memgit
PYPI · MEMGIT · 2 COMPONENTS
Git for AI memory — version-controlled, searchable context that persists across sessions
Available components
Last scanned (19 hours ago)
Scores higher than 63% 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 Security50
- Malware scan not yet available for this package.Unverified
- 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
- 1 of 32 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- 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 27 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability61
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 3043 tokens (~434/item across 7 items; 7 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 Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage99
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 97% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 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
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.
- 3 Nov 26 −14
- Malware scan: pass → unverified ▼ security
- Stability: 0.97 → pass security
- 2 Nov 26 −1
- Stability: pass → 0.97 functional
- 31 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 30 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 27 Oct 26 +1
- Stability: 0.97 → pass security
- 26 Oct 26 −1
- Stability: pass → 0.97 functional
- 18 Oct 26 +16
- Malware scan: unverified → pass ▲ security
- Stability: 0.97 → pass security
- 17 Oct 26 −15
- Malware scan: pass → unverified ▼ security
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 4 Nov 2026 · Analysed pypi/memgit@0.13.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
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 32 packages
| Packages resolved | 32 |
|---|---|
| Stale | 1 |
| 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 →
get_checkpoint_log ~60
Show recent checkpoint history for the memory store — when memories were last synced and what changed. CALL THIS: to understand how fresh the memory store is, or to debug sync issues.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Max checkpoints to return (default 5) |
No output schema declared.
No examples provided.
get_memory ~99
Fetch a single memory by its exact slug identifier. CALL THIS: when search_memories returned a relevant slug and you need the full details (why, when to apply, tags). Slugs are kebab-case identifiers like 'ig-pipeline-no-fallback' or 'trading-capital-track'.
| Name | Type | Req | Description |
|---|---|---|---|
| format | string | – | – |
| slug | string | yes | The kebab-case memory slug (e.g. 'ig-pipeline-no-fallback') |
No output schema declared.
No examples provided.
list_memories ~308
List all memories, returning slug + rule for each. CALL THIS: to browse what's stored, discover memory slugs for get_memory, or audit the full memory set. For finding relevant memories on a topic, use search_memories instead — it is faster and ranked.
| Name | Type | Req | Description |
|---|---|---|---|
| min_priority | integer | – | Only return memories at or above this priority. 1=low (all memories), 2=medium+, 3=critical only. Default 1. |
| type_filter | string | – | fb=feedback (corrections, preferences, how the user likes to work), us=user (who the user is, their role, expertise, goals), pj=project (active projects, goals, decisions, deadlines), rf=reference (p… |
No output schema declared.
No examples provided.
resume_session ~208
Get a compact 'where we left off' digest: the status board (live entity state from tracker memories), the last checkpoints (most recent actions taken), staged work in flight, recently updated memories, critical rules that always apply, and a memory index of topics with counts. This is the authoritative record of what happened in previous sessions. Use your judgment about when the current request depends on that record: any ask that presupposes shared history — continuing work, referencing 'pending' or 'recent' things, resuming after a break — can't be answered correctly from the conversation or open files alone, however plausible they look. An open file shows what the user is looking at; this shows what was actually done last. Cheap to call, so prefer checking over assuming; skip it only when the request is clearly self-contained.
| Name | Type | Req | Description |
|---|---|---|---|
| checkpoints | integer | – | How many recent checkpoints to include (default 5) |
| recent | integer | – | How many recently updated memories to include (default 10) |
No output schema declared.
No examples provided.
save_memory ~868
Persist a new fact, rule, preference, or lesson to the memory store for future sessions. CALL THIS: whenever you learn something the user would want you to remember next time — a preference they stated, a rule they corrected you on, a project decision, a lesson from a mistake, or a reference to an external system. Do NOT save ephemeral or task-specific details; save durable facts only. If a memory with the same slug already exists, this updates it — that is exactly how 'tr' trackers are meant to be updated when an entity's state changes. When this memory CORRECTS or replaces existing ones, pass their slugs in 'supersedes' instead of writing 'CORRECTED:' prefixes or leaving stale duplicates.
