# Memory for AI agents

What the agent still knows tomorrow.

7 options tracked · 6 open source · 6 self-hostable · optional

## All options

| Option | What it does | Licence | Self-host | Page |
| --- | --- | --- | --- | --- |
| Mem0 | Extracts durable facts from conversations and recalls them on the next turn. | open source | yes | https://newagent.build/c/mem0 |
| Zep | Temporal knowledge graph memory — facts with validity windows, not just embeddings. | open source | yes | https://newagent.build/c/zep |
| Honcho | Treats memory as a reasoning problem, not a retrieval one — you ask its Dialectic API a question about the user and get a synthesised answer. | open source | yes | https://newagent.build/c/honcho |
| Supermemory | Memory graph plus automatic user profiles, with connectors that sync from Drive, Gmail, Notion and GitHub. | proprietary | no | https://newagent.build/c/supermemory |
| LangMem | Memory primitives that plug straight into LangGraph checkpoints. | open source | yes | https://newagent.build/c/langmem |
| Cognee | Builds a graph + vector memory layer over your agent's history and documents. | open source | yes | https://newagent.build/c/cognee |
| Postgres (rolled by hand) | A messages table and a summaries table. Boring, auditable, yours. | open source | yes | https://newagent.build/c/postgres-memory |

## Benchmark: LoCoMo

Question-answering accuracy over long, multi-session conversations.

- Mem0: 92.5% — self-reported, Mem0 research page, 2026-08. https://mem0.ai/research
- Mem0: 62.47% — independent, Memori Labs evaluation, 2026-08. https://memorilabs.ai/docs/memori-cloud/benchmark/results/
- Zep: 79.09% — independent, Memori Labs evaluation, 2026-08. https://memorilabs.ai/docs/memori-cloud/benchmark/results/
- Zep: 58.44% — independent, Corrected evaluation, zep-papers #5, 2026-08. https://github.com/getzep/zep-papers/issues/5
- LangMem: 78.05% — independent, Memori Labs evaluation, 2026-08. https://memorilabs.ai/docs/memori-cloud/benchmark/results/
- Letta: 83.2% — self-reported, Reported in comparative write-up, 2026-08. https://mem0.ai/blog/benchmarked-openai-memory-vs-langmem-vs-memgpt-vs-mem0-for-long-term-memory-here-s-how-they-stacked-up

> Treat every figure here as contested. Most headline LoCoMo numbers are produced by the vendor being measured, and independent re-runs have differed from vendor claims by as much as 30 points on the same benchmark name. The spread between rows is the story, not the winner.

## 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`.