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Reframe

Reframe provides an organized work environment that centralizes and persists shared context across all applications, files, and AI agents. Its open, protocol‑driven Cortex Layer stores decisions and references as immutable, addressable Artipoints, enabling continuous, up‑to‑date context for humans and AI without manual copy‑paste or app switching. The solution is built on the Agent Shared Cognition Protocol (ASCP), offering encrypted, append‑only logs and a local‑first sync model for user‑owned, resilient coordination.

New York, United StatesFounded 20213300+ followers
Updated 2 months ago

Funding

$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

2OEV
Funding rounds are not available yet.

Founders

Product

Problem

Knowledge workers and AI‑assisted teams are forced to juggle multiple applications, tabs, and tools, constantly copying, pasting, and re‑prompting to keep context aligned. This fragmented workflow leads to lost information, duplicated effort, and reduced productivity.

Solution

Reframe creates an Organized Work Environment that centralizes and persists shared context across all applications, files, and AI agents. At its core is the Cortex Layer, an open, protocol‑driven substrate that stores decisions, references, and meaning as immutable, addressable “Artipoints.” The layer is accessed via the Agent Shared Cognition Protocol (ASCP), an IETF‑aligned standard that provides encrypted, append‑only logs and a local‑first synchronization model, ensuring user‑owned, resilient context. By exposing a reference implementation and example clients, Reframe enables developers to embed the protocol into their tools, allowing humans and AI to read and write a common, structured knowledge graph without manual coordination. The result is continuous, up‑to‑date context for every participant and tool, eliminating copy‑paste, reducing app switching, and freeing users to focus on substantive work.

Target Audience

Primary customers are software teams building AI assistants, collaboration platforms, and enterprise productivity tools that require a shared, persistent context layer, as well as organizations seeking to streamline knowledge‑worker workflows across heterogeneous applications.

Features

  • Agent Shared Cognition Protocol (ASCP)
  • open, vendor‑neutral standard for expressing and distributing shared cognitive atoms (Artipoints)
  • Immutable, addressable Artipoints that capture decisions, references, and meaning across tools and time
  • Encrypted channels and append‑only logs providing privacy, trust, and auditability
  • Local‑first architecture with automatic sync, keeping context user‑owned and resilient to connectivity issues
  • Free, open‑source reference implementation demonstrating Streams, Spaces, and Channels for developers
  • Compatibility layer for integrating existing desktop apps, browsers, and AI agents via the protocol
  • Structured coordination grammar that makes context explicit, evolvable, and machine‑readable
This profile is AI-generated and may contain inaccuracies.