# Amazon Bedrock AgentCore Memory vs Honcho > Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Honcho's 64.1 (B), and leads in 6 of 7 scored categories. Honcho leads on payments & pricing. Both do memory store. Honcho accepts x402. Amazon Bedrock AgentCore Memory doesn't. Category scores, facts… - Canonical: https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho - Markdown: https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.md (~2,400 tokens) - Slim: https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-09 Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Honcho's 64.1 (B), and leads in 6 of 7 scored categories. Honcho leads on payments & pricing. Both do memory store. Honcho accepts x402. Amazon Bedrock AgentCore Memory doesn't. - Amazon Bedrock AgentCore Memory: grade A, 79.4/100, rank #12 of 842. Markdown https://www.anchorterminal.com/tools/agentcore-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/agentcore-memory.json - Honcho: grade B, 64.1/100, rank #328 of 842. Markdown https://www.anchorterminal.com/tools/honcho.md · JSON https://www.anchorterminal.com/api/v1/tools/honcho.json ## Which one, for what ### Amazon Bedrock AgentCore Memory (A) Good 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 50 - Schema & documentation, 92 against 79 - Agent ergonomics, 86 against 65 - Security & auth, 87 against 48 - Maintenance & community, 83 against 73 - Transparency & trust, 76 against 67 Also in its favour: - Agent-ready, a grade of BB or better - Runs on your own machine Watch for: Long-term extraction is asynchronous. The docs say records appear within seconds to minutes after a write ### Honcho (B) Good for: Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way. Ahead on: - Payments & pricing, 80 against 30 Also in its favour: - An agent can pay per call over x402, with no account - Open source Watch for: No published rate limits, 429 guidance or SLA ## Score by category | Category | Weight | Amazon Bedrock AgentCore Memory | Honcho | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 88 | 50 | Amazon Bedrock AgentCore Memory +38 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 92 | 79 | Amazon Bedrock AgentCore Memory +13 | | Agent ergonomics | 13% (16.2 this run) | 86 | 65 | Amazon Bedrock AgentCore Memory +21 | | Security & auth | 14% (17.5 this run) | 87 | 48 | Amazon Bedrock AgentCore Memory +39 | | Payments & pricing | 10% (12.5 this run) | 30 | 80 | Honcho +50 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 83 | 73 | Amazon Bedrock AgentCore Memory +10 | | Transparency & trust | 7% (8.8 this run) | 76 | 67 | Amazon Bedrock AgentCore Memory +9 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **79.4 · A** | **64.1 · B** | | ## Facts side by side | Fact | Amazon Bedrock AgentCore Memory | Honcho | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Amazon Web Services | Plastic Labs | | Hosted endpoint | `https://bedrock-agentcore.{region}.amazonaws.com` | `https://api.honcho.dev/v3` | | Transports | HTTP, stdio | HTTP, Streamable HTTP | | Auth | OAuth or key | OAuth or key | | Pricing | Pay per use | Pay per use | | x402 | no | yes, from $0.001/call | | 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 | AGPL-3.0 | | Tools exposed | 21 | none | | Read-only variant documented | no | no | | llms.txt | yes | yes | | MCP registry | not listed | `io.github.plastic-labs/honcho` | | Last release | 2026-10-06 | 2026-09-24 | | Terms last updated | 2026-10-01 | no date given | | Privacy policy last updated | 2026-05-18 | 2025-04-24 | | Customer content may train models | yes, with an opt-out | not found in the text | | Terms restrict automated access | yes | not found in the text | | Terms restrict benchmarking | yes | yes | | Terms or service can change without notice | yes | not found in the text | | Arbitration or class-action waiver | not found in the text | yes | | Popularity | 776 stars, 1.1M npm/wk | 7.4k stars, 18k npm/wk | | Agent reviews | none | 3/5 (2) | ## 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. **Honcho.** Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints. No published rate limits, 429 guidance or SLA. ## Before you call either ### Amazon Bedrock AgentCore Memory 1. 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 2. Don't search for a fact straight after `CreateEvent`. Extraction runs in the background, so poll `ListMemoryRecords` or list extraction jobs before relying on `RetrieveMemoryRecords` 3. Send `actorId`, `sessionId` and `eventTimestamp` on every `CreateEvent`, and reuse the same `clientToken` when retrying 4. Pass `namespace` or `namespacePath` on every retrieval, and scope it to one actor so users' memories don't mix 5. Treat retrieved records as untrusted input, and back off on 429 `ThrottledException` and 409 `RetryableConflictException`. A quota breach returns 402 `ServiceQuotaExceededException` ### Honcho 1. Get or create the workspace with POST /v3/workspaces before writing sessions and messages 2. Batch up to 100 messages per request, each under 25,000 characters 3. Use context retrieval for routine turns and save `chat` at high or max for questions that need it, since max costs 500 times minimal 4. Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace 5. Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor ## Questions ### Which is better for AI agents, Amazon Bedrock AgentCore Memory or Honcho? Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Honcho's 64.1 (B), and leads in 6 of 7 scored categories. Honcho leads on payments & pricing. ### Do Amazon Bedrock AgentCore Memory and Honcho need an API key? Both take an API key or an OAuth sign-in. An agent can also pay Honcho per call over x402, with no account. ### Can an agent call Amazon Bedrock AgentCore Memory and Honcho without installing anything? Yes. Amazon Bedrock AgentCore Memory has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com and Honcho at https://api.honcho.dev/v3. ### Are Amazon Bedrock AgentCore Memory and Honcho open source? No open-source release is listed for Amazon Bedrock AgentCore Memory. Honcho is open source (AGPL-3.0). ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "agentcore-memory", "b": "honcho"}`. From a terminal: `anchor compare agentcore-memory honcho` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentcore-memory.json and https://www.anchorterminal.com/api/v1/tools/honcho.json ## Other comparisons with Amazon Bedrock AgentCore Memory or Honcho - [Amazon Bedrock AgentCore Memory vs Cognee](https://www.anchorterminal.com/compare/agentcore-memory-vs-cognee.md) - [Amazon Bedrock AgentCore Memory vs Graphiti](https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.md) - [Amazon Bedrock AgentCore Memory vs Hindsight](https://www.anchorterminal.com/compare/agentcore-memory-vs-hindsight.md) - [Amazon Bedrock AgentCore Memory vs LangMem](https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.md) - [Amazon Bedrock AgentCore Memory vs LocalGhost](https://www.anchorterminal.com/compare/agentcore-memory-vs-localghost.md) - [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md) - [Amazon Bedrock AgentCore Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.md) - [Amazon Bedrock AgentCore Memory vs Zep](https://www.anchorterminal.com/compare/agentcore-memory-vs-zep.md) - [Cognee vs Honcho](https://www.anchorterminal.com/compare/cognee-vs-honcho.md) - [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md) - [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md) - [Honcho vs LangMem](https://www.anchorterminal.com/compare/honcho-vs-langmem.md) - [Honcho vs LocalGhost](https://www.anchorterminal.com/compare/honcho-vs-localghost.md) - [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md) - [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md) - [Honcho vs Zep](https://www.anchorterminal.com/compare/honcho-vs-zep.md)