agent-memory-os (yamantaka520/Agent-Memory-OS) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 12 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

agent-memory-os

Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.

→ yamantaka520/Agent-Memory-OS· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

yamantaka520

Source: Glama

Is this your MCP?

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 4 credentials: AGENT_MEMORY_SYNC_KEY, AGENT_MEMORY_WEB_TOKEN, AGENT_MEMORY_WEB_READONLY_TOKEN, AGENT_MEMORY_WEB_SYNC_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes12 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

memory_add

Store a durable memory that will survive across sessions.

memory_search

Recall memories relevant to a query, ranked best-first.

memory_context_pack

Build a prompt-ready, token-budgeted block of the most relevant memories.

memory_link

Create a directed association between two existing memories.

memory_recall_feedback

Report whether recalled memories were helpful, to tune future ranking.

memory_update

Update fields of an existing memory in place (keeps the same id).

memory_share

Change who can read an existing memory (share it, or make it private again).

memory_consolidate

Merge duplicate memories and synthesize concept memories (housekeeping).

memory_offload_context

Park the agent's working context as a restorable snapshot (offload).

memory_orchestrate_context

Assemble a rich, budget-aware context block for a task.

memory_snapshot_diff

Show what changed between a session's two most recent context snapshots.

memory_reload_context

Restore a previously offloaded working-context snapshot (reload).

// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configAGENT_MEMORY_AGENT_IDEach MCP server declares its identity with , so
configSHELL
configAGENT_MEMORY_HOME
🔐 secretAGENT_MEMORY_SYNC_KEY
configHERMES_HOME
configINVOCATION_ID
configAGENT_MEMORY_NODE_NAME
configAGENT_MEMORY_WEB_HOST
configAGENT_MEMORY_WEB_PORT
🔐 secretAGENT_MEMORY_WEB_TOKEN
🔐 secretAGENT_MEMORY_WEB_READONLY_TOKEN
🔐 secretAGENT_MEMORY_WEB_SYNC_TOKEN
configAGENT_MEMORY_ALLOW_TEAM_UPDATE
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

12/12 tools missing one or more hints — memory_add (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); memory_search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); memory_context_pack (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +9 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/yamantaka520/agent-memory-os)](https://m8ven.ai/mcp/yamantaka520/agent-memory-os)
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commit: 22d033b796b35971724d4d79498b04ed21f6bf8f
code hash: 73eaeb7a194395438494fd383d775d7222ae076b2243f4c252d54848aa3efe5f
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