Fournit un backend de mémoire gouverné en local-first qui organise, déduplique et sécurise le contexte partagé pour les agents de codage.
Aussi connu sous irisxc4/memoryguard, agent-memguard
- Étoiles
- 4
- Outils
- —
- Téléchargements, 30 jours
- 1 082
- Dernière version
- 0.7.12
- Dernier commit
- 30 sept. 2026
- Licence
- MIT
Qu'est-ce que MemoryGuard MCP ?
MemoryGuard est un serveur MCP. Fournit un backend de mémoire gouverné en local-first qui organise, déduplique et sécurise le contexte partagé pour les agents de codage.
Résumé généré à partir du README du projet
À propos du MCP server MemoryGuard
MemoryGuard fournit un backend de mémoire local-first conçu spécifiquement pour permettre aux agents de codage de gérer un contexte partagé. Il agit comme une couche de gouvernance entre les agents et leur mémoire afin d'empêcher l'accumulation d'informations dupliquées, obsolètes ou contradictoires. En organisant chaque écriture, le système garantit que le contexte partagé reste utilisable et sécurisé sans nécessiter de serveurs distants ou de comptes externes.
Les développeurs peuvent intégrer ce MCP server à divers hôtes de codage, notamment Claude Code, Cursor, Trae et Codex, via MCP stdio ou des hooks de cycle de vie. L'architecture utilise des domaines SQLite pour séparer la mémoire, les règles, les preuves et le contenu dans des limites gouvernées. Il inclut des fonctionnalités spécialisées comme l'automatisation CodeGraph pour des rafraîchissements incrémentiels de projet et une console de gouvernance de bureau pour la supervision humaine. Puisqu'il est exclusivement local, il donne la priorité à la confidentialité en conservant l'historique brut des conversations dans une archive isolée plutôt que de le laisser fuiter dans le contexte futur de l'agent.
Ce que vous pouvez faire avec
- 1Prévention de la duplication de contexteUn agent IA peut écrire dans la mémoire partagée pendant que le système classifie et déduplique automatiquement les entrées.
- 2Sécurisation des informations sensiblesLe système peut identifier et isoler le contenu sensible pour éviter qu'il ne soit utilisé dans la mémoire active.
- 3Maintien d'une piste d'auditLes développeurs peuvent suivre la raison pour laquelle des modifications spécifiques ont été effectuées en examinant les chaînes de preuves conservées.
- 4Automatisation de l'indexation de projetLe serveur peut construire automatiquement un CodeGraph pour aider les agents à naviguer entre les symboles du projet et les relations entre les fichiers.
Extrait du README du projet. Chaque cas d'utilisation est vérifié par rapport à une citation du document.
Comment installer MemoryGuard MCP
Formats vérifiés le 10 nov. 2026Ajouter à CursorAjouter à GooseInstaller MemoryGuard MCP dans Claude Code
$ claude mcp add memoryguard -- uvx agent-memguardInstaller MemoryGuard MCP dans Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"memoryguard": {
"command": "uvx",
"args": [
"agent-memguard"
]
}
}
}Installer MemoryGuard MCP dans VS Code
.vscode/mcp.json
{
"servers": {
"memoryguard": {
"type": "stdio",
"command": "uvx",
"args": [
"agent-memguard"
]
}
}
}Installer MemoryGuard MCP dans VS Code CLI
$ code --add-mcp '{"name":"memoryguard","type":"stdio","command":"uvx","args":["agent-memguard"]}'Installer MemoryGuard MCP dans Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"memoryguard": {
"command": "uvx",
"args": [
"agent-memguard"
]
}
}
}Installer MemoryGuard MCP dans Codex
$ codex mcp add memoryguard -- uvx agent-memguardInstaller MemoryGuard MCP dans Codex config.toml
~/.codex/config.toml
[mcp_servers.memoryguard] command = "uvx" args = ["agent-memguard"]
Installer MemoryGuard MCP dans Gemini CLI
$ gemini mcp add -s user memoryguard uvx -- agent-memguardInstaller MemoryGuard MCP dans Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"memoryguard": {
"command": "uvx",
"args": [
"agent-memguard"
]
}
}
}Vérifications automatisées
Exécuté le 13 nov. 2026Rapport complet →A passé nos vérifications automatisées. Il ne s'agit pas d'un audit de sécurité : lisez le code et donnez au serveur l'accès le plus restreint dont il a besoin. Fonctionnement des vérifications
