CROSS-AGENT MEMORY

Unified Context,
Infinite Agents

Persistent knowledge layer that enables any AI agent to understand and work with your codebase instantly, without relearning.

Universal Agent Compatibility

🧠 Shared Knowledge Base

All agents access the same semantic understanding of your codebase. No redundant analysis, no conflicting interpretations, just unified knowledge.

πŸ”„ Context Persistence

Knowledge persists across sessions, tools, and time. Every interaction builds on previous understanding, creating compound intelligence.

Memory Architecture

πŸ—‚οΈ

Semantic Index

Complete understanding of code relationships, dependencies, and purpose

πŸ“œ

Decision History

Record of all changes, their rationale, and outcomes for future reference

πŸ“š

Pattern Library

Accumulated knowledge of coding patterns and best practices in your codebase

🀝

Agent Coordination

Shared task queue and progress tracking across all active agents

πŸͺŸ

Context Windows

Optimized memory chunks for efficient agent consumption

πŸ•ΈοΈ

Knowledge Graph

Visual representation of code relationships and dependencies

Works With Any AI Agent

Code Assistants

GitHub CopilotCursorCodeiumTabNine

Chat Interfaces

ChatGPTClaudeGeminiLocal LLMs

Specialized Tools

DependabotSnykCodeQLSonarQube

Custom Agents

Internal ToolsProprietary AIWorkflow AutomationCI/CD Bots

Memory Synchronization Process

1

Agent Request

Any AI agent queries the codebase through standard interfaces

2

Memory Retrieval

Relevant context is instantly retrieved from the persistent memory layer

3

Context Injection

Agent receives pre-processed, optimized context for immediate understanding

4

Action Recording

All agent actions and learnings are stored back into shared memory

Transformative Benefits

100%
Context Reuse
10x
Faster Onboarding
∞
Agent Support
0ms
Context Switch

Enable Universal Agent Intelligence

Give every AI agent instant, perfect understanding of your codebase.

Back to Home