# Mem0 vs Honcho

Both are open source memory options with comparable terms, so the choice comes down to which model of the problem you prefer — compare the descriptions below rather than the licence.

| | Mem0 | Honcho |
| --- | --- | --- |
| Licence | Open source | Open source |
| Pricing | freemium | freemium |
| Self-hostable | Yes | Yes |
| Languages | Python, TypeScript | Python, TypeScript |
| Install | pip install mem0ai | — |
| Keys required | MEM0_API_KEY | None |

## Mem0 — published scores

- LoCoMo: 92.5% — self-reported, Mem0 research page, 2026-08. https://mem0.ai/research
- LoCoMo: 62.47% — independent, Memori Labs evaluation, 2026-08. https://memorilabs.ai/docs/memori-cloud/benchmark/results/

## Full pages

- https://newagent.build/c/mem0
- https://newagent.build/c/honcho

## Machine interfaces

- `GET https://newagent.build/api/registry` — every component as JSON
- `GET https://newagent.build/api/vendors` — vendors, with the repo and releases feed to watch
- `GET https://newagent.build/api/advise?q=<plain english>` — recommended stack for a description
- `GET https://newagent.build/api/stack?<layer>=<id>&format=sh|json|md|yml|agents|env` — a stack as files
- `GET https://newagent.build/llms.txt` — the whole registry in one fetch

Any page here also returns markdown if you send `Accept: text/markdown`.