PROJECT CONTEXT

CONTEXTHISTORY

PYTHONMCPSQLITEUV

Evolutionary memory infrastructure for AI agents. It tracks and evolves project context over time, allowing agents to "remember" architectural decisions across multiple sessions.

CORE PHILOSOPHY

By treating context as a living entity that needs to be distilled and archived, ContextHistory prevents information rot and agent amnesia in long-term projects.

SYSTEM ARCHITECTURE

AI Agent (Gemini/Claude)
  ↓ MCP Tools
Librarian (Parser/Distiller)
  ↓ manages
Memory Databases (Archeology/Orchestration)

KEY CAPABILITIES

• Context Archeology: Automatic recovery and injection of historical context.
• Semantic Distillation: Compression of verbose logs into actionable insights.
• Governance & Repair: Automated conflict resolution and sandbox restoration.

# Feature Tracker

PROJECT TIMELINE

2026-05-19

Agent Skill Integration: Specialized SKILL.md guidance for proactive memory utilization and pattern recognition.

2026-05-19

Cross-Agent Setup Utility: Automated configuration scripts for Claude Desktop and other MCP-compatible environments.

2026-05-19

Distributed Governance: governance.py for managing memory consistency and conflict resolution across multiple workspaces.

2026-05-18

Sandbox Repair Engine: Automated repair_sandbox.py for restoring broken project environments and configurations.

2026-05-11

Environment Validation: env_validator.py for ensuring runtime compatibility and dependency integrity.

2026-05-10

Context Archeology: Automatic recovery and injection of relevant historical context from previous sessions.

2026-05-10

Semantic Distillation: Automated compression of verbose logs into actionable architectural insights and handoff reports.

2026-05-10

Local MCP Server: Standards-compliant Model Context Protocol server for seamless integration with Gemini CLI, Claude, and Cursor.

2026-05-10

Multi-Database Orchestration: Isolated storage tiers for archeology, orchestration, and purgatory management.

UPCOMING

Visual Memory Dashboard: Flutter-based interface for browsing, searching, and managing project evolution timelines.

UPCOMING

Semantic Vector Search: Advanced retrieval using local embeddings to find history by intent rather than keywords.

UPCOMING

Cloud Sync & Backup: Optional secure backup and synchronization of project memories across devices.

UPCOMING

CONTEXTHISTORY

CORE PHILOSOPHY

SYSTEM ARCHITECTURE

KEY CAPABILITIES

Agent Skill Integration: Specialized SKILL.md guidance for proactive memory utilization and pattern recognition.

Cross-Agent Setup Utility: Automated configuration scripts for Claude Desktop and other MCP-compatible environments.

Distributed Governance: governance.py for managing memory consistency and conflict resolution across multiple workspaces.

Sandbox Repair Engine: Automated repair_sandbox.py for restoring broken project environments and configurations.

Environment Validation: env_validator.py for ensuring runtime compatibility and dependency integrity.

Context Archeology: Automatic recovery and injection of relevant historical context from previous sessions.

Semantic Distillation: Automated compression of verbose logs into actionable architectural insights and handoff reports.

Local MCP Server: Standards-compliant Model Context Protocol server for seamless integration with Gemini CLI, Claude, and Cursor.

Multi-Database Orchestration: Isolated storage tiers for archeology, orchestration, and purgatory management.

Visual Memory Dashboard: Flutter-based interface for browsing, searching, and managing project evolution timelines.

Semantic Vector Search: Advanced retrieval using local embeddings to find history by intent rather than keywords.

Cloud Sync & Backup: Optional secure backup and synchronization of project memories across devices.

Real-time Event Streaming: WebSocket-based event bus for live memory updates across connected agents.