- Dépôt source lié et accessibleirisxc4/memoryguard is public and reachablegithub.com/irisxc4/memoryguard ↗Réussi
- Le nom du package correspond au dépôt sourceagent-memguard names irisxc4/memoryguard as sourcepypi.org/project/agent-memguard/ ↗Réussi
- Provenance du build (attestation Sigstore)Sigstore attestation for agent-memguardpypi.org/project/agent-memguard/ ↗Réussi
- Licence open source (OSI)MITspdx.org/licenses/MIT.html ↗Réussi
- Commit ou version publiée au cours de l'année écouléeLast commit or release 2026-09-30github.com/irisxc4/memoryguard ↗Réussi
- OpenSSF ScorecardNon vérifié
- Nom du package non proche d'un package populaireNo popular package one edit away from agent-memguardRéussi
- Aucun avis critique dans le package ou ses dépendances26 resolved dependencies checked; no critical advisoryosv.dev ↗Réussi
- Aucune instruction cachée destinée au modèle0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersRéussi
- Les outils destructifs sont étiquetésNon vérifié
- Le point de terminaison distant répond à la poignée de main MCPNon vérifié
README
Voir sur GitHubLet agents write without turning shared memory into an unreviewed pile. MemoryGuard organizes each write, preserves the evidence behind changes, and keeps governance decisions reversible.
No account. No remote server. No remote telemetry. Local-only usage telemetry is optional and stores bounded, privacy-preserving aggregates locally.
What's New in v0.7.15
- Automatic CodeGraph builds: Trusted bootstrap starts a project's first build in a background process. Default and per-project switches persist; disabling automation preserves the graph. Supported file-write events trigger incremental refresh.
- Clear graph navigation: Switch between a file overview and symbols, filter by file, inspect neighboring relations, and use zoom controls.
- Bounded temporary storage: Ordinary graph queries read SQLite directly instead of retaining full-database copies. Validation and installation temporary files use the owning project/deployment cache and are cleaned up when the operation ends.
See the v0.7.15 release note and CodeGraph automation details. Reconnect or restart hosts after upgrading and repairing their provider integration.
Earlier governance improvements
v0.7.13 strengthens mandatory-rule replacement and recovery, improves audience-aware identity handling, and improves conflict resolution:
- Safe mandatory-rule replacement: Replacements validate the final mandatory package against audience matching, canonical rules, deduplication, sensitivity checks, and publication budgets. Equivalent unlocked predecessors retire in the same transaction; failed validation rolls back the complete update. See the replacement and recovery details.
- Native Agent/group audience matching: Matching and deduplication no longer split the same native audience solely by provider or runtime role. Distinct Agent identities remain separate, and project-scoped audiences retain their project boundaries. Provider repair uses the verified identity for its target provider.
- Readable, atomic conflict resolution: Conflict views preserve readable peer information, and resolution keeps peer groups intact while applying the selected changes atomically. Ambiguous conflicts remain unresolved.
- Cursor Hook protection: Cursor MemoryGuard Hooks now use a 30-second
timeout, up from 15 seconds, with
failClosed: true.
v0.7.14 only corrects release metadata for the GitHub repository rename; it does not change runtime behavior. See the v0.7.14 release note.
See the v0.7.13 release note and release history.
Earlier release details are kept in the Changelog and GitHub release records.
Token evidence and demo
Usage events distinguish measured_cached_input from
measured_cache_write_input. measured_cache_coverage.cache_read and
cache_write report complete, partial, or unavailable; measured zero
remains 0, while missing provider data remains None/unavailable.
