Local-first MCP memory governance for coding agents — Codex, Claude Code, Cursor, Grok, and Trae. Shared rules, deduplication, token insights, audit, and rollback.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add memoryguard -- python -m agent-memguard{
"mcpServers": {
"memoryguard": {
"command": "python",
"args": ["-m", "pip"]
}
}
}Resumen de MCP Servers
<h1 align="center">MemoryGuard</h1>
<!-- mcp-name: io.github.MerakOsiris/memoryguard -->
<p align="center">
<strong>Governed shared memory for coding agents.</strong><br />
Local-first MCP memory with automatic organization, scoped rules, evidence, and rollback.
</p>
<p align="center">
<a href="https://pypi.org/project/agent-memguard/"><img src="https://img.shields.io/pypi/v/agent-memguard.svg?label=PyPI" alt="PyPI version" /></a>
<a href="https://github.com/irisxc4/memoryguard/actions/workflows/ci.yml"><img src="https://github.com/irisxc4/memoryguard/actions/workflows/ci.yml/badge.svg" alt="CI status" /></a>
<a href="https://github.com/irisxc4/memoryguard/blob/main/pyproject.toml"><img src="https://img.shields.io/badge/Python-3.10%2B-3776AB?logo=python&logoColor=white" alt="Python 3.10 or newer" /></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-2ea44f" alt="MIT license" /></a>
<a href="README.zh-CN.md">中文文档</a>
</p>
> Let 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.**
<p align="center">
<a href="#quick-start">Quick start</a> ·
<a href="#upgrade">Upgrade</a> ·
<a href="#knowledge-library">Knowledge Library</a> ·
<a href="#system-architecture">Architecture</a> ·
<a href="#supported-hosts">Supported hosts</a> ·
<a href="#privacy-and-safety">Privacy and safety</a>
</p>
<p align="center">
<img src="docs/assets/neuron-graph-live.gif" alt="Animated MemoryGuard neuron graph with governed memory categories and signals moving through the local projection" width="1120" />
</p>
<p align="center">
<sub>A synthetic governed projection: signals move through memory categories while raw conversation text remains outside the graph.</sub>
</p>
## 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](docs/releases/v0.7.15.md) and
[CodeGraph automation details](docs/codegraph-automation.md). 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](docs/mandatory-rule-replacement.md).
- **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](docs/releases/v0.7.14.md).
See the [v0.7.13 release note](docs/releases/v0.7.13.md) and
[release history](CHANGELOG.md).
Earlier release details are kept in the [Changelog](CHANGELOG.md) and
[GitHub release records](https://github.com/irisxc4/memoryguard/releases).
### 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:
```powershell
python scripts/benchmark_usage_telemetry.py --workspace . --window-days 7 --sync
```
Read [the benchmark guide](docs/benchmarks/README.md) for measured,
estimated, derived, and unsupported semantics. Use [the demo recording
checklist](docs/benchmarks/demo-script.md) 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_ACTIVE` is 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
```mermaid
%%{init: {"theme":"base","themeVariables":{"background":"#071521","fontFamily":"Arial, sans-serif","fontSize":"14px","primaryTextColor":"#EEF4F8","lineColor":"#557287","edgeLabelBackground":"#071521","clusterBkg":"#0A1A29","clusterBorder":"#27445A"},"flowchart":{"htmlLabels":true,"curve":"basis","nodeSpacing":32,"rankSpacing":48,"padding":14}}}%%
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
classDef host fill:#12243A,stroke:#38D5C8,color:#EEF4F8,stroke-width:1.4px;
classDef gateway fill:#0D3338,stroke:#38D5C8,color:#EEF4F8,stroke-width:2.4px;
classDef core fill:#12243A,stroke:#557287,color:#EEF4F8,stroLo que la gente pregunta sobre memoryguard
¿Qué es MerakOsiris/memoryguard?
+
MerakOsiris/memoryguard es mcp servers para el ecosistema de Claude AI. Local-first MCP memory governance for coding agents — Codex, Claude Code, Cursor, Grok, and Trae. Shared rules, deduplication, token insights, audit, and rollback. Tiene 3 estrellas en GitHub y su última actualización registrada es del 2026-09-30.
¿Cómo se instala memoryguard?
+
Puedes instalar memoryguard clonando el repositorio (https://github.com/MerakOsiris/memoryguard) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar MerakOsiris/memoryguard?
+
Nuestro agente de seguridad ha analizado MerakOsiris/memoryguard y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene MerakOsiris/memoryguard?
+
MerakOsiris/memoryguard es mantenido por MerakOsiris. La última actividad registrada en GitHub es del 2026-09-30, con 0 issues abiertos.
¿Hay alternativas a memoryguard?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega memoryguard en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/merakosiris-memoryguard)<a href="https://claudewave.com/repo/merakosiris-memoryguard"><img src="https://claudewave.com/api/badge/merakosiris-memoryguard" alt="Featured on ClaudeWave: MerakOsiris/memoryguard" width="320" height="64" /></a>Más MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
The fastest path to AI-powered full stack observability, even for lean teams.