# Best memory layers for AI agents (slim)

> Amazon Bedrock AgentCore Memory (A), Zep (B) and Honcho (B) lead the 10 ranked memory layers. Picks by need, strengths, weaknesses and prices from the Anchor benchmark.

- Full: https://www.anchorterminal.com/best/agent-memory/index.md (~5,300 tokens) · this version ~1,330 tokens · JSON https://www.anchorterminal.com/best/agent-memory/index.json · canonical https://www.anchorterminal.com/best/agent-memory/
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-08

All 10 ranked memory layers on the Anchor benchmark, with a pick for each need and where each one falls short. Scores come from public evidence, re-checked as vendors change.

- Ranked: 10 · agent-ready (BB or better): 1 · accept x402: 1 · hosted endpoints: 7
- Full ranked table: https://www.anchorterminal.com/categories/agent-memory.md
- Head-to-head comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md (55)
- Methodology: https://www.anchorterminal.com/benchmark/index.md

## The shortlist

| # | Tool | Grade | Score | Best for | Price | Where |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Amazon Bedrock AgentCore Memory](https://www.anchorterminal.com/tools/agentcore-memory.md) | A | 79.4 | Teams already on AWS that want per-user memory under IAM, KMS and Regional controls, with extraction run for them. | $1 / GB | hosted and local |
| 2 | [Zep](https://www.anchorterminal.com/tools/zep.md) | B | 69.3 | Agents that must track how facts about a person or account change over time, inside a team that needs access policies and audit logs. | $125 / mo | hosted |
| 3 | [Honcho](https://www.anchorterminal.com/tools/honcho.md) | B | 64.1 | Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way. | $0.001 / call | hosted |
| 4 | [Supermemory API + MCP](https://www.anchorterminal.com/tools/supermemory.md) | B | 63.6 | Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user. | $19 / mo | hosted |
| 5 | [Mem0 Platform + MCP](https://www.anchorterminal.com/tools/mem0.md) | C | 56.1 | Chat products that want per-user facts back with one search call and little setup. | $19 / mo | hosted |
| 6 | [Cognee](https://www.anchorterminal.com/tools/cognee.md) | C | 54.6 | Agents whose memory has to include documents, wikis and chat tools as well as conversation, and for teams happy to self-host. | $5 / mo | hosted and local |
| 7 | [Memory (MCP reference server)](https://www.anchorterminal.com/tools/memory-reference-server.md) | C | 54.2 | A single local agent that wants a small, inspectable store of facts about people and projects. | Free · OSS | local |
| 8 | [Graphiti](https://www.anchorterminal.com/tools/graphiti.md) | D | 53.3 | Teams that want Zep's temporal graph model on their own infrastructure and can run a graph database. | Free · OSS | library |
| 9 | [Hindsight](https://www.anchorterminal.com/tools/hindsight.md) | D | 50.2 | Agents that should form opinions and summaries from what they stored, such as long-running assistants or copilots that reflect on past sessions. | $0.05 / call | hosted |
| 10 | [LangMem](https://www.anchorterminal.com/tools/langmem.md) | D | 47.9 | Teams already on LangGraph that want memory tools and background extraction over a store they run. | Free · OSS | local |

## Picks by need

- Highest score overall: [Amazon Bedrock AgentCore Memory](https://www.anchorterminal.com/tools/agentcore-memory.md), A, 79.4/100 on the benchmark. Also [Zep](https://www.anchorterminal.com/tools/zep.md), B, 69.3/100.
- Maintenance & community: [Supermemory API + MCP](https://www.anchorterminal.com/tools/supermemory.md), 85/100 on maintenance & community, against 83 for the overall leader.
- Paying per call with no account (x402): [Honcho](https://www.anchorterminal.com/tools/honcho.md), accepts x402, $0.001 a call.
- A hosted MCP endpoint: [Zep](https://www.anchorterminal.com/tools/zep.md), remote MCP server, nothing to install.
- Self-hosting under an open licence: [Honcho](https://www.anchorterminal.com/tools/honcho.md), self-hosted, AGPL-3 licence. Also [Supermemory API + MCP](https://www.anchorterminal.com/tools/supermemory.md), self-hosted, MIT licence.

## How to choose

- Recall of early facts: Check whether facts from early sessions come back after many later ones, since a memory layer that forgets the first sessions can hand the agent stale context.
- Updates to changed preferences: Check that a changed preference replaces the old value rather than sitting beside it, because an agent that recalls both may act on the outdated one.
- Deletion that sticks: Check that a deleted fact stops appearing in recall and whether copies remain in logs or derived indexes, since a fact that returns after deletion is a privacy failure.
- Where memory is stored and encrypted: Check where the memory store is hosted, how it is encrypted and whether the vendor trains on what you send, because a user's history is personal data.

- How the benchmark tests this category: One user's history fed in over several sessions, then questions that need facts from early on, a changed preference and a deleted fact. We check what comes back, how fast, and whether the deletion sticks.

Each listing's verdict, strengths and weaknesses: https://www.anchorterminal.com/best/agent-memory/index.md