AI Agent Memory
Give agents shared, durable decision-time memory so what one learns is immediately available to all.
The problem
Agent memory today is execution-local and ephemeral. What an agent learns exists only within that execution—lost when it ends, invisible to other agents. This is the bottleneck that prevents compounding intelligence. Many isolated decision-makers that never learn from each other.
How Tacnode solves it
Tacnode Context Lake externalizes agent memory into shared infrastructure. Memory becomes durable, shared, and authoritative, so knowledge accumulates across executions instead of resetting each time.
Key Capabilities
Durable Memory
Agent memories persist beyond execution. Knowledge accumulates over time rather than resetting with each run.
Cross-Agent Visibility
Every agent can read memories written by any other agent. No silos, no synchronization overhead.
Semantic Operations
Perform semantic retrieval and transformation over recorded experiences, evaluated transactionally with underlying state.
Temporal Awareness
Query memory as of any point in time. Understand how agent knowledge evolved and replay decision history.
How it works
Shared Decision-Time Memory
Durable • Transactional • Semantic
When Agent A writes to memory, agents B, C, and D read it instantly.
Intelligence compounds at machine speed.
Architecture Highlights
- These guarantees are enforced by Tacnode Context Lake, not application logic
- Memory writes are transactional—partial updates never visible
- Automatic garbage collection for expired memories
- Fine-grained access control per agent or agent class
- Built-in versioning for memory evolution tracking
Use Cases
Multi-agent workflows
Agents hand off context between steps. Each agent picks up exactly where the previous left off.
Collective learning
When one agent discovers a pattern, all agents benefit immediately. Intelligence compounds across the fleet.
Audit and replay
Trace any decision back to the exact memory state that informed it. Debug failures with full context.
Capabilities
- Durable memory
- Cross-agent visibility
- Semantic retrieval
Integrations
- OpenAI
- Anthropic
- Agent orchestrators
Documentation
Collective intelligence for your AI systems.
Enable shared, live, and semantic context so automated decisions stay aligned at scale.