sigmap vs selvedge
sigmap: SigMap builds a deterministic, auditable signature-and-evidence map of your codebase without LLM calls or embeddings. It allows AI agents, CI, and reviewers to trust and verify code references, significantly reducing token usage and improving task success rates.; selvedge: Selvedge provides long-term memory for AI-coded codebases, capturing the 'why' behind agent-made changes directly from the agent's context. It acts as a local MCP server, logging structured events to a SQLite database, allowing developers to query the reasoning for code modifications years later.
TL;DR
Grounding AI agents with trustworthy, auditable code context to prevent hallucination and ensure factual accuracy.
Understanding the historical 'why' behind schema decisions and migrations in long-term AI-coded projects.
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