Every agent rebuilds the same context
The same facts get retrieved, embedded, and interpreted over and over — by agents that should be sharing work, not duplicating it. Token costs climb; quality doesn't.
One memory across every agent.
When one agent learns something, every agent knows it. Shared memory, scoped by default.
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Research Agentwrites
10-Q filing analyzed. Q3 revenue: $42M confirmed.
A
Analyst Agentreads
Reading Q3 revenue for comp analysis…
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Writer Agentreads
Drafting summary · citing Q3 revenue…
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Final Output
Q3 revenue reached $42M, per the 10-Q filing.
Shared Memory
Agent Writes
The problem
Why multi-agent systems drift
Agents quietly contradict each other
Without a shared source of truth, two agents can hold opposite facts. Neither knows. The final output inherits the inconsistency.
Workflows lose institutional memory
What the system learned last week is gone by Monday. Every run starts from scratch, and your stack never gets smarter.
How Synap solves it
Shared state, sensibly scoped
A single memory surface
Every agent writes to and reads from the same memory layer — episodic, semantic, and factual. Stop duplicating retrieval pipelines per agent.
Scope isolation by default
Customer-scoped, session-scoped, tenant-scoped. Agents share what they should and can't see what they shouldn't — enforced at the infrastructure layer, not the prompt.
Durable institutional memory
Insights, patterns, and decisions persist across runs. The stack learns from its own work — week over week, not turn over turn.
Consistent facts across agents
Updates propagate. Stale copies don't linger. Two agents won't disagree on a fact either of them has seen.
Your agents stop repeating work. They start building on each other. The stack learns — permanently.
Also supports
Education · E-Commerce · Legal · Financial Services · HR & Recruiting
Whatever your agents do, Synap is the memory layer underneath.
Multi-Agent & Agentic Workflows — FAQ
Synap provides a single memory surface — episodic, semantic, and factual — that every agent in a system writes to and reads from. No more duplicating retrieval pipelines per agent.
Synap enforces customer-scoped, session-scoped, and tenant-scoped isolation at the infrastructure layer — not the prompt. Agents share what they should and cannot access what they should not.
Yes. Insights, patterns, and decisions persist across runs — so your agent stack gets smarter week over week, not just turn over turn.
Updates propagate across the shared memory layer immediately. Stale copies do not linger. Two agents will not hold opposite facts about the same entity.