Character-based estimates remain explicitly labelled
estimated mg_deterministic_unit, never provider tokens.
Run the benchmark only against an authorized local workspace:
python scripts/benchmark_usage_telemetry.py --workspace . --window-days 7 --sync
Read the benchmark guide for measured, estimated, derived, and unsupported semantics. Use the demo recording checklist for a sanitized walkthrough. The repository's synthetic graph artwork is not a live product capture; it is not evidence of usage or savings.
Major V2 refactor in v0.6.0
v0.6.0 was a production data-plane refactor, not a storage-only upgrade:
- Authoritative V2 domains: Memory, Rules, Evidence, Content, Runtime, Projection, Assets, CodeGraph, Skills, and System state are separated into explicit SQLite domains with governed boundaries.
- Explicit cutover:
V1_ACTIVE → V2_BUILDING → V2_READY → V2_ACTIVEis fail-closed; V2 never silently falls back to legacy stores or dual-writes after READY/ACTIVE. - Lossless migration: frozen-source preparation uses coherent SQLite online backups, validates source/target evidence, rechecks live-source drift, and preserves V1 data plus migration backups for rollback.
- Native routing: MCP, CLI, GUI, and Hook surfaces are classified explicitly; the release closed the 233-surface cutover with 138 implemented routes, 95 retired routes, and zero neutral/blocker routes.
- Governed intelligence: Rule lifecycle and RuleMerge, extraction/enrichment, External MCP import, provider control-plane, conversation history, Knowledge Library, and GUI governance all use the V2 evidence and decision paths.
- Operational evidence: Reference Audit, per-domain SQLite health, guarded maintenance, rollback evidence, and safe unbound diagnostics are part of readiness and operations.
Why MemoryGuard
Persistent memory solves storage. It does not solve governance.
When several coding agents write into the same context, records become duplicated, stale, contradictory, over-broad, or unsafe to reuse. MemoryGuard sits between coding agents and their shared memory to keep that context usable.
| Without governance | With MemoryGuard |
|---|---|
| Notes accumulate without a canonical state | Writes are classified, deduplicated, superseded, or surfaced as conflicts |
| A correction silently destroys the old value | Evidence and supersede chains preserve what changed and why |
| Tokens and credentials can remain active | Sensitive-looking content is quarantined from active memory |
| Every write needs manual approval | Agents write normally; people review exceptions and outcomes |
| Raw chat logs leak into future context | Conversation history remains a separate, explicitly read evidence archive |
System architecture
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flowchart TB
Hosts["CODING-AGENT HOSTS<br/>Claude Code · Codex · Cursor · TRAE "]:::host
Gateway["LOCAL INTEGRATION<br/>MCP stdio · redirect rules · lifecycle hooks "]:::gateway
subgraph Core["GOVERNANCE CORE "]
direction LR
Identity["TRUST<br/>identity · scope "]:::core
MemoryAPI["MEMORY<br/>governed I/O "]:::active
Rules["RULES<br/>scope · assignment "]:::rule
HistoryAPI["HISTORY<br/>search · timeline "]:::history
Security["SAFETY<br/>validate · quarantine "]:::danger
Identity --> MemoryAPI
Identity --> Rules
Identity --> HistoryAPI
MemoryAPI --> Security
end
subgraph Stores["LOCAL GOVERNED STORES "]
direction LR
SharedDB[("V2 DOMAIN STORES<br/>Memory · Rules · Evidence · Content ")]:::store
HistoryDB[("HISTORY STORE<br/>isolated conversations ")]:::historyStore
AuditDB[("RECOVERY STORE<br/>versions · receipts · backups ")]:::store
end
Bootstrap["BOUNDED CONTEXT BOOTSTRAP<br/>mandatory rule pack · relevant recall "]:::bootstrap
Control["HUMAN CONTROL<br/>CLI · desktop governance console "]:::surface
Hosts --> Gateway --> Identity
MemoryAPI --> SharedDB
Rules --> SharedDB
HistoryAPI --> HistoryDB
Security --> AuditDB
