io.github.writerslogic/cogmem
PYPI · COGMEM · SCANNED SEP 20
A self-improving, verifiable memory layer for AI coding agents.
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 → 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 native-build step with no shell scripting around it. View diagnostics → Pass
- 0 of 5 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency10
- Repository check failed: the declared repository URL redirects; it must resolve directly. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 68 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability87
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 746 tokens (~82/item across 9 items; 8 tools + 1 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management83
- Stability observed for 25 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
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.writerslogic/cogmem MCP server?
io.github.writerslogic/cogmem runs locally as a PyPI package, launched with uvx cogmem. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · cogmem
claude mcp add writerslogic-cogmem -- uvx cogmem
{
"mcpServers": {
"writerslogic-cogmem": {
"command": "uvx",
"args": [
"cogmem"
]
}
}
} {
"servers": {
"writerslogic-cogmem": {
"command": "uvx",
"args": [
"cogmem"
]
}
}
} codex mcp add writerslogic-cogmem -- uvx cogmem
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"writerslogic-cogmem": {
"type": "local",
"command": [
"uvx",
"cogmem"
],
"enabled": true
}
}
} openclaw mcp add writerslogic-cogmem --command uvx --arg cogmem
mcp_servers:
writerslogic-cogmem:
command: "uvx"
args: ["cogmem"] {
"McpServers": {
"writerslogic-cogmem": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"cogmem"
]
}
}
} assistant mcp add writerslogic-cogmem -t stdio -c uvx -a cogmem
{
"mcpServers": {
"writerslogic-cogmem": {
"command": "uvx",
"args": [
"cogmem"
]
}
}
} 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.
- 19 Sept 26 −3
- Stability: pass → 0.80 functional
- 18 Sept 26 +1
- Stability: 0.97 → pass security
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 −3
- Stability: pass → 0.83 functional
- 12 Sept 26 +1
- Stability: 0.97 → pass security
- 10 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 8 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
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 20 Sept 2026 · Analysed pypi/cogmem@2.7.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
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 5 packages
| Packages resolved | 5 |
|---|---|
| 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 →
note Note a Memory ~112
Record a decision, finding, or correction into memory mid-task so it can be recalled in future sessions. Returns {ok, noted}. The text is captured as a candidate and deduped against existing knowledge by the background pipeline. Use when the user states a durable preference or you learn something worth keeping; not for transient chatter. To retrieve memories use `recall`.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The lesson to remember, as one self-contained sentence, e.g. 'The user prefers Conventional Commits with no body.' |
| Name | Type | Req | Description |
|---|---|---|---|
| noted | string | – | – |
| ok | boolean | yes | – |
No examples provided.
progress Cross-Project Progress ~54
Summarize momentum, stalls, and dependencies across the user's projects as a narrative. Returns {narrative}. Use to orient at session start or when the user asks 'where are we'. Read-only synthesis of project-state memory.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| narrative | string | yes | – |
No examples provided.
recall Recall Memories ~172
Surface the most relevant past lessons, decisions, and rules for a task, ranked by semantic similarity. Returns {count, memories:[{id, scope, score, text}]}, where score is rerank confidence (higher = more relevant). Use at the start of a task or whenever unsure how the user wants something done, instead of guessing. Read-only — to save a new memory use `note`.
| Name | Type | Req | Description |
|---|---|---|---|
| k | integer | – | Maximum number of memories to return (1-20). Defaults to 5. |
| query | string | yes | Natural-language description of the task or question to find lessons for, e.g. 'how does the user want commit messages formatted'. |
| scope | string | – | Optional domain filter, e.g. 'rust', 'python', 'universal'. Omit to search every scope. |
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | yes | – |
| memories | array | yes | – |
No examples provided.
receipt Memory Inclusion Receipt ~103
Produce an RFC 6962-style cryptographic proof that a specific memory is committed in the signed transparency log. Returns the inclusion receipt (leaf index, audit path, tree size, signed root). Use to prove to a third party that a memory existed and was logged. Requires the memory's id — get ids from `recall`.
| Name | Type | Req | Description |
|---|---|---|---|
| memory_id | string | yes | The id of the memory to prove inclusion for, as returned in a recall result's `id` field. |
Structured output declared, but exposes no named fields.
No examples provided.
review_pending List Pending Approvals ~61
List always-load (Layer-A) rules awaiting human approval before they enter the always-on context. Returns {pending}. Use to see what the system wants to promote. Approval itself is a human action via the `cogmem review` CLI, not this tool.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| pending | string | yes | – |
No examples provided.
status Memory System Status ~90
Report the health of the verifiable-memory system. Returns {agentDid, logEntries, logIntegrity, merkleRoot} — the agent's did:key identity, transparency-log size, its integrity ('ok' or a reason), and the current Merkle root. Use for a fast health/identity check. For a full per-memory credential audit use `verify`; for the signed log commitment use `tree_head`.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| agentDid | string | yes | – |
| logEntries | integer | – | – |
| logIntegrity | string | yes | – |
| merkleRoot | string | yes | – |
No examples provided.
tree_head Signed Tree Head ~66
Return the current signed Merkle tree head — the log's tamper-evident commitment to every memory so far. Returns {rootHash, treeSize, signature, ...}. Use as the anchor a verifier checks inclusion receipts against, or to detect log forks. Pair with `receipt`.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| rootHash | string | – | – |
| treeSize | integer | – | – |
No examples provided.
verify Verify All Memories ~74
Cryptographically verify every stored memory's W3C Verifiable Credential and the integrity of the hash-chained transparency log. Returns a summary of memories checked, how many are valid, and any failure reasons. Use to detect tampered or poisoned memories before trusting them. This is the deep audit; `status` is the lightweight check.
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
What is the io.github.writerslogic/cogmem MCP server?
io.github.writerslogic/cogmem is an MCP server listed in the public MCP registry as io.github.writerslogic/cogmem. A self-improving, verifiable memory layer for AI coding agents. This page covers its PyPI package (cogmem).
Is the io.github.writerslogic/cogmem MCP server safe to use?
io.github.writerslogic/cogmem scores 77 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. 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 io.github.writerslogic/cogmem MCP server expose?
io.github.writerslogic/cogmem exposes 8 tools: recall, note, status, verify, receipt, and 3 more. Their descriptions and schemas cost roughly 732 tokens of context every time the server is loaded.
Is the io.github.writerslogic/cogmem MCP server still maintained?
io.github.writerslogic/cogmem is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.