Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.

Capture the why behind AI-generated code. Generate decision logs from Claude Code sessions for PR reviews.

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

An append-only ledger that records why decisions were made.

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.

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

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

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

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.

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.

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

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

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

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

Toki Toki no Mi — an MCP server: a persistent causality ledger. Part of the Grand Line stack.

AI assumption firewall for MCP agents — intercepts risky decisions, checks past decisions, detects contradictions, and gates human approval via Telegram or Slack.

Decision-first experiment tracker for product teams (hypothesis → decision → learning).