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Godcoder

Local-first, open-source coding agent — bring your own LLM key

Godcoder

About Godcoder

Godcoder is a local-first, open-source coding agent for your desktop built with Rust and Tauri. Bring your own LLM key; your code stays on your machine and only ever leaves to the model provider you choose. The agent builds and manages its own harness.

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TokenScope
Github

TokenScope

Open-source token profiler for AI coding agents — see where your context budget goes

TokenScope bills itself as the first open-source token profiler for AI coding agents. It analyzes session logs, detects repeated content and bloated tool results, and shows you exactly where your context window budget is being spent — with concrete fixes and estimates. For anyone running Claude Code, Codex, or similar agents at scale, context bloat is a silent cost driver. TokenScope turns that invisible spend into a profile you can act on, trimming waste and keeping long agent sessions coherent and cheaper.

brain0
Github

brain0

The black box for AI-written code: provenance, drift detection, and MCP memory for coding agents

brain0 is a Rust-based "black box" for AI-written code. It builds a passive decision graph that links every commit back to the agent prompts behind it, giving you provenance, drift detection, and a DLP audit of exactly what your coding agents read and produced. It also ships MCP memory for coding agents plus signed, evidence-driven risk scoring. If you are shipping code written by Claude, Codex, or other agents, brain0 is a local-first way to answer "which prompt produced this change, and can I trust it?" — a governance layer builders increasingly need.

OpenScience
Github

OpenScience

The open-source AI workbench for scientific research

OpenScience is an open-source, agent-driven workbench built for scientific research. It packages a CLI, an LLM-backed "co-scientist" agent, and a set of research tools into a single TypeScript/Bun project so researchers and builders can run reproducible, AI-assisted investigations from the terminal. For AI builders, it is a strong reference architecture for domain-specific agents: it shows how to wire an LLM agent to real research workflows, structure tool use, and keep an experiment loop transparent and inspectable rather than a black box.

ShipGenAI
Github

ShipGenAI

50 production-ready GenAI SaaS apps you can brand and ship

ShipGenAI is an MIT-licensed collection of 50 production-ready generative-AI SaaS apps. Each comes with Stripe billing, Google OAuth, and one-click Vercel deploy — brand them, ship them, and keep 100% of the revenue.

Hello-Agents
Github

Hello-Agents

Build AI agent systems from scratch — a practical, production-grade tutorial

Hello-Agents is a comprehensive, hands-on tutorial that takes you from agent fundamentals to production-grade multi-agent applications. It covers LLM orchestration, RAG, LangChain patterns, and the architecture behind real-world agent systems.