Same context.|
Your decisions, constraints, and reasoning - extracted from conversations, available everywhere. Engramic is the memory layer that works across every model your organisation uses.
When the conversation ends ...
01
Capture
Engramic turns conversations into durable context.
It captures what was decided and why from AI interactions - across Claude, ChatGPT, and internal tools.
Decisions outlive conversations.
02
Connect
Context forms when ideas are connected, not isolated.
Engramic connects the reasoning behind your choices across conversations and time. See how understanding evolves, where it branches, and where it starts to drift.
Every decision versioned. Every change tracked. Contradictions surfaced before they cause problems.
03
Coordinate
Engramic makes shared context available wherever work happens.
A team member can download it as a file. An agent can load it as a persona. A model can start a conversation already informed by what the organisation knows.
Same source of truth. Any tool.
engramic_context('authentication')Compiled for: Claude · 847 tokens · 3 sources
Active Decisions
Chosen over OAuth2. Budget-constrained MVP decision. Review trigger: 1,000 users.
Resolved latency concerns from December. Redis retained for future cache layer.
Current Constraints
- MVP budget ceiling: £10,000
- Must integrate with existing AWS infrastructure
- Team capacity: 2 engineers until March
Open Questions
- Connection pooling strategy not yet decided
- Load testing approach for auth endpoints
Contradictions Detected
Redis was chosen for sessions (Nov) then replaced (Jan). Original rationale may still apply to caching layer.
What Becomes Possible
When your organisation shares what it knows.
Memory without allegiance
Organisational memory belongs to the organisation. Any model can draw from it. Swap tools, add agents, change providers - the memory remains.
Consistency by construction
When every conversation starts from the same memory, consistency isn't enforced. It emerges.
Governance as a side-effect
Every decision captures who decided, who was consulted, what constraints applied, and why. Responsibility tracking, audit trails, and sensitivity classification aren't overhead. They're natural outputs of how your agents work.
Context that knows its own boundaries
Every engram carries sensitivity classification and topic restrictions. When context is compiled, agents only receive what they're authorised to access. Your governance rules are embedded in the knowledge itself, not enforced after the fact.
Who it's for
Built for teams taking AI seriously
Your team boundary has expanded. Humans and agents need the same context.
Actors & Responsibilities
Sarah Mitchell
Engineering Lead
James Kim
Platform Architect
Security Agent
Automated Review
Recent Decision Context
Use JWT for API authentication
14 Jan 2026Decided by: Sarah Mitchell (Responsible) · James Kim (Accountable)
Consulted: Security Agent — flagged OWASP token rotation requirement
Constraints applied: MVP budget, team capacity
Leadership scaling agentic AI
You're moving from experimental to production AI. You need your agents to behave consistently, learn from past interactions, and stay aligned with business logic as you scale.
Governance and compliance teams
You're responsible for AI risk. You need visibility into what agents know, how they make decisions, and whether they're operating within approved boundaries.
Ready to give your agents context?
We're onboarding design partners now. Whether you want to build with us or back us, join the waitlist and we'll be in touch.