# Agent Platform Memory Bank vs Hy Memory (slim)

> Agent Platform Memory Bank scores 65.6 (B) to Hy Memory's 53.8 (D) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/google-memory-bank-vs-hy-memory.md (~5,450 tokens) · this version ~2,830 tokens · JSON https://www.anchorterminal.com/compare/google-memory-bank-vs-hy-memory.json · canonical https://www.anchorterminal.com/compare/google-memory-bank-vs-hy-memory
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Agent Platform Memory Bank scores 65.6 (B) on agent readiness against Hy Memory's 53.8 (D), and leads in 5 of 7 scored categories. Hy Memory leads on payments & pricing and maintenance & community. Both do agent memory.

- Agent Platform Memory Bank: B 65.6, rank #412 of 1486 · https://www.anchorterminal.com/tools/google-memory-bank.min.md
- Hy Memory: D 53.8, rank #931 of 1486 · https://www.anchorterminal.com/tools/hy-memory.min.md
- Agent Platform Memory Bank, good for Managed long-term memory for agents already on Google Cloud, especially with ADK and Agent Platform Sessions. Ahead on Schema & documentation, 75 against 55; Security & auth, 72 against 37; Transparency & trust, 81 against 63. Also A hosted endpoint, with nothing to install; No incidents deducted, where Hy Memory loses 6 points for them.
- Hy Memory, good for Python teams that want self-hosted layered chat memory, or working and coding memory from tool-call traces, over stores they run. Ahead on Payments & pricing, 60 against 20; Maintenance & community, 76 against 62. Also No key needed to call it; Free to start without a card; Open source.

| Category | Agent Platform Memory Bank | Hy Memory |
| --- | --- | --- |
| Reliability (16%) | 68 | 65 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 75 | 55 |
| Agent ergonomics (13%) | 75 | 72 |
| Security & auth (14%) | 72 | 37 |
| Payments & pricing (10%) | 20 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 62 | 76 |
| Transparency & trust (7%) | 81 | 63 |