| Name | Type | Req | Description |
|---|---|---|---|
| body | string | – | Full long-form detail behind the rule — state, decisions, code paths, context. Multi-line markdown welcome; this is stored losslessly and returned by get_memory. Use it instead of cramming detail int… |
| priority | integer | – | 1=low (background context), 2=medium (default — apply when relevant), 3=critical (always loaded, applied in every session) |
| project | string | – | Project this memory belongs to. Defaults to the current workspace — set explicitly only for global facts (pass empty string "" = applies everywhere) or another project. If omitted AND the workspace c… |
| related | array | – | Slugs of related memories (cross-references, not replacement). |
| rule | string | yes | The primary fact or rule to remember (max ~200 chars). Write as a declarative statement: 'always X', 'never Y', 'Z is located at ...' |
| slug | string | yes | Short kebab-case identifier, unique per memory. Examples: 'user-prefers-terse-responses', 'ig-pipeline-no-fallback', 'trading-confirm-only-orders'. Use existing slug to update. |
| supersedes | array | – | Slugs of memories this one REPLACES (corrections, updated decisions, resolved incidents). Pass this instead of writing 'CORRECTED:' prefixes or leaving stale duplicates — superseded memories stop sur… |
| tags | array | – | Topic tags for filtering. Examples: ['instagram', 'trading', 'admin'] |
| type | string | – | Alias for type_code (read tools return this field as 'type', so both spellings work here). |
| type_code | string | – | fb=feedback (corrections, preferences, how the user likes to work), us=user (who the user is, their role, expertise, goals), pj=project (active projects, goals, decisions, deadlines), rf=reference (p… |
| unverified | boolean | – | Mark this memory as a CANDIDATE (unconfirmed) — use for facts seeded from repo files, imported, or synced from another writer that you have not confirmed. Unverified memories are kept OUT of high-aut… |
| when | string | – | When / where to apply this rule. Optional. |
| why | string | – | Why this rule exists — the incident, reason, or motivation. Optional but strongly recommended. |
No output schema declared.
No examples provided.
search_memories ~673
Search your persistent memory store for facts, rules, and lessons relevant to the current task. CALL THIS: at the start of every session, before answering questions about past work, before applying preferences the user may have expressed before, or whenever you are unsure whether you have prior context on a topic. SCOPED BY DEFAULT: results come from the current project's family plus global (project-less) memories — other projects' memories never appear unless you widen. To widen: pass all_projects=true to search the entire store (each hit then carries its 'project' label), or pass project=<label> to hard-filter to one specific project. The resume digest and <memgit-recall> blocks show a memory index with counts ('+N more on <topic>') — those topics are guaranteed to return results here; the injected blocks are a teaser of this store, not its full depth. Returns memories ranked by relevance — only what matters, not everything. Superseded (corrected/replaced) memories are hidden by default. This is faster and more relevant than reading individual memory files.
| Name | Type | Req | Description |
|---|---|---|---|
| all_projects | boolean | – | Search the ENTIRE store instead of the default scope (current project family + global). Every hit carries its 'project' label so cross-project results are attributable. |
| format | string | – | Output format. 'json' (default) is universal and works with all LLMs. 'toon' is a token-efficient sigil format — use only if you know the TOON spec. |
| include_superseded | boolean | – | Also score memories that a newer memory supersedes. Default false — the current head of each correction chain is what you want; set true only for history archaeology. |
| project | string | – | Hard-filter to exactly one project's memories. Usually UNNECESSARY — searches are already scoped to the current project's family + global memories. Set only to look at a specific other project. |
| query | string | yes | Natural-language description of what you want to recall. Examples: 'user preferences for code style', 'how does the Instagram pipeline work', 'what trading rules should I follow' |
| top_k | integer | – | Max results to return (default 8, max 30). Use 15-20 for broad topic discovery. |
| type_filter | string | – | fb=feedback (corrections, preferences, how the user likes to work), us=user (who the user is, their role, expertise, goals), pj=project (active projects, goals, decisions, deadlines), rf=reference (p… |
No output schema declared.
No examples provided.
verify_memory ~118
Promote an UNVERIFIED (candidate) memory to trusted/committed after you have confirmed its content is a legitimate fact. Once verified, it can inject into high-authority context again. Use this to resolve the candidate/committed boundary in-session (the operator does not do it manually). Pass verified=false to demote a memory back to candidate.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | Slug of the memory to (un)verify. |
| verified | boolean | – | true = promote to trusted (default); false = demote back to candidate. |
No output schema declared.
No examples provided.
How do I install the memgit MCP server?
memgit runs locally as a PyPI package, launched with uvx memgit. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · memgit
claude mcp add dev-memgit-memgit -- uvx memgit
What is the memgit MCP server?
memgit is an MCP server listed in the public MCP registry as dev.memgit/memgit. Git for AI memory, version-controlled, searchable context that persists across sessions. This page covers its PyPI package (memgit).
Is the memgit MCP server safe to use?
memgit scores 67 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 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 memgit MCP server expose?
memgit exposes 7 tools: resume_session, search_memories, get_memory, list_memories, save_memory, and 2 more. Their descriptions and schemas cost roughly 2,334 tokens of context every time the server is loaded.
Is the memgit MCP server still maintained?
memgit is still listed as active in the MCP registry. We last reached this channel on 4 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 memgit MCP server under?
memgit declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.