Open Source

Open-source and self-hosted software, and how to actually run it. This category covers projects you can clone, inspect and host yourself: SEO toolkits, AI automation libraries, developer utilities, and the communities that keep them alive.

The posts here go past the README. They cover what a project does, what you need in place before you start, the installation steps in order, and the practical trade-offs against the commercial alternative — cost, control over your own data, how far you can customise it, and the level of support you can realistically expect.

Self-hosting is not free. It trades a subscription for your own time and infrastructure. Someone has to apply the updates, watch the logs, and be there when it breaks on a Friday evening. For a small team that cost is real, and it does not appear on any pricing page.

The questions worth asking before adopting a project are usually the same ones: how recently was it committed to, how many people can merge changes, what happens to your data if the maintainer walks away, and how hard is it to get back out again. Where the answers are known, the write-ups say so, and where a project is a single-maintainer effort, that is stated plainly rather than glossed over.

These write-ups are meant to make that trade explicit, so you can tell which projects are worth the effort and which are better left to a paid tool.

Claude for Financial Services: Open-Source Finance Agents

Claude for Financial Services: Open-Source Finance Agents

Anthropic has published Claude for Financial Services, an open-source repository of reference agents, skills, and data connectors for the financial-services workflows it sees most often: investment banking, equity research, private equity, and wealth management. The project lives at github.com/anthropics/financial-services, is written primarily in Python, and ships under the Apache License 2.0. What makes it unusual

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Hyperresearch: Claude Code Deep Research Pipeline

Hyperresearch: Claude Code Deep Research Pipeline

What Hyperresearch Actually Does to a Research Prompt Hyperresearch is an open-source, MIT-licensed Python deep research framework that turns Claude Code into a deep research agent. One prompt goes in, a tier-adaptive 16-step pipeline runs, and an adversarially-audited report comes out, with every fetched source stored in a persistent markdown vault indexed by SQLite. It

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Weave Router: Right-Sizing Inference Costs

Weave Router: Right-Sizing Inference Costs

Optimizing Agentic Workloads with Per-Request Model Routing Engineering teams using large language models face steep API costs when routing every prompt to frontier models by default. Analysis of production workloads shows that 60% to 70% of agentic requests consist of short, simple completions capable of running on low-cost alternatives at quality parity. Weave Router provides

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FreeLLMAPI: Self-Hosted Router Aggregates 34 Free LLM Providers

FreeLLMAPI: Self-Hosted Router Aggregates 34 Free LLM Providers

How FreeLLMAPI Turns Fragmented Free Tiers Into a Single OpenAI-Compatible Endpoint FreeLLMAPI solves the operational headache of juggling dozens of free LLM accounts by running a local router that pools 34 providers behind one /v1 endpoint. The project encrypts your provider keys at rest, tracks per-key rate limits in real time, and fails over automatically

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Ghidra: NSA's Free Reverse Engineering Framework

Ghidra: NSA’s Free Reverse Engineering Framework

Why Ghidra Rewrote the Rules for Open-Source Reverse Engineering Ghidra is a software reverse engineering framework created and maintained by the National Security Agency Research Directorate, released free under the Apache 2.0 license. The tool combines disassembly, decompilation, graphing, and scripting in one Java-based application that runs on Windows, macOS, and Linux. Because it was

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