MemoryGuard v0.3.0
Shared memory for coding agents, without shared-memory chaos.
A local-first MCP memory layer that organizes writes automatically and keeps every governance decision reversible.
Your agents can write freely. MemoryGuard classifies, deduplicates, supersedes, quarantines, and compresses shared memory on every write - then lets you inspect, correct, or roll back the result afterward.
No account. No server. No telemetry. Your memory stays local.
Install in 60 seconds · See the governance loop · What it is and isn't
Why MemoryGuard
Persistent memory solves only half the problem. When several coding agents write into the same context, memory can become duplicated, stale, contradictory, or unsafe to reuse.
MemoryGuard is the local control layer between your coding agents and their shared memory:
| Instead of | MemoryGuard gives you |
|---|---|
| A growing pile of unreviewed notes | Write-time classification, deduplication, superseding, conflict detection, quarantine, derivation, and compression |
| Approving every agent write by hand | Automatic writes; human review only when you need it |
| Treating an overwrite as permanent | History, evidence, supersede chains, and rollback |
| Sending project context to another service | A local MCP stdio server with local SQLite storage |
See the governance loop
Agent writes memory
-> MemoryGuard MCP write
-> auto-organize
classify · deduplicate · supersede · detect conflict · quarantine · compress
-> active shared memory
-> governance console
inspect · correct · merge · lock · restore · roll back
The console is not an approval queue. Agents keep moving; you govern the outcome with evidence when it matters.
Install in 60 seconds
pip install agent-memguard
Choose the coding agent you use. Each command installs the global MCP binding, redirect rules, and the verified user-level Hook supported by that host.
# Claude Code
memoryguard source add . && python -m memoryguard.provider_adapters install claude
# Codex
memoryguard source add . && python -m memoryguard.provider_adapters install codex
# Cursor
memoryguard source add . && python -m memoryguard.provider_adapters install cursor
Then restart your agent and verify the environment:
memoryguard doctor
memoryguard mcp-status
memoryguard hooks status --provider all
Need a desktop window for the governance console?
pip install "agent-memguard[gui]"
For explicit configuration and provider-specific behavior, see the Claude Code, Codex, and Cursor guides.
What you can govern
| Signal | What you can do |
|---|---|
| Duplicate or stale memory | See the supersede chain and restore the prior version if needed |
| Conflicting memories | Surface the conflict and resolve it deliberately |
| Secrets, tokens, or credentials | Quarantine them instead of leaving them in active shared memory |
| A wrong governance decision | Inspect its history and roll the shared memory back to a version snapshot |
| Multiple coding agents | Bind agents to a governed shared-memory group |
What MemoryGuard is - and isn't
MemoryGuard is a local MCP memory backend and governance console for coding agents. It provides a shared source of truth and organizes writes as they arrive.
It is not a cloud service, an account system, or a human gate that blocks every memory write. It also does not pretend every agent's native memory can be disabled: provider support is reported as redirected, observed, or unsupported where appropriate.
Architecture
| Layer | Responsibility |
|---|---|
| Evidence layer | Agent-native memory, files, documents, and external MCP descriptors; raw inputs, not governance truth |
| Memory layer | MemoryGuard's local MCP shared-memory backend; the governed shared source of truth |
| Governance layer | GUI and CLI for observation, evidence, corrections, and reversible changes |
Core surfaces
| Surface | Use it for |
|---|---|
| MCP memory backend | Read, search, write, update, delete, and inspect shared-memory status |
| Auto-organizer | Classify, deduplicate, supersede, detect conflicts, quarantine, derive, and compress on write |
| Governance console | Review raw writes, conflicts, quarantine, supersede chains, and versions |
| Provider adapters | Set up global MCP, redirect rules, and Hooks for Claude Code, Codex, or Cursor; report the TRAE fallback honestly |
| CLI | Audit local sources, manage authorized inputs, inspect reports, and manage memory builds/releases |
The complete MCP tool reference and CLI command reference are below for evaluation and integration work.
CLI commands
| Command | Description |
|---|---|
audit [path] |
Read-only scan; generate a report |
open [path] |
Open the latest report in a window |
explain <finding_id> |
Explain a finding's evidence and risk |
plan <finding_ids...> |
Generate a minimal fix plan without writing |
apply <plan_id> |
Apply a plan: backup, patch, and rescan |
verify |
Rescan and compare before/after |
undo <change_id> |
Restore from backup and re-verify |
source <action> |
Manage authorized sources |
scan |
Read-only scan and coverage ledger |
import <action> <bundle> |
Preview or create an offline import bundle |
memory <action> |
Memory build, verify, and release rollback workflows |
doctor |
Diagnose installation and environment |
mcp-status |
Inspect MCP shared-memory status |
hooks <action> |
Install, repair, inspect, pause, or remove host Hooks |
MCP tools
| Group | Tools |
|---|---|
| Memory backend | memoryguard_memory_read, memoryguard_memory_search, memoryguard_memory_write, memoryguard_memory_update, memoryguard_memory_delete, memoryguard_memory_status |
| Audit and scan | memoryguard_audit, memoryguard_explain, memoryguard_list_sources, memoryguard_scan_summary, memoryguard_neuron_graph, memoryguard_import_preview, memoryguard_build_plan |
| Agent binding | memoryguard_binding_create, memoryguard_binding_list |
| External MCP | memoryguard_external_mcp_list, memoryguard_external_mcp_import |
| Document extraction | memoryguard_extract_memories, memoryguard_accept_candidates |
| Semantic and provider | memoryguard_semantic_check, memoryguard_provider_install |
Privacy and safety boundaries
- MemoryGuard runs as a local MCP stdio server; it requires no account, remote server, or telemetry.
