Memoir creates a continuously updated knowledge base that automatically ingests Git commits, chat logs, and documentation, rewriting docs in real time to keep information current. It offers a unified, time‑ordered feed with source filters and secure API access, giving engineering, sales, and support teams reliable context for both humans and AI agents.
Funding
Funding not disclosed
Founders
Product
Problem
Teams often struggle with fragmented documentation that quickly becomes outdated as code changes, conversations evolve, and new information is generated, leading to inconsistent knowledge for both human collaborators and AI agents.
Solution
Memoir provides a living knowledge base that continuously captures and synchronizes data from code commits, chat transcripts, and existing documentation. By automatically linking these signals, the platform updates relevant docs in real time, ensuring that the latest context is always available. It also maintains a unified, time‑ordered feed of captured memories that can be filtered by source, helping users trace recent learnings. Built‑in session key rotation and API authentication controls secure access for both humans and AI agents, creating a reliable context layer for downstream applications.
Target Audience
Primary users are engineering, sales, and support teams that need up‑to‑date internal knowledge, as well as developers building AI agents that require trustworthy contextual data.
Features
- Automatic ingestion of Git commits, chat logs, and documentation updates into a single knowledge store
- Real‑time doc rewriting that reflects code changes, eliminating stale information
- Unified live feed displaying captured memories chronologically with source filters
- Session key rotation and granular API authentication (API keys, OAuth 2.0) for secure access
- Rate‑limit enforcement per token to protect services from abuse
- Compatibility with existing documentation formats, allowing seamless integration into current workflows