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What Is Decispher?
What is Decispher?
The decision layer between your team and every AI agent
Decispher is the system of record for engineering decisions. It automatically captures the decisions, conventions, constraints, and rationales your team produces every day from Slack, GitHub PRs, and docs, then serves that knowledge to both humans and AI agents the moment they need it.
Think of it as a senior engineer who has read every Slack message, every PR, and every architecture discussion your team has ever had, and is always available to answer "why did we do this?" with a cited, accurate answer in under a second.
decispher.com
- teiferer 2mo agoSo ... how does it work? Goes without saying, HN is a forum for discussions between tech folks, not an ad platform.
- cool_coder12 2mo agoI tried posting a long post with how it works but those were flagged (IDK WHY). Here’s an overview. Decispher is a continuous ingestion + retrieval system for engineering context: 1. Ingestion Slack: message + thread classification into constraint / convention / decision / ownership / plan / history GitHub: PR descriptions, review comments, linked issues, commit messages Docs / ADRs: markdown, Confluence, Notion (via connectors) Coding Session: Humans + AI Agents (codex, cursor, grok, VSCE) 2. Processing pipeline Entity + temporal + participant extraction Embedding + fusion into a knowledge graph (decisions are nodes with “why”, “supersedes”, “conflicts-with” edges) Conflict detection when a new context contradicts an older one that is still active 3. Serving layer Humans: search + “why did we decide X?” with citations back to the original Slack/PR message/Dashboard chat Agents: MCP server that injects the relevant decision context into Claude/Cursor/etc. so the agent gets context directly on demand based on task instead of static dump. There is also a open-source tool called Decision-guardian for decision enforcement at PR or CLI.