Apiary Memory
PYPI · APIARY-MEMORY
Local-first memory for AI agents. MCP locally, HTTP from the web. Agents propose; you confirm.
Available components
Last scanned (1 hour ago)
Scores higher than 82% of PyPI servers
Category Memory and Knowledge
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 → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to 330899935/apiary-memory). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 2 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability64
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1376 tokens (~229/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management30
- Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
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.
- 5 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.
- 3 Nov 26 +16
- Malware scan: unverified → pass ▲ security
- 2 Nov 26 −12
- Malware scan: pass → unverified ▼ security
- Stability: unverified → 0.20 ▲ functional
- Package version: 0.2.0 → 0.2.2 functional
- Package version: 0.2.0 → 0.2.1 functional
- 28 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 27 Oct 26 61
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 5 Nov 2026 · Analysed pypi/apiary-memory@0.2.2
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | 330899935/apiary-memory |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/330899935/apiary-memory/.github/workflows/publish.yml@refs/tags/v0.2.2 |
| Rekor log index | 3638182240 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:c7e0763b3d7217d1faf1d7112f91e366d378212771e41a4134fc81e352f16082 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
board Read the shared board ~151
Read the shared board, optionally only what arrived since your last read. Use it to poll for messages or hand-offs addressed to you. To post, use say. Pass the previous cursor as since so a poll returns only new messages instead of the whole board. Annotations declare this read-only; note that messages expire, so an empty result can mean nothing was posted or that earlier messages have aged out.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Maximum number of messages to return. Omit for the server default. |
| roster | boolean | – | Also return which agents are currently on duty. |
| since | string | – | Cursor from a previous call. Only messages newer than this cursor are returned; omit to read the current board. |
No output schema declared.
No examples provided.
get_context Get session context ~128
Pull a short digest of recent memory from the human's active threads and open tasks, to seed a conversation before they ask anything. Call this once at session start. For answering a specific question, use recall instead, since that searches all confirmed memory rather than only what is recent. For entries still awaiting approval, use manage with action list_pending. Annotations already declare this read-only; what they cannot say is that the digest reflects the most recent activity, so two calls minutes apart may differ.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Maximum number of context entries to return. Omit for the server default. |
No output schema declared.
No examples provided.
manage Manage stored memories ~157
Inspect or change the lifecycle of a specific stored memory, addressed by id or by queue state. Use list_pending to review what is awaiting the human's approval, and get_by_id to read one entry in full. forget soft-deletes and is reversible with restore; discard_pending permanently drops an entry that was never confirmed. To search confirmed memory by topic instead of by address, use recall. Except for discard_pending, every action here is reversible, which is why this is not marked destructive.
| Name | Type | Req | Description |
|---|---|---|---|
| action | string | yes | Which lifecycle operation to run. list_pending takes no id; the other four require one. |
| id | string | – | Target memory id. Required for forget, restore, get_by_id and discard_pending; ignored by list_pending. |
No output schema declared.
No examples provided.
propose Propose a memory ~234
Submit a memory for the human to approve. It lands in a pending queue and changes no confirmed memory. Use it when the human says to remember something, or when a decision is reached that will still matter later. Do not use it as a scratchpad for transient reasoning or for data you merely fetched. This tool cannot confirm its own writes: the entry stays pending until the human accepts it inside their own Hive, so a success response means queued, not stored. Supply client_id to make retries idempotent.
| Name | Type | Req | Description |
|---|---|---|---|
| client_id | string | – | Idempotency key. Submitting twice with the same key does not create a duplicate - use this when retrying after a timeout. |
| content | string | yes | The memory to store, written as a standalone fact that still makes sense without this conversation - include the who and the when. |
| tags | array | – | Free-form tags for later filtering. |
| title | string | – | Short label shown in the human's pending queue. Helps them decide quickly. |
| vault | string | – | Target vault name. Private vaults are rejected for cloud agents; local agents may target them. |
No output schema declared.
No examples provided.
recall Recall memory ~310
Search the human's confirmed memory by natural-language query and return the closest stored entries. Use this to find what was previously decided, recorded, or agreed. Do not use it at session start when you have no query yet - use get_context instead. Do not use it to review entries still awaiting approval - use manage with action list_pending. Annotations already declare this read-only, so this text covers what they cannot: results come from the confirmed store only, private vaults are omitted for agents not permitted to read them, and an empty list means no match rather than no memory.
| Name | Type | Req | Description |
|---|---|---|---|
| compact | boolean | – | Return trimmed records (id, title, snippet) instead of full bodies. Saves tokens when you only need to know whether something exists. |
| limit | integer | – | Maximum number of memories to return. Omit for the server default. |
| query | string | yes | Natural-language search text, e.g. 'what did we decide about the pricing page'. Ranked by how much of it the entry's words and character bigrams cover, plus a small recency nudge and a bonus when the… |
| vaults | array | – | Narrow the search to these vault names. Omit to search every vault this agent may read. Naming a vault the agent may not read is not an error - it returns nothing from that vault. |
No output schema declared.
No examples provided.
say Post to the shared board ~296
Post a message to the shared board so the human and other agents see what was done or what is being handed over. Use it when finishing a unit of work, or to hand work to another agent. Do not use it to report routine steps the human did not ask about - the human reads this board. To read what others have posted, use board. Identity comes from your credential, so a caller cannot post as another agent.
| Name | Type | Req | Description |
|---|---|---|---|
| kind | string | – | Card type. May be omitted when stage is given, in which case the kind is derived from the stage. |
| refs | array | – | References the reader may want: file paths, commit shas, or memory ids. |
| stage | string | – | Work event: starting, handing off, finished, or blocked. Prefixes the body so the board can be filtered and de-duplicated. |
| summary | string | yes | What happened, in one or two sentences. Write the outcome, not a log of steps. |
| task_id | string | – | Link this message to an existing task; the hand-off graph aggregates by it. |
| to | string | – | Who should see it: 'master' for the human (default), or another agent's id. |
| ttl | integer | – | Seconds after which the message stops being returned by board. Defaults to 24 hours, and is clamped to between 60 seconds and 30 days so no card is immortal. |
No output schema declared.
No examples provided.
How do I install the Apiary Memory MCP server?
Apiary Memory runs locally as a PyPI package, launched with uvx apiary-memory. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · apiary-memory
claude mcp add 330899935-apiary-memory -- uvx apiary-memory
What is the Apiary Memory MCP server?
Apiary Memory is an MCP server listed in the public MCP registry as io.github.330899935/apiary-memory. Local-first memory for AI agents. MCP locally, HTTP from the web. Agents propose; you confirm. This page covers its PyPI package (apiary-memory).
Is the Apiary Memory MCP server safe to use?
Apiary Memory scores 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Apiary Memory MCP server expose?
Apiary Memory exposes 6 tools: recall, propose, manage, get_context, say, board. Their descriptions and schemas cost roughly 1,276 tokens of context every time the server is loaded.
Is the Apiary Memory MCP server still maintained?
Apiary Memory is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Apiary Memory MCP server under?
Apiary Memory declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.