opentax-engine

TaxHacker is a self-hosted AI accounting application for freelancers, independent developers, and small businesses. It processes receipt photos, invoice PDFs, bank statements, and other documents with a configurable LLM, extracting dates, merchants, amounts, taxes, product names, and line items into a structured, Excel-like database. It can categorize transactions, split invoice items into separate transactions, and use custom fields with user-defined prompts; supported model backends include OpenAI, Google Gemini, Mistral, and local OpenAI-compatible endpoints such as Ollama, LM Studio, vLLM, and LocalAI. The application detects document currencies and converts transactions using historical exchange rates from the transaction date, including cryptocurrency support, and provides filtering, multi-project organization, import/export, and custom categories. The repository describes the project as being in early development and advises using it at one's own risk.

An open-source tax-document page classifier built with TypeSafe Jev. It extracts text from PDF pages, then uses decision-model requests to classify each page by form and page kind, returning probability distributions, a form identifier, confidence scores, and a gate indicating whether the result meets the configured confidence threshold. Its generated JSON criteria file describes IRS forms using data extracted from IRS form PDFs; a second request handles schedules for selected corporate and foreign forms. The package includes PDF helpers based on Poppler, supports text-layer input, and requires a TypeSafe API key for the Jev backend. It does not train or host a model, is limited to English federal-form classification, requires OCR for scanned pages, and is distributed under Apache-2.0 with separate licensing for IRS-derived data.

Klaat Code is an open-source, terminal-native AI coding agent from KlaatAI. It reads and edits project files, runs shell commands, performs type checks after edits, and asks for permission before risky operations. It supports planning, sub-agents, MCP, hooks, and skills, and indexes projects into a code knowledge graph containing symbols, callers, callees, and semantic-search data for targeted exploration. Its hosted Klaatu-o1 router classifies each request and dispatches it across six model-cost tiers—nano, fast, code, reason, heavy, and titan—rather than using one model for every task. The CLI is a thin client to this service; the repository states that routing decisions, model health tracking, pricing, and the code-graph index run server-side. It supports providers and models including Claude, GPT, Gemini, and DeepSeek, and can be installed with npm.

agentacct is a local-first audit and observability tool for coding-agent work. It reads session logs from Claude Code, Codex, OpenCode, and Hermes, combines them with recorded tasks and test evidence, and produces a Work Receipt for each task covering commands run, files touched, tools used, time and token usage, cost, outcome, and evidence strength. Agent claims and machine verification are kept as separate axes, with verified status reserved for tasks whose live checks pass after the latest recorded work. The data is available through a macOS app, the live terminal dashboard launched with `agentacct tui`, and a local JSON API. State is stored in local files; the API listens only on loopback, and the project states that it has no login, cloud sync, or telemetry and does not request provider API keys.

Open Interpreter is a command-line coding agent optimized for open and low-cost models. It is a fork of OpenAI's Codex focused on emulating provider-specific agent harnesses; its Rust-native harnesses can be switched with `/harness`, while providers and models can be changed from its terminal interface. It supports native sandboxing on macOS, Linux, and Windows, MCP, skills, hooks, permissions, AGENTS.md instructions, and local configuration and session state under `~/.openinterpreter`. The agent can run as an Agent Client Protocol agent for compatible editors, speak the Codex exec protocol, and provide a one-line binary override for applications using the Codex SDK. Its built-in QA skill can test web applications through a real browser and native applications through trycua. The project is distributed for macOS, Linux, and Windows through shell or PowerShell installation commands and uses shared agent directories and protocols where available.