agentvault-memory
Overview
Unified memory layer for AI coding agents. Consolidates conversation history across tools into a searchable store, accessible by humans via Obsidian and by AI via MCP. Built on ChromaDB with Python CLI.
Capabilities
- • authentication support
- • database integration
- • github integration
- • mcp client integration
Best For
AgentVault Memory provides cross-agent memory persistence for Claude Code, OpenCode, and compatible tools. Features MCP server integration, Obsidian vault sync, and ChromaDB vector storage.
Decision Snapshot
Install
available
Usage
available
Config
2 strong hints
Capabilities
4 key capabilities detected
- • Source provenance count: 1
- • Last seen: 4/13/2026
- • Published: 4/10/2026
Installation / Setup
# Install && pip install agentvault-memory && # Initialize — auto-detects AI tools, Obsidian, installs MCP + auto-save hook && agentvault init
Usage
# Install && pip install agentvault-memory && # Initialize — auto-detects AI tools, Obsidian, installs MCP + auto-save hook && agentvault init
Features
- • authentication support
- • database integration
- • github integration
- • mcp client integration
Use Cases
- • Supports capabilities such as: authentication support; database integration; github integration.
- • Common usage themes: ai, memory, mcp, claude.
Supported Clients / Integrations
- • authentication support
- • database integration
- • github integration
- • mcp client integration
Compatibility Signals
- • Claude Desktop: mentions (Mentioned in approved metadata/docs evidence.)
- • GitHub: supports (Detected in parser config/capability hints.)
Prompt Examples
example
• # Install && pip install agentvault-memory && # Initialize — auto-detects AI tools, Obsidian, installs MCP + auto-save hook && agentvault init
Notes / Requirements
- • Primary language: Python
- • License: MIT
- • Parser coverage score: 1.00
- • Source feeds: PyPI RSS + JSON API
- • Topic cluster: data-infra
Official Links
Source Information
You can verify all information on this page against the source repository above.
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What To Do Next
Continue from this tool into a workflow and a learn guide to shorten implementation time.