aivectormemory
aivectormemory is a local, MCP-compatible Python server that provides persistent cross-session “memory” for AI coding IDE workflows. It stores project/user notes as vector embeddings (ONNX) in a local SQLite+sqlite-vec database and exposes MCP tools to remember, recall (semantic search), forget, and manage session/task/issue state. It also runs a local web dashboard for browsing and administration.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security posture is partially documented: it is local-first (no API keys for embeddings/inference per README) and stores data locally. However, the web dashboard explicitly uses default username/password (admin/admin123) and does not clearly specify TLS/network binding behavior in the provided README. MCP tool auth/scopes are not clearly documented; a “token authentication protection” is mentioned for the dashboard but details are missing. Dependencies include onnxruntime, huggingface-hub, jieba, sqlite-vec; no CVE status is provided.
⚡ Reliability
Best When
You want a local/on-device MCP memory layer for AI coding assistants that you control end-to-end (IDE + local server + local database).
Avoid When
You need enterprise-grade auth guarantees, externally hosted service guarantees, or you cannot safely expose a local dashboard to untrusted networks/users.
Use Cases
- • Persistent IDE memory for coding assistants (pitfalls, decisions, conventions) across sessions
- • Semantic recall of prior project knowledge even with different wording
- • Workflow automation via task/issue tracking persisted between IDE sessions
- • Managing and curating memories via a local web dashboard
- • Reducing token/context injection by retrieving only relevant memories on-demand
Not For
- • Multi-tenant cloud deployments where you can’t guarantee local data isolation
- • Organizations requiring formally documented security posture, threat model, and compliance evidence
- • Use cases needing strong, standardized REST/GraphQL APIs with published schemas and guarantees
Interface
Authentication
README describes web dashboard credentials and “token authentication protection,” but does not document API auth for the MCP tools beyond local operation.
Pricing
Local/self-hosted library + local web server; no pricing model indicated.
Agent Metadata
Known Gotchas
- ⚠ Tool outputs/IDs are not specified in enough detail to design robust retry/idempotency semantics.
- ⚠ Task tracking and status/blocking behavior depend on “Steering rules” generated during install; agent behavior may break if hooks/rules are not correctly configured per IDE.
- ⚠ Web dashboard default credentials (admin/admin123) may pose security risk if exposed beyond localhost or not changed immediately.
Alternatives
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Scores are editorial opinions as of 2026-03-30.