SharedDB --> Bootstrap
Control --> Identity
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classDef gateway fill:#0D3338,stroke:#38D5C8,color:#EEF4F8,stroke-width:2.4px;
classDef core fill:#12243A,stroke:#557287,color:#EEF4F8,stroke-width:1.4px;
classDef active fill:#0D383A,stroke:#38D5C8,color:#EEF4F8,stroke-width:2px;
classDef rule fill:#3B2C18,stroke:#F3B562,color:#EEF4F8,stroke-width:1.8px;
classDef history fill:#102F45,stroke:#73C7F5,color:#EEF4F8,stroke-width:1.8px;
classDef danger fill:#3A2028,stroke:#EA6A6A,color:#EEF4F8,stroke-width:1.8px;
classDef bootstrap fill:#EEF4F8,stroke:#38D5C8,color:#071521,stroke-width:2.4px;
classDef store fill:#0B1624,stroke:#7F96A8,color:#EEF4F8,stroke-width:1.4px;
classDef historyStore fill:#102436,stroke:#73C7F5,color:#EEF4F8,stroke-width:1.4px;
classDef surface fill:#EEF4F8,stroke:#38D5C8,color:#071521,stroke-width:2px;
style Core fill:#081827,stroke:#27445A,stroke-width:1px,color:#EEF4F8
style Stores fill:#081827,stroke:#27445A,stroke-width:1px,color:#EEF4F8
linkStyle default stroke:#557287,stroke-width:1.4px;
Quick start
MCP Registry metadata
This package exposes a local stdio MCP server as io.github.MerakOsiris/memoryguard.
Registry metadata is kept in server.json, and the marker above
ships with the PyPI package README. Releases are published through GitHub OIDC
to PyPI and the official MCP Registry. Verify the current package version and
the Registry entry's active/latest state through their live public records.
1. Install
python -m pip install agent-memguard
For the desktop governance console:
python -m pip install "agent-memguard[gui]"
2. Authorize the current project
memoryguard source add .
3. Connect or repair your coding agent
Global provider configuration is rebuilt from the real binding in the canonical user data home. The command is idempotent and removes superseded MemoryGuard project-level overrides after a successful global takeover.
# Repair one provider
memoryguard provider repair claude
memoryguard provider repair codex
memoryguard provider repair cursor
memoryguard provider repair trae
# Repair every detected provider
memoryguard provider repair all
Restart the host after installation, then verify the integration:
memoryguard doctor
memoryguard mcp-status
memoryguard hooks status --provider all
Launch the desktop console:
memoryguard gui
memoryguard-gui . remains available for desktop shortcuts. A bare
memoryguard gui always opens the canonical user-level control directory
(default %LOCALAPPDATA%\MemoryGuard on Windows), so running it from a project
or from C:\Windows\System32 cannot silently switch databases.
MEMORYGUARD_WORKSPACE is an explicit operator override; an explicit
memoryguard gui <project-path> or memoryguard gui --workspace <project-path>
selects a specific workspace.
It does not remember a previously selected project or open a folder picker.
On Windows, memoryguard gui detaches the native window from the terminal, so
closing PowerShell does not close the GUI.
Provider-specific setup and behavior:
Stable Codex / Router binding
Codex/Router binds MemoryGuard to the stable local Codex program and control installation. An account profile is an endpoint/alias, not a new memory owner: switching profiles automatically discovers or repairs the profile and reuses the verified Agent binding and active group. Request identity remains fail-closed; this does not share records across machines or with arbitrary accounts.
Upgrade
MemoryGuard currently upgrades through Python's package manager:
python -m pip install --upgrade agent-memguard
memoryguard --version
memoryguard doctor
If you installed the GUI extra, keep it during the upgrade:
python -m pip install --upgrade "agent-memguard[gui]"
There is no package self-update command. The package manager is the
authoritative package-upgrade path; memoryguard upgrade below is the explicit
workspace migration flow, not a package updater.
