Normalized Telegram record

OpenHuman Builds a Personal Harness Around Local Memory

OpenHuman combines personal data, memory, tools, and an operator layer into a durable system instead of another isolated assistant chat.

Signal contract

OpenHuman combines personal data, memory, tools, and an operator layer into a durable system instead of another isolated assistant chat. This dated record adds public evidence to the company memory needs write loops, agent ready software exposes capabilities analysis and keeps the claim auditable as the underlying products and practices change. Novelty: notable. Verification: source-linked.

Source ledger

Publishable sources attached to this record.

2 public sources
#SourceRolePublic status
1tinyhumans.aisourceprimary receiptsource_urls
2github.comreposupporting receiptsource_urls

Observation

OpenHuman combines personal data, memory, tools, and an operator layer into a durable system instead of another isolated assistant chat.

Why it matters

This dated record adds public evidence to the company memory needs write loops, agent ready software exposes capabilities analysis and keeps the claim auditable as the underlying products and practices change.

Entities

No named entity extracted.

Provenance

This public record is an English normalization of QWG AI Telegram message 2425. The complete original-language post remains the canonical raw message.

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Discovery graph / next reads

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  1. 01patternCompany memory needs write and correction loopsPattern connected to this observed signal.
  2. 02patternAgent-ready software exposes capabilitiesPattern connected to this observed signal.
  3. 03topicAgent memory - New RuntimeExplore the agent memory topic hub.
  4. 04related materialmem0: Experiment 2: Does a preference survive a hard context wipe?Shares agent memory.
  5. 05related materialLetta: Opus 5 is now available in Letta!Shares agent memory.

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