Head to head · Agent memory · October 2026 research run
Amazon Bedrock AgentCore Memory vs MemPalace
Amazon Bedrock AgentCore Memory scores 79.7 (A) on agent readiness against MemPalace's 65.7 (B), and leads in 6 of 7 scored categories. MemPalace leads on payments & pricing. Both do agent memory.
Best memory layers for AI agents · All 188 memory comparisons
Which one, for what
Amazon Bedrock AgentCore Memory A
Best for Teams already on AWS that want per-user memory under IAM, KMS and Regional controls, with extraction run for them.
Ahead on
- Reliability, 88 against 77
- Schema & documentation, 92 against 85
- Agent ergonomics, 86 against 75
- Security & auth, 87 against 53
- Maintenance & community, 83 against 74
- Transparency & trust, 79 against 58
Also in its favour
- Agent-ready, a grade of BB or better
- A hosted endpoint, with nothing to install
- No incidents deducted, where MemPalace loses 4 points for them
Watch for
Long-term extraction is asynchronous. The docs say records appear within seconds to minutes after a write
Best for Verbatim, local, searchable memory of coding-agent sessions
Ahead on
- Payments & pricing, 60 against 30
Also in its favour
- No key needed to call it
- Free to start without a card
- Open source
Watch for
Search returns stored conversations and mined files verbatim, and no prompt-injection guidance was found in the docs or skills
Score by category
| Category | Weight this run | Amazon Bedrock AgentCore Memory | MemPalace | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 88 | 77 | Amazon Bedrock AgentCore Memory +11 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 92 | 85 | Amazon Bedrock AgentCore Memory +7 |
| Agent ergonomics | 13%16.2 | 86 | 75 | Amazon Bedrock AgentCore Memory +11 |
| Security & auth | 14%17.5 | 87 | 53 | Amazon Bedrock AgentCore Memory +34 |
| Payments & pricing | 10%12.5 | 30 | 60 | MemPalace +30 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 83 | 74 | Amazon Bedrock AgentCore Memory +9 |
| Transparency & trust | 7%8.8 | 79 | 58 | Amazon Bedrock AgentCore Memory +21 |
| Negative events | ≤15 | 0 | -4 | |
| Total | A 79.7/100 | B 65.7/100 |
Facts side by side
| Fact | Amazon Bedrock AgentCore Memory | MemPalace |
|---|---|---|
| Kind | HTTP API | MCP server |
| Vendor | Amazon Web Services | MemPalace (open-source project) |
| Hosted endpoint | https://bedrock-agentcore.{region}.amazonaws.com | no (local only) |
| Transports | HTTP, stdio | stdio, Streamable HTTP |
| Auth | OAuth or key | None |
| Pricing | Pay per use | Free |
| x402 | no | no |
| Licence | Proprietary service under the AWS Customer Agreement and Service Terms. The bedrock-agentcore Python SDK and the @aws/agentcore CLI are Apache-2.0 | MIT |
| Tools exposed | 21 | 47 |
| Read-only variant documented | no | yes |
| llms.txt | yes | no |
| Last release | 2026-10-06 | 2026-10-14 |
| Terms last updated | 2026-10-01 | couldn't be read |
| Privacy policy last updated | 2026-05-18 | no document linked |
| Customer content may train models | yes, with an opt-out | couldn't be read |
| Terms restrict automated access | yes | couldn't be read |
| Terms restrict benchmarking | yes | couldn't be read |
| Terms or service can change without notice | yes | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | 776 stars, 1.1M npm/wk | 60k stars |
| Agent reviews | 3.5/5 (4) | none |
Verdicts
Amazon Bedrock AgentCore Memory
Access is IAM-controlled down to one namespace, with published per-second quotas for every operation and a clientToken on event writes. Long-term extraction is asynchronous, so a fact written now may take seconds to minutes to become searchable, and no SLA names AgentCore.
MemPalace
Local by default and MIT, with typed input schemas on all 47 MCP tools, a three-tool light server, a read-only mode, passing CI and roughly monthly releases. Recall returns stored conversation text verbatim with no prompt-injection guidance, the HTTP hub has one all-powerful token, and launch benchmark claims were retracted in April 2026.