- Shared memory is stored locally in SQLite under
.memoryguard/. - Source scanning is read-only by default. Changes use explicit plans, backups, rescans, and undo paths.
- A quarantined memory is deliberately kept out of active shared memory until you decide what to do with it.
Roadmap
- Now: local MCP backend, auto-organization, governance console, provider adapters, and rollback.
- Later: enhanced governance signals such as decay, derivation, and governance reports. No committed date.
- Later: team and enterprise capabilities after proven demand. No committed date.
Changelog
v0.3.0 (2026-07-29)
Hook-only automatic takeover:
- User-level Hook management for Claude Code, Codex, and Cursor; TRAE keeps the verified MCP + rules fallback
- Bounded, task-relevant context injection for main agents and subagents
- Native-memory write interception so long-term memory stays in the MemoryGuard-managed store
- Enforce, observe, pause, repair, status, and uninstall controls in CLI and GUI
- Idempotent configuration merges that preserve unrelated user hooks
MCP and Skill integration:
- Global provider installation now installs MCP, redirect rules, and supported Hooks together
- First Skill activation detects only the current host and repairs its integration
- Runtime receipts expose whether the takeover path is actually operational
v0.2.0 (2026-07-23)
重构记忆发布与回滚:
- 重构记忆 → 投影文件 → 目标文件的完整发布链路
- 目标文件 hash 校验:发布后若目标文件被修改,禁止回滚(避免误伤后续修改)
- 发布状态追踪:
applied_verified/rolled_back/published - 回滚版本列表 UI:只展示真正可回滚的版本,清晰显示状态
UI/UX 改进:
- 回滚版本选择弹窗:radio 单选 + 确认按钮,替代 prompt 输入
- 神经图谱:节点点击自动展开详情,操作反馈即时显示
- 重构记忆自动确认写入:不再每个光点都需要手动接受
安全与稳定性:
- 目录可写性预检:发布前检查目标目录权限,避免 PermissionError
- 备份校验:
existed_before=true时必须有 backup_path 存在 - 目标文件存在性检查:文件不存在时给出明确原因
新增测试:
- 发布目标验证测试
- 回滚状态判定测试
- 投影模式测试
- 安全测试
Contributing
Issues and pull requests are welcome. Read CONTRIBUTING.md; by submitting a pull request, you agree to the CLA.
License
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file agent_memguard-0.3.0.tar.gz.
File metadata
- Download URL: agent_memguard-0.3.0.tar.gz
- Upload date:
- Size: 799.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/6.1.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a7e72c9afff15edf25a573d532ba2a942927d1c8e042d8db8016fc9a93e675b0
|
|
| MD5 |
8c92c1e353bb449f48b2585e45c770cc
|
|
| BLAKE2b-256 |
53fa4b8b595c80ce6e6aa345b1379eb5f3e63367b256d0abd65c7595b6c62f09
|
Provenance
The following attestation bundles were made for agent_memguard-0.3.0.tar.gz:
Publisher:
publish.yml on irisxc4/memoryguard
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
agent_memguard-0.3.0.tar.gz -
Subject digest:
a7e72c9afff15edf25a573d532ba2a942927d1c8e042d8db8016fc9a93e675b0 - Sigstore transparency entry: 2280377628
- Sigstore integration time:
-
Permalink:
irisxc4/memoryguard@8d63610f18ce843c117961ef3556f4e5d0483a8f -
Branch / Tag:
refs/heads/main - Owner: https://github.com/irisxc4
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@8d63610f18ce843c117961ef3556f4e5d0483a8f -
Trigger Event:
workflow_dispatch
-
Statement type:
File details
Details for the file agent_memguard-0.3.0-py3-none-any.whl.
File metadata
- Download URL: agent_memguard-0.3.0-py3-none-any.whl
- Upload date:
- Size: 730.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/6.1.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e0780bafcd052ac079ffff3edfc2a5ffad42ec931c656962272d04f642ef8d17
|
|
| MD5 |
f388fe39079d8e480e29e95cb33cbed3
|
|
| BLAKE2b-256 |
2a80c8fbfe2f429e966ab565e3b3874304074bd6d7380f16f98dd5621136c418
|
Provenance
The following attestation bundles were made for agent_memguard-0.3.0-py3-none-any.whl:
Publisher:
publish.yml on irisxc4/memoryguard
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
agent_memguard-0.3.0-py3-none-any.whl -
Subject digest:
e0780bafcd052ac079ffff3edfc2a5ffad42ec931c656962272d04f642ef8d17 - Sigstore transparency entry: 2280377638
- Sigstore integration time:
-
Permalink:
irisxc4/memoryguard@8d63610f18ce843c117961ef3556f4e5d0483a8f -
Branch / Tag:
refs/heads/main - Owner: https://github.com/irisxc4
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@8d63610f18ce843c117961ef3556f4e5d0483a8f -
Trigger Event:
workflow_dispatch
-
Statement type: