agentdb
Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1
Not Scanned
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Vulnerabilities Found
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Available Documentation
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Features
Agentic MCP Risk Intelligence
MCPSafe checks risks unique to AI-connected MCP servers — prompt surfaces, model-controlled tools, credentials, filesystems, and network reachability.
The current scan did not find prompt-injection, agent command, exfiltration, unbounded filesystem, or MCP SSRF patterns.
Tool metadata can steer or hijack AI clients before a user invokes the tool.
Model-selected tool arguments can reach shell/process execution.
Tool context combines credential access with outbound network capability.
AI-controlled paths may access files outside the intended workspace.
AI-controlled URLs may reach local, metadata, or internal network services.
Vulnerabilities(1)
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[](https://mcpsafe.org/registry/agentdb)Server Information
- Source
- NPM
- Package
- agentdb
- Version
- 3.0.0-alpha.17
- Language
- typescript
- License
- MIT
- Added
- Jun 28, 2026
- Updated
- Jun 28, 2026