NORTHTEKDevs/genome
by Various
Auditable memory layer for AI agents: zero-LLM-call local ingest (~10ms/msg, air-gapped), matches Mem0 on accuracy at ~1000x lower ingest cost, bi-temporal belief-state, MCP server
MCP
NORTHTEKDevs/genome
Added 13 Sept 2026
Overview
Open source Python memory layer for AI agents. It ingests messages locally without LLM calls, roughly 10ms per message, and can run air-gapped. It provides a bi-temporal belief-state and an MCP server, with benchmark results against Mem0 and LoCoMo/LongMemEval.
Best for
Best for
Developers building cost-sensitive, privacy-focused AI agents
Use cases
- Add persistent memory to an AI agent without per-message LLM costs
- Run agent memory in an air-gapped environment
- Expose memory to MCP-compatible clients via the built-in server
How to use
Install
pip install -e . && python -m genome.verify Tools exposed
gpt-4o-mini
Tested with
Claude Desktop, Claude Code, Cursor, ChatGPT
Notes
Open source Python memory layer for AI agents. It ingests messages locally without LLM calls, roughly 10ms per message, and can run air-gapped. It provides a bi-temporal belief-state and an MCP server, with benchmark results against Mem0 and LoCoMo/LongMemEval.
6 stars on GitHub. Last updated 2026-09-04. Licensed Apache-2.0.
Use cases
- Add persistent memory to an AI agent without per-message LLM costs
- Run agent memory in an air-gapped environment
- Expose memory to MCP-compatible clients via the built-in server
Pros
- Zero LLM calls during ingest, so low cost
- Air-gapped capable
- Apache-2.0 open source
Cons
- Low GitHub stars (6) suggest early-stage project
- Bi-temporal model may have a learning curve
- Benchmarks are self-reported
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Zero LLM calls during ingest, so low cost
- Air-gapped capable
- Apache-2.0 open source
Cons
- Low GitHub stars (6) suggest early-stage project
- Bi-temporal model may have a learning curve
- Benchmarks are self-reported
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Crewai
Community
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
AutoGen
Microsoft
Microsoft's framework for multi-agent conversations. Agents that talk to each other to solve hard problems.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.
