Install
$ agentstack add mcp-coderalnaim-memographix ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Memographix
Memographix gives AI coding agents local memory for your repo.
Install it once, run setup once, and keep using Codex, Claude, Cursor, Copilot, Gemini, OpenCode, Aider, Windsurf, or any MCP client normally. Memographix retrieves fresh context before work and captures useful task memory after work.
Quick Start
Run this inside the repo where you want AI-agent memory:
pipx install memographix
mgx setup
mgx doctor --live
mgx verify-agent --repair
mgx savings
pipx avoids system Python conflicts on macOS and Linux. The PyPI package includes the CLI, local indexer, MCP server, and agent integration support. mgx setup creates .memographix/, indexes the repo, writes MCP config for supported agents, registers the repo for global MCP routing, and installs project agent rules. For Codex it also installs a small global Codex skill so new chats know to check Memographix before repo work.
If you are already inside a virtual environment or CI job, this also works:
python -m pip install memographix
PyPI resolves the latest release automatically, so install commands stay versionless.
Daily Use
Use your AI agent normally. In strict mode the agent asks Memographix for fresh context before repo work, captures useful results after work, and marks old memory stale when evidence files change.
mgx doctor --live
mgx verify-agent --repair
mgx heal
mgx guard
mgx savings --since 30d
mgx doctor --live verifies that the MCP server starts, expected tools are available, and the router can resolve this repo. It does not prove your active agent has actually called Memographix yet. mgx verify-agent gives you a short prompt to paste into the agent and passes only after that agent performs a real resolve_task and capture_task. --repair lets Memographix refresh stale MCP config before verification. Restart agents after setup if they were already open. This restart matters because Codex and other agents load MCP tools/rules at chat startup.
Control it per repo:
mgx status
mgx disable --reason "not needed here"
mgx enable
Disabled repos keep existing memory but automatic agent calls return no context and save nothing. Re-enabling refreshes the index before Memographix is used again.
If savings are all zero, Memographix now tells you whether no agent tool calls have been recorded yet. Run mgx doctor --live, mgx verify-agent, restart the agent, and either open the chat from the repo or mention a registered repo name. mgx guard warns when Memographix saw no MCP usage, saw context retrieval without later capture, or sees modified files without any capture event.
Other useful commands:
mgx repos
mgx doctor --live --repair
mgx heal
mgx heal is safe to run repeatedly. It reruns setup, refreshes MCP command paths, reinstalls project rules, registers the repo, and keeps existing memory.
Proof
On the pinned Kubernetes benchmark, Memographix wins the repeated-task metrics it is designed for: lower repeated tokens, faster repeated recall, stale-evidence safety, and the best deterministic quality score. See [Benchmarks](BENCHMARKS.md) for the public corpus, exact commands, honest losses, and unavailable-tool notes.
Boundaries
Memographix does not upload your code, save full chat transcripts by default, treat stale memory as correct, or install benchmark tools in the runtime package.
Docs
- [Benchmarks](BENCHMARKS.md): public Kubernetes results and claim policy.
- [Security](SECURITY.md): local privacy, skipped secrets, and sandbox safety.
- [Agent integrations](docs/AGENT_INTEGRATIONS.md): MCP and agent setup.
- [Architecture](docs/ARCHITECTURE.md): Python/Rust design and storage model.
- [Repeat task memory](docs/REPEATTASKMEMORY.md): capsules and freshness.
- [Contributing](docs/CONTRIBUTING.md): local development and test expectations.
- [PyPI release](docs/PYPI_RELEASE.md): trusted publishing and release checks.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: coderalnaim
- Source: coderalnaim/memographix
- License: MIT
- Homepage: https://pypi.org/project/memographix/
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.