mneme
MnemeHQ · MnemeHQ/mneme
Turns architectural decisions and ADRs into deterministic guardrails that keep coding agents and CI from drifting away from your architecture.
Architectural drift prevention for the agentic AI SDLC.
Preview
What you can do with it
- Record architecture decisions and feed them to your agent as context
- Block AI-generated changes that violate agreed rules
- Run an architecture audit to see which decisions are enforced
Safety check
No risky patterns found in the files we scanned.
Automated scan of the repo files. Always review code you run.
From the README
Mneme HQ
Mneme is an open decision and control layer for agentic software development.
It turns durable engineering decisions into agent context, deterministic enforcement, and inspectable enforcement results across AI coding agents, repositories, and CI workflows. Architecture is the first supported decision domain: Mneme prevents architectural drift by turning architectural decisions and ADRs into deterministic guardrails across coding agents, repository mutations, generated rules, and CI gates.
Where is your architecture actually enforced? Run the Architecture Audit to see which decisions are protected, which can become deterministic guardrails, and which still depend on someone remembering the rules. Try it →
Mneme is the decision layer behind that drift-prevention mechanism. It keeps recorded engineering decisions active as AI coding systems propose and modify code, instead of leaving ADRs as passive documentation.
Solid surfaces ship today; dashed surfaces are planned. Support levels per integration: integrations matrix.
Current phase: Layer 1 validation. Retrieval, enforcement, and benchmark semantics are governed by the accepted architecture and freeze record. See Current Phase before changing core behavior.
What Mneme does
Mneme separates architectural guidance from deterministic enforcement:
- Records architectural decisions in a structured, auditable decision corpus.
- Retrieves relevant decisions when an agent or model needs architectural guidance.
- Enforces governed rules deterministically under explicit applicability semantics.
- Integrates at the earliest reliable boundary exposed by each coding workflow.
- Audits bypassable mutation paths where pre-change blocking is not technically available.
- Runs in CI as a final deterministic gate before incompatible changes are accepted.
The same input and governed decision state produce the same enforcement result. Mneme does not depend on an LLM judge for its core allow/warn/fail decisions.
Mneme is not a general-purpose vector store, conversational memory system, autonomous coding agent, or deployment observability platform.
Install
Requires Python 3.11+.
pip install mneme-hq
Verify the CLI:
mneme --help
For repository development:
git clone https://github.com/MnemeHQ/mneme.git
cd mneme
pip install -e ".[dev]"
Decision MCP
Mneme exposes the Decision Index over a local MCP server so MCP-capable clients can propose candidate architectural decisions and query decision state without gaining authority to change that state.
Install the optional MCP dependency:
pip install "mneme-hq[mcp]"
Start the local stdio server. Canonical reads come from the persisted Decision Index in .mneme/project_memory.json by default; the proposal store remains separate.
mneme decision-mcp
Use --memory to select another project memory file. The file must contain a valid authoritative decision_index section; MCP fails closed rather than reconstructing authority from the compatibility decisions[] snapshot.
mneme decision-mcp --memory path/to/project_memory.json
--adr-dir is now optional validation input only. Mneme still validates and precedence-resolves that corpus before startup, but ADRs do not become a second MCP authority source.
mneme decision-mcp --memory path/to/project_memory.json --adr-dir path/to/adrs
The MCP surface is intentionally frozen to six tools:
decision.proposedecision.propose_batchdecision.getdecision.searchdecision.applicable_todecision.trace
Proposal tools create non-authoritative proposals only. Read tools query proposal and canonical decision state. MCP deliberately exposes no accept, reject, activate, supersede, exception, bypass, or trusted-evidence authority.
Human authority remains explicit through mneme decision proposals | show | accept | reject. Accepting a proposal materializes a canonical decision; it does not activate protection or run the Architecture Audit.
See ADR-027 and the v0.9.0 release notes for the authority boundary and release contract.
Architecture Audit
See where your architecture is actually protected — and where it still depends on people remembering the rules.
Mneme audits your repository and shows which architectural decisions are:
- Protected — already enforced mechanically
- Mneme-ready — can be turned into a deterministic guardrail
- Requires modelling — important, but not yet safe to automate
- Guidance — useful context, but not something that should be enforced
Run an audit:
mneme audit --memory .mneme/project_memory.json --repo-root .
For a Mneme-ready decision, validate the proposed protection before enabling it:
mneme protect validate <decision-id> --memory .mneme/project_memory.json
Then explicitly activate it:
mneme protect activate <decision-id> --memory .mneme/project_memory.json
Mneme only reports a decision as Protected after it can verify that real enforcement is in place. The full activation contract is documented in Protection Activation.
60-second enforcement example
Initialize a project-local decision corpus:
mneme init
Record one architectural decision:
mneme add_decision \
--memory .mneme/project_memory.json \
--id config-format \
--decision "Use JSON for configuration files" \
--scope config \
--constraint "Use JSON only" \
--anti-pattern "Do not use YAML"
Create a proposed input that violates it:
python -c "import pathlib; pathlib.Path('