Tribal knowledge context
Dexicon indexes agent sessions, docs, and SDLC data to surface relevant context and enable memory for your team's AI coding agents.
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Agent sessions, docs, and tribal knowledge extracted
into a living knowledge graph for all your coding agents.
Surface past fixes from agent memory
Past fixes, with full context, resurface automatically when matching issues appear.
Bring your context with you. Connect with Cursor, Claude Code, Codex, or any AI coding assistant through MCP.
Knowlege that updates with every sync
Dexicon extracts insights from your synced sessions to ground your coding agent in up-to-date knowledge.
Give agents acess to tribal knowledge
Tribal engineering knowledge becomes searchable, reusable context for the whole team and their agents.
Measure AI coding usage
across your team
Dexicon reports token usage, developer usage, and agent metrics with full visibility.
Engineering teams optimize AI usage and ship faster.
Token efficiency
Cut redundant generations by sharing shared learnings across workflows.
Faster cycles
Reduce time from issue to fix with reusable history.
Coding Agent Alignment
Keep agents aligned to approved patterns and standards.
↓ Tokens
Lower token usage.
Reduce redundant prompts by reusing context and indexed reasoning across sessions.
↑ Speed
Faster developer velocity
Spend less time searching docs and re-prompting. Ship production code faster.
100%
AI usage visibility
Maintain full traceability across prompts, sessions, and tool interactions.
Impact Metrics
Upgrade from opaque AI usage to
complete operational clarity.
Add tribal context and memory to your agentic coding workflows - for free.
Speak with our team to see how Dexicon improves your coding agent today.