Upgrade an existing V1 data home
Upgrade the package, then run the verified migration. No workspace, data-home, apply, or confirmation arguments are required for the normal user-level data home:
python -m pip install --upgrade agent-memguard
memoryguard --version # confirms installed version
memoryguard upgrade
memoryguard doctor
The command prepares V2, validates the frozen and live source evidence,
migrates Agent/Group control, activates only after all gates pass, and removes
only the backup batch belonging to that successful migration. Re-running it on
V2_ACTIVE is idempotent. For a zero-write report, use:
memoryguard upgrade --preview
Advanced explicit workspace/data-home options remain available for operators managing an isolated installation. A failed gate stays non-active and preserves its evidence; successful activation does not keep a redundant migration backup.
Existing pre-V2 workspaces: explicit V2 cutover
v0.6.0 never auto-activates an existing workspace. Upgrade the package first, then use the packaged operator CLI:
# Read-only manifest status
memoryguard-v2 status -w .
# Build a frozen-source V2 shadow and stop at V2_READY
memoryguard-v2 prepare -w . --apply
# Activate only after the prepare result is V2_READY / ready=true
memoryguard-v2 activate -w . --confirm V2_ACTIVE
The prepare step uses coherent SQLite online backups, preserves V1 and
migration-backups, and rechecks live-source drift before READY. Activation
performs another fresh drift check before changing the manifest. Do not delete
legacy V1 data or migration backups as part of the upgrade.
Knowledge Library
The desktop console can turn a selected folder or file set into one governed local knowledge library. Source files remain where they are; MemoryGuard stores the searchable index in its user data home instead of copying a runtime database into every source project. Knowledge metadata never becomes a second source-body store.
| Capability | Current behavior |
|---|---|
| File/folder ingestion | Add a folder as a book or selected files as documents |
| Structure | Parse documents, preserve chapter/section context, and create traceable chunks |
| Retrieval | Full-text search, optional embeddings, and a layered knowledge graph |
| Natural synchronization | Re-ingest changed files; a partial or failed scan does not silently remove previously indexed content |
| Lifecycle | Move a book to the library trash, restore it, or explicitly purge its recovery snapshot |
| Memory candidates | Preview evidence-backed candidates before accepting them into governed long-term memory |
Open the desktop console and choose Knowledge Library. Remote embedding or model-backed indexing is opt-in and requires explicit authorization; local full-text retrieval remains available without sending source text to a remote provider. Background imports, re-ingests, and smart rebuilds have durable task receipts: retrying the same request reuses its task, while reusing that key for a different request is rejected. A live task for a different request reports busy rather than claiming that work was accepted.
CodeGraph refresh
The first CodeGraph build is an explicit, confirmed full build. After a scope
has been built, each successful trusted file write can trigger an incremental
refresh for that scope, subject to strict source-path and active-binding
validation. Unchanged content hashes are a no-op; deleted files are retired;
the next context receives one bounded affected receipt. MemoryGuard does not
run a daemon or watcher for this path and does not infer paths from shell or
free-form text. A projectless MCP caller first builds an already-bound directory
source, then passes its codegraph_source_id to select that exact scope for
query, status, update, and graph reads.
Desktop console surfaces
The GUI has eight visible navigation entries: seven governance pages plus a separate Token usage-and-savings view:
- Governance Overview
- Data Sources & Agents
- Memory Core
- CodeGraph
- Rules & Habits
- Conversation History
- Risk Signals & Governance Console
- Token Usage & Savings (separate from the seven governance pages)
Agent lists use readable program/provider names; the underlying ID remains available in the detail view. Empty data is shown as an explicit empty state.
