agent-memguard 0.1.1

Local-first MCP memory backend and governance console for coding agents

MemoryGuard

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.

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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 adds MemoryGuard as an MCP server and writes its instruction file.

# 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

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 Claude Code, Codex, or Cursor from one command
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

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.

Contributing

Issues and pull requests are welcome. Read CONTRIBUTING.md; by submitting a pull request, you agree to the CLA.

License

MIT