Genesys
Description
Open-source causal graph memory for AI agents. 89.9% on LoCoMo. MCP server with ACT-R scoring, spreading activation, and active forgetting.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
[](https://pypi.org/project/genesys-memory/) [](https://pypi.org/project/genesys-memory/) [](https://github.com/Astrix-Labs/genesys/actions/workflows/ci.yml) [](https://www.gnu.org/licenses/agpl-3.0)
Genesys
**The intelligence layer for AI memory.**
Genesys doesn't just remember what happened; it remembers why. A scoring engine + causal graph + lifecycle manager for AI agent memory. Speaks MCP natively.
LoCoMo benchmark (certified)
| System | Score | Protocol |
|---|---|---|
| Genesys Memory | 85.55 ± 0.37 | Frozen: gpt-4o-mini answerer + judge, temp 0, n=1,540, cats 1–4, 10 runs (July 2026) |
| Zep | 75.14 | Comparable published setup |
| Mem0 | 66.9 | Comparable published setup (Mem0 paper) |
Self-reported vendor figures above ~90 use different answerers/judges and are not comparable — the oracle retrieval ceiling under this frozen protocol is 94.9. Reproduce it yourself: [Astrix-Labs/locomo-harness](https://github.com/Astrix-Labs/locomo-harness) · [full methodology](https://genesys.astrixlabs.ai/developers/methodology) · [per-run results](https://genesys.astrixlabs.ai/benchmarks/locomo).
**Hosted product:** [genesys.astrixlabs.ai](https://genesys.astrixlabs.ai) — your personal memory for AI, carried across ChatGPT, Claude, and every MCP app · [Pricing](https://genesys.astrixlabs.ai/pricing) · [Developer docs](https://genesys.astrixlabs.ai/developers) · [Benchmark methodology](https://genesys.astrixlabs.ai/developers/methodology) (85.55 on LoCoMo, certified over 10 runs, receipts published)
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mem0
| Universal memory layer for AI Agents | 51341 | 221 | 1 |