Write and governance lifecycle
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flowchart TD
subgraph Intake["01 · INTAKE "]
direction LR
Write(["Memory write "]):::entry
Scope["Resolve identity<br/>scope · audience "]:::core
Validate{"Authorized? "}:::decision
Reject["Reject<br/>no persistence "]:::danger
Write --> Scope --> Validate
Validate -- NO --> Reject
end
subgraph Organize["02 · ORGANIZE "]
direction TB
Secret{"Sensitive? "}:::decision
Quarantine["Quarantine<br/>outside active set "]:::danger
Compare["Classify · compare<br/>governed records "]:::active
Relation{"Relationship "}:::decision
New["NEW<br/>create active record "]:::result
Duplicate["DUPLICATE<br/>merge provenance "]:::result
Correction["CORRECTION<br/>supersede old record "]:::rule
Conflict["CONFLICT<br/>preserve both sides "]:::danger
Secret -- YES --> Quarantine
Secret -- NO --> Compare --> Relation
Relation --> New
Relation --> Duplicate
Relation --> Correction
Relation --> Conflict
end
subgraph Govern["03 · GOVERN "]
direction LR
Receipt[("Evidence event<br/>version receipt ")]:::store
Review["CLI or desktop review "]:::surface
Action["Correct · merge<br/>restore · delete "]:::rule
Snapshot["Reversible<br/>snapshot "]:::active
Receipt --> Review --> Action --> Snapshot
end
Validate -- YES --> Secret
Quarantine --> Receipt
New --> Receipt
Duplicate --> Receipt
Correction --> Receipt
Conflict --> Receipt
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classDef core fill:#12243A,stroke:#557287,color:#EEF4F8,stroke-width:1.5px;
classDef decision fill:#0D3338,stroke:#38D5C8,color:#EEF4F8,stroke-width:2px;
classDef active fill:#0D383A,stroke:#38D5C8,color:#EEF4F8,stroke-width:2px;
classDef result fill:#12243A,stroke:#38D5C8,color:#EEF4F8,stroke-width:1.6px;
classDef rule fill:#3B2C18,stroke:#F3B562,color:#EEF4F8,stroke-width:1.8px;
classDef danger fill:#3A2028,stroke:#EA6A6A,color:#EEF4F8,stroke-width:1.8px;
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classDef surface fill:#EEF4F8,stroke:#38D5C8,color:#071521,stroke-width:2px;
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style Organize fill:#081827,stroke:#27445A,stroke-width:1px,color:#EEF4F8
style Govern fill:#081827,stroke:#27445A,stroke-width:1px,color:#EEF4F8
linkStyle default stroke:#557287,stroke-width:1.4px;
The console is not an approval queue. Agents keep moving. MemoryGuard records the outcome and exposes the evidence needed to correct it later.
What you can govern
| Signal | Governance action |
|---|---|
| Duplicate or stale memory | Inspect the canonical record and supersede chain; restore an earlier version when needed |
| Conflicting memories | Keep both visible until the conflict is resolved deliberately |
| Secrets, tokens, or credentials | Quarantine the record so it cannot enter active shared memory |
| Incorrect automatic organization | Correct, merge, lock, restore, or roll back with evidence |
| Multiple coding agents | Bind agents to one shared group while preserving source identity and scope |
| Mandatory rules | Assign rules to an Agent, project, provider, runtime role, or shared group |
Questions sur MemoryGuard MCP
Comment ajouter MemoryGuard MCP à Claude Code ?
Exécutez claude mcp add memoryguard -- uvx agent-memguard dans votre terminal. Ajoutez --scope user pour le rendre disponible dans tous les projets.
Comment ajouter MemoryGuard MCP à Cursor ?
Ouvrez ~/.cursor/mcp.json et ajoutez le serveur sous mcpServers, avec la configuration Cursor indiquée dans la section d'installation ci-dessus.
Est-ce que MemoryGuard envoie mes données vers un serveur distant ?
Non, il s'agit d'une solution exclusivement locale, sans serveur distant ni télémétrie à distance.
Comment MemoryGuard gère-t-il les informations sensibles ?
Il peut mettre en quarantaine le contenu à caractère sensible de la mémoire active pour éviter toute fuite.
Puis-je annuler les modifications apportées à la mémoire par les agents ?
Oui, le système conserve les preuves des modifications et permet de rendre les décisions de gouvernance réversibles.
Quels agents de codage sont pris en charge ?
Il prend en charge des hôtes tels que Claude Code, Codex, Cursor et TRAE.