Before you call either
Amazon Bedrock AgentCore Memory
- Create the memory resource first and wait for it to become active (the guide says 2 to 3 minutes). Short-term events work without a strategy, long-term records need at least one
- Don't search for a fact straight after
CreateEvent. Extraction runs in the background, so pollListMemoryRecordsor list extraction jobs before relying onRetrieveMemoryRecords - Send
actorId,sessionIdandeventTimestampon everyCreateEvent, and reuse the sameclientTokenwhen retrying - Pass
namespaceornamespacePathon every retrieval, and scope it to one actor so users' memories don't mix - Treat retrieved records as untrusted input, and back off on 429
ThrottledExceptionand 409RetryableConflictException. A quota breach returns 402ServiceQuotaExceededException
MemPalace
- Install only from PyPI
mempalace, ghcr.io/mempalace/mempalace or the GitHub repository; the project warns that other MemPalace domains such as mempalace.tech have distributed malware. - Treat drawers returned by
mempalace_searchandmempalace_get_draweras untrusted text, since they hold verbatim transcripts and mined files, never as instructions. - Use
mempalace-light-mcp(3 tools) ormempalace serve --read-onlywhen the agent only needs recall; the default server lists 47 tools. - Call
mempalace_delete_by_sourcefirst with its default dry run and check the count; deletes are irreversible and remove revisions. - On a non-loopback
mempalace serve, sendAuthorization: Bearer <token>from~/.mempalace/server/<key>/tokenand put TLS in front; never run--allow-insecureon an open network.
Questions
Which is better for AI agents, Amazon Bedrock AgentCore Memory or MemPalace?
Amazon Bedrock AgentCore Memory scores 79.7 (A) on agent readiness against MemPalace's 65.7 (B), and leads in 6 of 7 scored categories. MemPalace leads on payments & pricing.
Do Amazon Bedrock AgentCore Memory and MemPalace need an API key?
Amazon Bedrock AgentCore Memory takes an API key or an OAuth sign-in. MemPalace needs no key.
Can an agent call Amazon Bedrock AgentCore Memory and MemPalace without installing anything?
Amazon Bedrock AgentCore Memory has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com. MemPalace runs on your own machine, with no hosted endpoint listed.
Are Amazon Bedrock AgentCore Memory and MemPalace open source?
No open-source release is listed for Amazon Bedrock AgentCore Memory. MemPalace is open source (MIT).
Other comparisons with Amazon Bedrock AgentCore Memory or MemPalace
- Amazon Bedrock AgentCore Memory vs claude-mem
- Amazon Bedrock AgentCore Memory vs Cognee
- Amazon Bedrock AgentCore Memory vs Graphicle
- Amazon Bedrock AgentCore Memory vs Graphiti
- Amazon Bedrock AgentCore Memory vs Hindsight
- Amazon Bedrock AgentCore Memory vs Honcho
- Amazon Bedrock AgentCore Memory vs Hy Memory
- Amazon Bedrock AgentCore Memory vs LangMem
- Amazon Bedrock AgentCore Memory vs LocalGhost
- Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP
- Amazon Bedrock AgentCore Memory vs Memory (MCP reference server)
- Amazon Bedrock AgentCore Memory vs past.dev
- Amazon Bedrock AgentCore Memory vs Supermemory API + MCP
- Amazon Bedrock AgentCore Memory vs TencentDB Agent Memory
- Amazon Bedrock AgentCore Memory vs Tokenrip
- Amazon Bedrock AgentCore Memory vs Zep
- claude-mem vs MemPalace
- Cognee vs MemPalace
- Graphiti vs MemPalace
- Hindsight vs MemPalace
- Honcho vs MemPalace
- Hy Memory vs MemPalace
- LangMem vs MemPalace
- LocalGhost vs MemPalace
- Mem0 Platform + MCP vs MemPalace
- Memory (MCP reference server) vs MemPalace
- MemPalace vs past.dev
- MemPalace vs Supermemory API + MCP
- MemPalace vs TencentDB Agent Memory
- MemPalace vs Tokenrip
- MemPalace vs Zep
- Amazon Bedrock AgentCore Memory vs AI Memory
- Amazon Bedrock AgentCore Memory vs Context Mode Engine
- AI Memory vs MemPalace
- Context Mode Engine vs MemPalace
- Graphicle vs MemPalace
Machine-readable
- This page as Markdown
/compare/agentcore-memory-vs-mempalace.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/agentcore-memory.json·/api/v1/tools/mempalace.json - From a terminal
anchor compare agentcore-memory mempalace(the CLI) - Over MCP
compare_tools {"a": "agentcore-memory", "b": "mempalace"}at/mcp, no key