open-source

Pylon is a full-stack TypeScript framework built for coding agents, combining schema, policies, live queries, auth, storage, jobs, and deploy in one runtime. The page shows a clear product, docs and CLI entry points, open-source positioning, and concrete examples of how agents can scaffold, inspect, and ship apps.

A local-first tool that mines reusable skills from coding agent transcripts and turns approved patterns into SKILL.md files for future sessions.

A research prototype for a BitTorrent-style mesh where coding agents share idle capacity, delegate tasks, and settle credits across peers.

Open-source sandboxing and secure file system for agent code execution, with built-in job queues, execution history, retries, Docker isolation, and optional gVisor hardening.

Local-first desktop LLM wiki that hydrates notes, PDFs, emails, and docs into Markdown entries, then retrieves them with keyword search and link traversal instead of embeddings or a vector DB.

An open-source mixture-of-agents server that fans prompts out to multiple LLMs, judges the responses, and synthesizes a final answer. It exposes an OpenAI-compatible API and also includes an agentic coding harness plus integrations for tools like Claude Code, aider, Continue, LangChain, and Pi.

A Dockerized home-internet latency monitor that tracks ping, traceroute, jitter, packet loss, and WAN load, then adds AI-written root-cause notes on a Grafana dashboard.

Runtime safety net for LLM agents that detects runaway token growth, classifies failure patterns, and suggests fixes without extra LLM calls. The project includes a Rust core, Python SDK, examples, benchmarks, and benchmark claims across multiple models and runs.

OpenRig is a local control plane for multi-agent coding topologies. It uses a YAML-based rig spec to boot, inspect, snapshot, restore, and visualize agent fleets, with examples like product teams, adversarial review, research clusters, and secrets management.

Open-source memory SDK for AI agents with persistent cross-session memory, graph relationships, semantic search, and AI-powered memory processing. Offers both self-hosted and cloud modes, plus MCP support for tools like Claude Code.

Deterministic, MCP-first browser automation runtime for coding agents. It exposes a public stdio MCP server with 50 browser tools, direct CDP control, and no API key or LLM fallback in the core path.

Open-source themed design systems for shadcn/ui, with 29 style variants and one-command installs through a shadcn registry.

Open-source AI coding agent focused on context curation and lower API cost. The repo describes hash-anchored edits, AST-based refactoring, parallel operations, and benchmark results against other agents.

DAC is a dashboard-as-code CLI and framework for building interactive dashboards from YAML and TSX, with a built-in semantic layer and an AI agent workflow for updating dashboards.

Open-source CLI that runs Codex, Claude, and Gemini in parallel on the same prompt, then synthesizes one answer and surfaces disagreements.

Itsuki is an open-source memory layer for AI tools and agents. It offers a single key and structured, source-linked memories across assistants, coding agents, workflows, SDKs, REST, and MCP integrations.

An open robot football league where frontier AI models and open-source club code manage simulated Unitree G1 humanoids in daily matches, with live streams, match logs, and a public engine for teams to join.

오픈소스 AI 인프라 산정 도구로, 보유 GPU나 목표 워크로드를 입력해 실행 가능한 모델, 필요 장비, 배치안, TCO 비교까지 계산합니다. LLM, RAG, VLM, 아바타, 음성 워크로드를 다루며 한국어/영어 UI와 여러 추천 경로를 제공합니다.

A CLI that turns websites into compact, numbered views for AI agents so they can browse pages with far fewer tokens. It includes install steps, command examples, supported sites, and benchmark notes.

Local-first, open-source terminal for managing Claude Code and Codex sessions with auto-resume, quick actions, worktrees, and session transfer tools.

Open-source, self-hosted monitoring for how a brand appears in AI assistant answers. It tracks mentions across models, generates prompt variations, trends visibility over time, and benchmarks competitors.

Open-source test runner for AI agent skills and multi-step workflows. It runs the same scenario across supported harnesses, captures evidence from tools, commands, files, and transcripts, and lets you assert on the observed behavior.

Open-source, plan-driven multi-agent coding loop for repositories, with separate planner, coder, and reviewer roles that can use different providers and models.

Browser-local tool that checks AI agent instructions for missing written guardrails against 23 public controls. It supports pasted prompts, local files, and public GitHub files, with CLI and GitHub Action options for recurring checks.