Agent optimization layer that automatically optimizes agent workloads to extend context windows and reduce costs
Stage
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Founded
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Based in
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Pricing model
Freemium
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Pricing
Free: 10,000 events and 1,000 retrievals per month. Starter: $13/month for 50,000 events and 5,000 retrievals. Pro: $100/month for 500,000 events and 50,000 retrievals. Scale: $399/month for 2,500,000 events and 250,000 retrievals. Enterprise: Custom pricing.
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Key features
Search memory with dates and sources
Memory history and item versions
Data erasure with receipt
Correct and edit facts
Works with Claude, ChatGPT, Cursor and GitHub Copilot
Integrates with LangGraph, CrewAI and OpenAI Agents SDK
Connect to Slack, Notion, Linear, Jira and GitHub
Hosted MCP server
Item expiry
Automatically removes redundant and stale context from agent workflows in real time
Reduces token usage by 37–67% across agent workloads
Maintains baseline pass rates and success rates without code changes
Extends context windows for longer-running workflows
Zero code changes required for integration
Continually monitors and learns agent workloads
What makes it different
Reduces token usage while improving context accuracy
Privacy and data control built in, not bolted on
Nothing is dropped when limits are reached
Reduces agent inference costs by 37–67% while maintaining the same success rates
Works transparently with zero code changes required
Focuses optimization on removing wasted tokens while keeping success rates high
Enables teams to take on more ambitious problems with the same resources
Alexein
Induction