The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Install
pip install mneme-hqInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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
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