Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.
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Updated
Sep 8, 2026 - Python
Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.
Git-native decision memory for Claude Code, Codex, Cursor and other coding agents. Preserve constraints and rejected alternatives; surface only the decisions still in force.
Keep your team's AI coding agents coordinated — without sharing source code.
The knowledge your codebase doesn't contain — a Claude Code skill that records project state, decisions, and dead ends so a new session resumes instead of re-reading the codebase.
SpecFirst é um framework documental em Markdown, distribuído como template, para governar projetos tocados por humanos e agentes de IA.
Open-source, self-hostable system of record for team decisions capture the why, review the outcome.
Capture the why behind AI-generated code. Generate decision logs from Claude Code sessions for PR reviews.
Local-first workflow protocol for non-coding knowledge work, decision tracking, and resumable project state.
An append-only ledger that records why decisions were made.
A Claude Code Harness that maintains the brain of your project i.e. decisions, flow, and TODOs - so any agent gets up to speed fast and helps you keep track of the code flow
Your code knows what. Lore knows why. — CLI tool that captures the why behind code changes.
Put the "why" in version control. git why records the reason behind each commit as native git trailers — it survives clone/push and shows in git log.
Keep the decision. Keep the why. Engineering decisions in Markdown: a Rust CLI for people and AI agents, with a local dashboard.
Archived/reference-only portable AI-agent governance template; active implementation: pm-dispatch.
AI-ready project/product management toolkit for turning project chaos into structured prompts, docs, decisions, risks, and execution plans.
Capture decisions with full context, metadata, and confidence scores. Includes outcome tracking, notes, and CSV export.
An append-only reasoning log for LLM-assisted research. Record the why behind decisions — with falsifiability conditions, confidence tags, and failure-first philosophy.
this is my development log for hidden-gem-project
Self-hosted database and API for AI project memory. Store decisions with receipts, query from any model
To associate your repository with the decision-log topic, visit your repo's landing page and select "manage topics."