releases memory immediately after. No quantization, distillation, or pruning required. Runs 70B to 2.8T parameter models on consumer GPUs. Supports Llama 4, Qwen3, DeepSeek-V3/R1, Kimi K3. Optional 4bit/8bit block-wise compression for ~3x speedup. 25.8k Stars, Apache 2.0, pip install airllm.
Open Source Project #175: Buzz — Block Rebuilds Team Collaboration on Nostr, Where AI Agents Hold Their Own Cryptographic Identity
Block's open-source team workspace launched July 21, 2026, where humans and AI agents collaborate as equal members in shared channels. Built on Nostr: every agent holds its own cryptographic keypair — identity and history are portable across any Nostr-compatible system. Rust backend, Tauri desktop, supports Claude Code, Codex, Goose. YAML workflow engine, buzz-cli (JSON in/out, machine-first design for LLM tool calls), NIP-34 Git integration. 21.3k Stars, Apache 2.0, self-hostable.
Open Source Project #176: Better Harness — A Five-Dimension Workflow Evaluator for AI Coding Agents That Reviews the Loop, Not the Diff
QoderAI's open-source tool that converts project and session evidence into prioritized workflow improvements for AI coding agents. Evaluates the workflow around the agent — not final code quality — across five dimensions: task understanding, controlled execution, change validation, reliable delivery, and learning capture. Three independent evidence agents analyze in parallel; a lead agent synthesizes findings into HTML/Markdown/JSON reports. Supports Claude Code, Codex, GitHub Copilot, Cursor, Qwen Code. 1.5k Stars, MIT license.
Open Source Project #177: Apache Airflow — Workflow Orchestration in Python, the Standard Tool for Data Engineers
Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring workflows. Core concept: DAGs (Directed Acyclic Graphs) — define task dependencies in Python code, trigger by schedule or data events, monitor every step in the Web UI. Covers four major scenarios: ETL/ELT pipelines, ML training pipelines, scheduled reporting, and infrastructure automation. 46.4k Stars, Apache 2.0, version 3.3.0, 600+ built-in Operators and Providers.
Open Source Project #178: OptMem — 426-Token Prompt, Persistent Memory Across Sessions for AI Agents
VictorTaelin's persistent memory solution for AI agents. Single Python script, zero dependencies, append-only flat file plus binary tree summarization. Agents run memo wake at session start to load memories, memo note to record worth-keeping facts during work. No vector database required — plain text, fully inspectable. 1M memories wake in 0.03 seconds. The entire integration is one 426-token prompt block pasted into AGENTS.md or CLAUDE.md. 1.1k Stars.
Open Source Project #179: Node-RED — Visual Programming for Wiring Hardware, APIs, and Online Services Together
OpenJS Foundation's low-code, event-driven programming platform. Drag nodes onto a browser canvas, connect them with wires, and you have a complete data flow — from sensors to databases, MQTT to HTTP APIs. A de facto standard in industrial IoT with native support for OPC-UA, Modbus, and MQTT. Runs on Raspberry Pi, factory edge gateways, and cloud servers. Node-RED 5 ships Explorer panel, built-in dark theme, and a fully redesigned editor. 23.5k Stars, Apache 2.0.
Open Source Project #180: Omnigent — Databricks' Meta-Harness for Unified Control of Claude Code, Codex, and Cursor
AI coding agent meta-orchestration framework open-sourced by Databricks co-founder Matei Zaharia. Sits above Claude Code, Codex, Cursor and other tools to provide policy governance (token budgets, tool access limits), cloud sandboxing (Modal/E2B/Daytona/Kubernetes), real-time collaboration (session sharing/co-driving/forking), MLflow observability, and YAML-defined multi-agent orchestration. The Kubernetes analogy for AI agents. 8.1k Stars, Apache 2.0, Alpha stage.
Open Source Project #181: Open Code Review — Alibaba's Battle-Tested AI Code Review Tool, 1/9 the Tokens of a General Agent
Alibaba open-sources its internal AI code review tool, battle-tested across tens of thousands of engineers and millions of detected defects before public release. Core: a hybrid architecture pairing deterministic engineering pipelines (file selection, bundling, rule matching) with an LLM agent (dynamic judgment). Same underlying model as Claude Code — higher precision and F1, roughly 1/9 the token usage. Supports review (git diff) and scan (full-file audit) modes, delegation mode for your own agent, and GitHub Actions / GitLab CI / Gerrit integration. 18.1k Stars, Apache 2.0.
Open Source Project #182: Graphify — Turn Your Entire Codebase into a Queryable Knowledge Graph for AI Coding Assistants
YC-backed open-source tool that uses tree-sitter AST to parse code locally and an optional LLM backend to process docs, PDFs, images, and video — building everything into one queryable knowledge graph. AI assistants traverse the graph instead of grepping. Every edge is tagged EXTRACTED/INFERRED/AMBIGUOUS. Incremental updates patch only changed files in ~0.8 seconds. Supports Claude Code, Cursor, Codex, and 15+ other AI tools via MCP. Optional Neo4j/FalkorDB backends. 101k Stars, Apache-2.0 + MIT.
Open Source Project #183: Ontology Playground — Microsoft's Zero-Backend Visual Ontology Learning Tool
Microsoft's open-source pure-static web app for learning ontology design and Microsoft Fabric IQ. Visual drag-and-drop ontology designer, RDF/OWL import/export, six industry domain pre-built ontologies, nine structured courses with interactive quizzes, and a one-line embeddable widget. Zero server dependency — runs directly in the browser, deployable to GitHub Pages or Azure Static Web Apps. React 19 + TypeScript + Cytoscape.js. 2.3k Stars, MIT license.
Open Source Project #184: MiroFish — Shanda's Swarm Intelligence Prediction Engine That Builds Entire Digital Worlds to Forecast the Future
Open-source multi-agent simulation prediction platform backed by Shanda Group. Upload seed materials (news, reports, stories), describe a prediction goal, and MiroFish uses GraphRAG to build a knowledge graph, generates thousands of AI agents with independent personalities and long-term memory, simulates social interaction in a parallel digital world, and outputs a structured prediction report. Verified use cases: public opinion simulation, literary ending inference, and upcoming financial/political forecasting. Released December 2025, topped GitHub Global Trending in March 2026. 69.8k Stars, AGPL-3.0.
Open Source Project #185: Orca — YC-Backed Agent Development Environment for Running a Fleet of Parallel AI Coding Agents
stablyai's open-source Agent Development Environment (ADE) built to manage a fleet of AI coding agents. Core features: parallel worktrees (fan one task to multiple agents simultaneously, compare outputs, merge the winner), mobile companion for remote monitoring, WebGL terminals with infinite splits, Design Mode (click live UI elements to inject HTML/CSS/screenshots into agent context), SSH worktrees for remote execution, and inline diff annotation for human-in-the-loop review. Supports Claude Code, Codex, OpenCode, Cursor, Grok, and any CLI agent. Electron + TypeScript desktop app for macOS/Windows/Linux with iOS/Android mobile clients. 36.2k Stars, MIT.