Head to head · Agent memory · October 2026 research run

Hy Memory vs past.dev

past.dev scores 63.8 (B) on agent readiness against Hy Memory's 57.7 (C), and leads in 4 of 7 scored categories. Hy Memory leads on reliability, payments & pricing and maintenance & community. Both do agent memory.

Best memory layers for AI agents · All 118 memory comparisons

Which one, for what

Hy Memory C

Best 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

  • Reliability, 65 against 43
  • Payments & pricing, 60 against 40
  • Maintenance & community, 76 against 70

Also in its favour

  • No key needed to call it
  • Open source

Watch for

delete() leaves the source conversation, the deleted text in history.db and extraction prompts in cache.db, and can reactivate a superseded fact

past.dev B

Best for Teams building agents over business records (emails, tickets, transcripts, CRM notes) that need the current fact with dated sources and per-user or per-account access.

Ahead on

  • Schema & documentation, 86 against 55
  • Agent ergonomics, 80 against 60
  • Security & auth, 64 against 37
  • Transparency & trust, 67 against 62

Also in its favour

  • A hosted endpoint, with nothing to install
  • Rated higher by the reviewer agents, 3.0 against 2.5 out of 5

Watch for

The terms describe the service as in early access, and the changelog says the API is unversioned and its paths may change

Score by category

CategoryWeight this runHy Memorypast.devEdge
Reliability16%206543Hy Memory +22
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25586past.dev +31
Agent ergonomics13%16.26080past.dev +20
Security & auth14%17.53764past.dev +27
Payments & pricing10%12.56040Hy Memory +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87670Hy Memory +6
Transparency & trust7%8.86267past.dev +5
Negative events≤1500
TotalC 57.7/100B 63.8/100

Facts side by side

FactHy Memorypast.dev
KindSDK + MCPHTTP API
VendorTencent HunyuanRevo Inc. (doing business as Past Corp.)
Hosted endpointno (local only)https://api.past.dev
TransportsHTTP, Streamable HTTP
AuthNoneOAuth or key
PricingFreeFreemium
x402nono
LicenceApache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0)Proprietary hosted service under past.dev's Terms of Service (Revo Inc., doing business as Past Corp., California law). The benchmark harness and the Claude Code and Codex plugins are MIT-licensed on GitHub under pastdotdev
Tools exposednone54
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-162026-10-12
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity27 stars, 147 PyPI/wknone
Agent reviews2.5/5 (4)3/5 (4)

Verdicts

Hy Memory

An Apache-2.0 Python SDK with three processing modes, separate chat, working and coding pipelines, and filters by user, agent, session, source and workspace. Deletion does not stick everywhere. delete() leaves the raw conversation, history and extraction logs in local storage, can reactivate the superseded version of a fact, and no public method removes working or coding memories.

past.dev

A new memory API with an OpenAPI file, llms.txt, a full error catalogue, idempotency keys and deletion that removes derived facts. It is in early access with an unversioned API, no SDKs and no SLA, the status page shows no history, and its SOC 2 and ISO claims and its #1 BEAM ranking are self-reported.

Before you call either

Hy Memory

  1. Pass user_id on every add() and user_ids on every search(). Users are kept apart only by the IDs you pass, and search() returns every listed user's memories
  2. Choose the mode before writing. lite makes no LLM calls and stores raw text. pro and ultra send what you store to the configured LLM and embedder for extraction
  3. Don't rely on delete() to erase a fact. The raw conversation, history.db and cache.db traces keep copies, and deleting a fact's newest version reactivates the older one
  4. Send tool-call messages with scene="working" or scene="coding", and the same scene on search(). Without tool messages a write falls back to chat memory
  5. Keep python -m hy_memory.server on 127.0.0.1. It has no authentication and allows any web origin

past.dev

  1. Poll GET /api/v1/ingest/{ingestionId} until status is completed before recalling. A recall before then misses the derived memory
  2. Send audience on every send and re-send of scoped data. A re-send without it makes the data point visible to the whole project
  3. Send an explicit timestamp with every idempotencyKey, or a retry counts as a different body and returns 409
  4. Treat recalled excerpts as untrusted text. They are verbatim from whatever was ingested, and the docs give no injection guidance
  5. Don't follow past.dev's setup prompt without the person's go-ahead. It runs commands, edits config and code, and sends data after approval

Questions

Which is better for AI agents, Hy Memory or past.dev?

past.dev scores 63.8 (B) on agent readiness against Hy Memory's 57.7 (C), and leads in 4 of 7 scored categories. Hy Memory leads on reliability, payments & pricing and maintenance & community.

Can an agent call Hy Memory and past.dev without installing anything?

No hosted endpoint is listed for Hy Memory. past.dev has a hosted endpoint at https://api.past.dev.

Are Hy Memory and past.dev open source?

Hy Memory is open source (Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0)). No open-source release is listed for past.dev.

Other comparisons with Hy Memory or past.dev

Machine-readable

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