decision-log

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.

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.

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.

SpecFirst é um framework documental em Markdown, distribuído como template, para governar projetos tocados por humanos e agentes de IA.

Your code knows what. Lore knows why. — CLI tool that captures the why behind code changes.

Open-source, self-hostable system of record for team decisions capture the why, review the outcome.

Reusable agent rules, templates, subagents, and skills for AI-assisted software delivery.

AI-ready project/product management toolkit for turning project chaos into structured prompts, docs, decisions, risks, and execution plans.

An append-only reasoning log for LLM-assisted research. Record the why behind decisions — with falsifiability conditions, confidence tags, and failure-first philosophy.

Branch-aware AI decision logging for development projects — AGENTS.md-canonical, link-integrity CI, skills.sh integration.

Capture decisions with full context, metadata, and confidence scores. Includes outcome tracking, notes, and CSV export.

Self-hosted database and API for AI project memory. Store decisions with receipts, query from any model

Real engineering decisions from shipping 3 Chrome extensions solo, plus a monthly free code review swap.

Persistent decision memory for any project. Karpathy's LLM Wiki, productized.

Session Continuity Protocal (SCP): a lightweight protocol to prevent multi-session AI “amnesia” by persisting project state (PMP), decisions (ADR-lite), and no-silent-changes guardrails for consistent, token-efficient continuity.

The why behind your code, as plain markdown in your repo. Agent skill to capture decisions, dashboard to browse them.

Agent Skill for searchable decision ledgers, rejected approaches, skill/CLI routing, and evidence-based self-reflection