| Fact (where they differ) | Agent Platform Memory Bank | Hy Memory |
| --- | --- | --- |
| Kind | HTTP API | SDK + MCP |
| Vendor | Google Cloud | Tencent Hunyuan |
| Hosted endpoint | `https://aiplatform.googleapis.com/v1` | no (local only) |
| Transports | HTTP |  |
| Auth | OAuth | None |
| Pricing | Pay per use | Free |
| Licence | none | Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0) |
| Last release | 2026-08-20 | 2026-11-02 |
| Terms last updated | 2026-09-02 | no document linked |
| Privacy policy last updated | 2026-10-01 | no document linked |
| Customer content may train models | yes | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
| Popularity | none | 27 stars, 147 PyPI/wk |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Payments & pricing, Hy Memory +40: Agent Platform Memory Bank 20 (No x402, MPP or L402 (0). Storage, read and write prices are published without a login (20). No Memory Bank free tier found (0). A person creates the project, enables billing and sets up IAM in the console (0). Total 20.); Hy Memory 60 (Apache-2.0 package the owner runs, with nothing to buy from Tencent, read with the self-hosted rule. 20 for pricing, 20 for a free start and 20 for use without an account. No x402, MPP or L402 in the docs or source (0). Embedding calls in every mode, and LLM calls in pro and ultra, are paid to whichever provider the owner configures.)
- Security & auth, Agent Platform Memory Bank +35: Agent Platform Memory Bank 72 (OAuth 2.0 with IAM and service accounts (30), less 10, as for the other Google API listings, because the v1 discovery document lists `access_token`, `oauth_token` and `key` as query parameters (20 of 30). IAM Conditions can restrict access by memory scope; purge and delete have no confirmation (15 of 20). Memories are written by an LLM from conversation content and returned to agents, with no injection guidance found (5 of 15). Access Transparency and Access Approval are listed; Cloud Audit Logs coverage for Memory Bank wasn't read (12 of 15). Google's valid security.txt, vulnerability reward programme and certifications, with HIPAA listed for Memory Bank (20). Total 72.); Hy Memory 37 (Local-software reading, as for LangMem and Graphiti. The SDK holds no credential of its own and opens no port. LLM and embedder keys come from the environment or a `.env` file. Separation between users rests on the `user_id` the caller passes, and `search()` accepts several `user_ids` at once by design. The bundled `python -m hy_memory.server`, which the OpenClaw plugin starts, listens on 127.0.0.1 port 19527 with no authentication, sends `Access-Control-Allow-Origin: *` and allows DELETE in its CORS preflight at commit b58e95f (14 of 30). No read-only mode. `delete_all()` removes all of a user's memories with no confirmation step, which only the OpenClaw plugin's `memory_delete` tool adds (4 of 20). Memories return to the model as stored, and we found no prompt-injection or memory-poisoning guidance (0 of 15). On by default, `history.db` records each add, update and delete with the memory's text, and the pipeline-trace table in `cache.db` keeps extraction prompts and responses. Since 2.0.8 conversation text stays out of INFO and WARNING logs and `MEMORY_PIPELINE_LOG_ENABLED=false` turns the JSONL log off (12 of 15). SECURITY.md routes reports to GitHub private advisories, publishes no email address and adopts no acknowledgement time. No security.txt on memory.hunyuan.tencent.com or www.tencent.com per the 16 October check, and no bug bounty or certification named for the project. OSV lists no advisory for `hy-memory` on 4 November (7 of 20).)
- Schema & documentation, Agent Platform Memory Bank +20: Agent Platform Memory Bank 75 (Google's discovery document is a machine-readable contract for every memory method (25). No llms.txt or Markdown docs found (0). Method descriptions are 13 to 39 characters, one-line summaries, while the guides explain when to generate from sessions or from direct facts (12 of 20). Typed schemas with required fields in the discovery document (12 of 15). Python examples, a troubleshooting page and a documented 404 for deleted memories (11 of 15). v1 and v1beta1 and dated release notes (15). Total 75.); Hy Memory 55 (Library reading. No OpenAPI or tool schema applies, and the SDK defines no agent tools. Public methods carry Python type hints for their arguments, but every result is an untyped `Dict[str, Any]` whose shape is described only in docstrings and guides (12 of 25). No llms.txt on memory.hunyuan.tencent.com per the 16 October check, not re-read on 4 November. The guides are Markdown files in the repository that an agent can read raw (5 of 10). Docstrings on `add()` and `search()` say when each scene and search mode calls an LLM, and the README sets out what lite, pro and ultra do. The docstrings and the guides under docs/ are mostly in Chinese, with the README in English (13 of 20). `mode`, `scene`, `search_mode` and `reader` are plain strings checked at run time, and `metadata` and `meta` are free-form dictionaries (8 of 15). Worked examples in the README and guides. Since 2.0.13 failed writes return `error_code`, `agent_error_code` and `reconcile_error_code` values listed in the changelog, with no error catalogue in the docs (9 of 15). CHANGELOG.md covers every SDK release from 2.0.1 to 2.0.13, while docs/usage.md still pins 2.0.4 for every install line (8 of 15).)
- Transparency & trust, Agent Platform Memory Bank +18: Agent Platform Memory Bank 81 (Closed service under the Google Cloud terms (15). Data residency at rest, CMEK and the Cloud Data Processing Addendum apply; no Memory Bank retention period or time-to-live was read (20 of 30). The rename was announced in the release notes with old and new names listed, and Google's deprecation policy covers GA services (14 of 20). Google Cloud's subprocessor list and regional endpoints are published (16 of 20). Total 65.); Hy Memory 63 (Apache-2.0 in LICENSE and in pyproject.toml at 2.0.13. CHANGELOG.md says 2.0.1 kept the MIT licence metadata it was published with and 2.0.2 carries Apache-2.0, and the 1.x releases went out with MIT metadata per the 16 October check. The OpenClaw plugin source (1.1.10) says Apache-2.0, while the npm package `openclaw-hy-memory` 1.2.4 was marked MIT per the 16 October check, not re-read on 4 November (25 of 30). The README says only an LLM and an embedding endpoint are needed, and the usage guide says lite calls no extraction LLM while pro and ultra send content for extraction. Nothing says in one place what the SDK keeps on disk. Since 2.0.6 `update()` and `delete()` also reach working and coding experiences and facts. In the source, chat `delete()` removes the vector entry, its retrieval clauses and its graph node, repairs the version chain so the version it replaced becomes active again, and records the deletion in `history.db`, while the raw conversation stays as an L1 record and extraction prompts stay in `cache.db`. 2.0.10 trims assistant and tool turns in stored raw conversations (10 of 30). No deprecation policy. The 2.0.5 default change to coding search and the 2.0.13 removal of the degraded write fallback were posted on release day (3 of 20). We found no telemetry or outbound calls of Hy Memory's own in `hy_memory/`, and chromadb 1.5.9 in uv.lock pulls in no PostHog client. Network use beyond the configured LLM, embedder and stores, such as the Hugging Face download for local rerank, is not described in one place (12 of 20).)
- Maintenance & community, Hy Memory +14: Agent Platform Memory Bank 62 (The newest Memory Bank release notes are of 20 August 2026 (IngestEvents GA, metadata, Gemini Embedding 2), 78 days before the check, and billing started on 1 September (20). Three Memory Bank entries in the 90 days, all on 20 August (10 of 20). Public release notes and Cloud Customer Care (12 of 15). `google-cloud-agentplatform` 2.7.0 on 28 October 2026, twelve releases in 90 days per its PyPI release feed, plus ADK (15). SDK test status not checked (5 of 10). Total 62.); Hy Memory 76 (`hy-memory` 2.0.13 is dated 2 November 2026 in CHANGELOG.md, with the release commit 6c235ef the same day (30). Thirteen SDK releases in the 90 days from 6 August, 2.0.1 on 16 October to 2.0.13 on 2 November, each with a dated changelog entry (20). The 2.0.5 development previews of 21 October aren't counted. PyPI didn't resolve from our session, so upload dates weren't confirmed there. 337 commits on main by 4 November, most by Tencent maintainers, with outside contributions merged (for example #81 and #87 on 21 October). Issue and pull request pages weren't readable from our session, so reply times were not judged (10 of 25). One current official package, Python only. There is no MCP server, so the registry line does not apply (10 of 15). CI with pinned actions runs on every push to main, and a uv.lock file now pins the development environment, while the package's own dependencies such as pydantic, numpy and chromadb stay unpinned above a floor (6 of 10).)