I built a context orchestration layer that sits between AI coding agents and codebases — it classifies intent, plans multi-source retrieval, ranks context by five factors including graph centrality and semantic similarity, compresses to token budgets, detects when two agents touch the same file simultaneously, and maintains persistent memory across sessions so your agent remembers what it explored yesterday. 65% token reduction measured, not claimed. Open source. Built solo.
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⚡ tsecurity.de Intelligence
Context Gateway: The Missing Layer Between AI Agents and Your Codebase.
I built a context orchestration layer that sits between AI coding agents and codebases — it classifies intent, plans multi-source retrieval, ranks context by five factors including graph centrality and semantic similarity, compresses to t…
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IR-PLAYBOOK-RCE
HIGHSOC Incident Playbook: Remote Code Execution (RCE) Defense
1-Click Detection Engineering: Sigma & YARA Rules
SOC Readytitle: Detect Exploitation - Context Gateway: The Missing Layer Between AI Agents and Your Codebase.
id: 6e3ced75-0764-47fa-876b-0c6c8f8bef48
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
- https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
category: network_connection
product: any
detection:
selection:
CommandLine|contains:
- 'exploit'
condition: selection
falsepositives:
- Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
- attack.initial_accessrule CTI_Threat_Indicator {
meta:
author = "iShareStuff CTI Automated Detection Engine"
date = "2026-09-24"
description = "YARA Signature for "
strings:
$str = "Context Gateway: The Missing L" ascii wide
condition:
any of them
}
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