Decispher launched a persistent memory layer for coding agents that cuts token usage by 38×, according to its LongMemEval benchmarks, by organizing context from GitHub, documentation, and engineering …
Ali introduced Decispher, a context and memory layer for coding agents, on Hacker News, reporting that its Memory Plane achieves 89% accuracy on LongMemEval's oracle split using GPT-4.1-mini, 81% on L…
Decispher, a new tool described on decispher.com, serves as a system of record for engineering decisions, automatically capturing decisions, conventions, constraints, and rationales from Slack, GitHub…
Decispher has launched a feature that allows users to transfer context from one AI agent to another mid-task, either via git branch recording or a copy-paste tool through its MCP integration. The bran…
A new CLI tool, Decispher, integrates with Grok AI agents to record architectural decisions, providing a persistent memory layer that captures the full trace of agent reasoning—from initial prompt to …
Decispher launches a system of record for engineering teams that captures decisions, conventions, and constraints from Slack, GitHub, and Jira conversations, serving them to both humans and AI agents.…
A developer built Decispher, a tool that captures engineering context from platforms like Slack, Jira, and GitHub to feed AI agents, reducing token usage by 35-65% and improving code consistency acros…