Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.
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Updated
Jul 5, 2026 - Python
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.
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
Real engineering decisions from shipping 3 Chrome extensions solo, plus a monthly free code review swap.
Self-hosted database and API for AI project memory. Store decisions with receipts, query from any model
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.
AI-ready project/product management toolkit for turning project chaos into structured prompts, docs, decisions, risks, and execution plans.
Open-source, self-hostable system of record for team decisions capture the why, review the outcome.
Capture decisions with full context, metadata, and confidence scores. Includes outcome tracking, notes, and CSV export.
Decode technical decisions into plain language. AI drafts the why — the engineer confirms in one sentence.
Toki Toki no Mi — an MCP server: a persistent causality ledger. Part of the Grand Line stack.
Lightweight CLI for keeping a per-repo logbook— one append-only logbook.md in your repo captures the why behind each code choice
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).
Add a description, image, and links to the decision-log topic page so that developers can more easily learn about it.
To associate your repository with the decision-log topic, visit your repo's landing page and select "manage topics."