Context layer for engineering teams
Shared context for engineering teams.
Give every engineer and coding agent the same relevant context - searched six ways, scoped by access controls, and inspectable over time.
curl -sSfL https://install.memory.build | sh && me loginFor engineering organizations that want agent workflows grounded in real team context, not scattered prompts, stale docs, and private assistant memory.
The next bottleneck
The problem is no longer access to tokens. It is access to the right context.
Agents can read more, generate more, and act faster. Larger context windows still do not solve context quality.
Engineering organizations run on facts, decisions, ownership, procedures, incidents, migrations, conventions, and history. That context is fragmented across too many systems.
Context layer, defined
A shared system for storing, retrieving, and governing engineering context.
A context layer sits between engineering knowledge and the agents that need to act on it. It stores durable context, retrieves the right pieces, respects access boundaries, and stays inspectable.
Store
Persist engineering facts, decisions, history, instructions, and operating knowledge beyond individual sessions.
Search
Retrieve context by meaning, keyword, time, metadata, hierarchy, or hybrid ranking.
Scope
Share context while preserving access boundaries across teams, projects, and orgs.
Inspect
Keep context visible, editable, and understandable in PostgreSQL.
Six-mode search
Engineering context needs more than semantic similarity.
Some questions are conceptual. Some depend on exact names, time windows, ownership, hierarchy, or policy metadata. A shared context layer needs all of those retrieval paths.
Semantic
Find context by meaning when the wording does not match.
Keyword
Match exact services, APIs, identifiers, packages, acronyms, and names.
Temporal
Recover what happened before, after, or during a specific work window.
Metadata
Filter by project, owner, service, status, source, environment, or policy.
Hierarchy
Scope context to nested teams, systems, services, domains, or paths.
Hybrid
Fuse multiple signals so ranking reflects the shape of the question.
Governed sharing
The org needs shared context. Security still matters.
The best context layer is not a giant shared notebook. Context should be shared, scoped, audited, corrected, and trusted.
Shared context without losing control.
Make engineering context available to the right teams, projects, and agents with access-aware memory built on Postgres.
curl -sSfL https://install.memory.build | sh && me loginBuild the shared context layer
Give your engineering org context that compounds.
Store, search, govern, and reuse the context your agents need to work well.
curl -sSfL https://install.memory.build | sh && me loginFAQ
How is this different from enterprise search?
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Enterprise search helps people find documents. This context layer is focused on engineering facts, decisions, history, instructions, and agent retrieval workflows.
How is this different from assistant memory?
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Assistant memory is often tied to one tool or user. This is shared, inspectable, access-aware, and available through MCP-compatible clients.
Why does Postgres matter?
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Postgres makes context operationally familiar. Teams can inspect, query, refine, migrate, and back up what agents rely on.
What should we put in the context layer first?
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Start with high-reuse context: decisions, ownership, runbooks, onboarding notes, migration history, testing rules, and agent instructions.