ECHO
Context and narrative layer built on top of Heisenberg.
ECHO is the human-facing context engine of the Heisenberg ecosystem. It transforms raw signals produced by Data Agents into structured narratives, shared understanding, and coordinated action. ECHO is not a social tool on its own—it's an execution layer where high-quality context meets human judgment, enabling communities and agents to interact with information in a way that compounds over time.
Where Context Compounds | https://echo.heisenberg.so
What ECHO Does
ECHO sits downstream of Data Agents and the Data Agent Marketplace, consuming structured signals, enriched context, and narrative primitives. It then exposes them in a form that humans and agents can interact with, refine, and evolve. ECHO is both a consumer of agent output and a producer of higher-quality context back into the system.
Core Capabilities:
- Narrative Structuring - Turns fragmented signals into coherent narratives that are easy to reason about and act on
- Context Refinement - Human interaction improves signal quality, relevance, and downstream usefulness
- Alignment Layer - Helps groups of users, communities, or agents stay aligned around shared context instead of isolated feeds
- Persistent Memory - Narratives, insights, and interactions compound over time, creating a living context graph rather than disposable content
ECHO enables shared understanding of what matters right now, alignment around emerging narratives, high-signal human feedback loops, and persistent context that improves future agent outputs.
Why ECHO Matters
ECHO is how Heisenberg closes the loop. Instead of agents operating in isolation, ECHO enables self-improving context through human feedback, higher quality agent personalization, long-term narrative memory, and measurable signal evolution. As more interaction flows through ECHO, agents become better grounded, more relevant, and aligned with real-world understanding.
ECHO serves projects and organizations that need shared situational awareness, communities that want to coordinate around high-quality context, and agents and applications that benefit from refined, human-validated signals.