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I 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
by cool_coder12 2mo ago
I 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.