Memory Vault
OCI · GHCR.IO/MIHAIBUILDS/MEMORY-VAULT-MCP:1.2.1 · SCANNED AUG 22
Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security0
- Malware scan not yet available for this package.Unverified
- Known CVEs could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.Unverified
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 3 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability85
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 570 tokens (~81/item across 7 items; 5 tools + 2 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Unverified: 2 categories
Categories scored 0 because we could not verify them: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
oci · ghcr.io/mihaibuilds/memory-vault-mcp:1.2.1
claude mcp add mihaibuilds-memory-vault -- docker run --rm -i ghcr.io/mihaibuilds/memory-vault-mcp:1.2.1
codex mcp add mihaibuilds-memory-vault -- docker run --rm -i ghcr.io/mihaibuilds/memory-vault-mcp:1.2.1
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mihaibuilds-memory-vault": {
"type": "local",
"command": [
"docker",
"run",
"--rm",
"-i",
"ghcr.io/mihaibuilds/memory-vault-mcp:1.2.1"
],
"enabled": true
}
}
} mcp_servers:
mihaibuilds-memory-vault:
command: "docker"
args: ["run", "--rm", "-i", "ghcr.io/mihaibuilds/memory-vault-mcp:1.2.1"] {
"mcpServers": {
"mihaibuilds-memory-vault": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"ghcr.io/mihaibuilds/memory-vault-mcp:1.2.1"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 18 Aug 26 39
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 22 Aug 2026 · Analysed oci/ghcr.io/mihaibuilds/memory-vault-mcp:1.2.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | oci |
| Reason | No attestation published |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
forget ~66
Soft-delete a memory chunk by ID. The chunk is removed from search results but stays in the database for potential recovery. Sets importance to 0 and marks it in metadata. Args: chunk_id: The UUID of the chunk to forget.
| Name | Type | Req | Description |
|---|---|---|---|
| chunk_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
memory_status ~32
Get the current status of the memory system. Returns database health, chunk counts per space, and embedding model info.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
move_memory ~120
Move a stored memory into a different space. The memory keeps its content and embedding; only the space it belongs to changes. Its knowledge-graph entries are rebuilt in the target space so the graph and search agree about where it lives. The target space must already exist — use the dashboard or the API to create one first. Args: chunk_id: The UUID of the chunk to move. target_space: Name of the space to move it into.
| Name | Type | Req | Description |
|---|---|---|---|
| chunk_id | string | yes | – |
| target_space | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recall ~193
Search your memories for information relevant to a query. Returns chunks ranked by relevance using hybrid search (vector + full-text + RRF). Uses query enrichment (keyword extraction + variation) for better recall. Results are budgeted to fit within max_tokens to avoid flooding context. Args: query: The search query — a question, topic, or keyword phrase. spaces: Filter to specific memory spaces (e.g. ["default", "projects"]). If omitted, searches all spaces. since: Only return memories after this date (ISO format, e.g. "2025-01-01"). limit: Maximum number of results (default 10, max 50). max_tokens: Token budget for results (default 2000).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| max_tokens | integer | – | – |
| query | string | yes | – |
| since | – | – | – |
| spaces | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
remember ~128
Store a new memory in the system. The text is embedded and stored as a searchable chunk. Use this to save important information, decisions, or knowledge. Args: text: The text content to remember. space: Which memory space to store it in (default "default"). source: Where this memory comes from (default "mcp"). speaker: Who said/wrote this — "human" or "assistant" (default "human").
| Name | Type | Req | Description |
|---|---|---|---|
| source | string | – | – |
| space | string | – | – |
| speaker | string | – | – |
| text | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.