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★ 8.3/10 AI Finderz scoreFreeOpen source · MITCode

Cross-platform governed memory for a fleet of agents

Code workflows, especially add memory to ai agents and manage agent context

AI Finderz score8.3/10
PricingFree
Free planYes
SourceOpen source · MIT
OVERVIEW

What Cross-platform governed memory for a fleet of agents is best for

Last checked: September 23, 2026

Code workflows, especially add memory to ai agents and manage agent context

Cross-platform governed memory for a fleet of agents is an AI tool for code workflows, especially add memory to ai agents and manage agent context. I found myself using the handoff skill too much — between sessions in different roles, and between different platforms (Codex and Claude for me). So, like programmers do, I wrote a solution for it: a shared memory for a fleet of agents, where each agent group has its own memory scope.After some time using it, I saw the memory become a pile of junk, so I adde. Verified public information highlights so, like programmers do, I wrote a solution for it: a shared memory for a fleet of agents, where each agent group has its own memory scope, after some time using it, I saw the memory become a pile of junk, so I adde, shared Memory for Agent Fleets, contribute to oren198/Strata development by creating an account on GitHub. In AI Finderz, the strongest matching use cases are add memory to ai agents, manage agent context, connect mcp tools, build ai agents. The project is publicly presented as open source under MIT. The public project is open source under MIT. Check the official page for hosted services, support or usage-specific costs. AI Finderz checked the public source on 2026-09-23 and uses the official page as the factual basis for this profile.

AI FINDERZ TAKE

Why consider Cross-platform governed memory for a fleet of agents?

Cross-platform governed memory for a fleet of agents is a strong candidate for add memory to ai agents. The official page was checked before publication and the listing is built from factual product signals rather than a generic category template.

Key features & workflows

So, like programmers do, I wrote a solution for it: a shared memory for a fleet of agents, where each agent group has its own memory scope
After some time using it, I saw the memory become a pile of junk, so I adde
Shared Memory for Agent Fleets
Contribute to oren198/Strata development by creating an account on GitHub
Quick start: two agents, one memory
4. Set your judge API key

Pros

  • So, like programmers do, I wrote a solution for it: a shared memory for a fleet of agents, where each agent group has its own memory scope
  • After some time using it, I saw the memory become a pile of junk, so I adde
  • Shared Memory for Agent Fleets
  • Open-source code is publicly available under MIT

Cons / things to check

  • Pricing, usage limits and hosted-plan details can change after this check
  • Open-source projects may require technical setup, testing and maintenance before production use

Choose Cross-platform governed memory for a fleet of agents when

Choose Cross-platform governed memory for a fleet of agents when you need add memory to ai agents or manage agent context. Its verified public profile specifically highlights so, like programmers do, i wrote a solution for it: a shared memory for a fleet of agents, where each agent group has its own memory scope.

Consider an alternative when

Consider an alternative when you need a different deployment model, integration set, pricing structure or specialist workflow than the capabilities verified on the official page.

PRICING SNAPSHOT

Cross-platform governed memory for a fleet of agents pricing

Checked September 23, 2026
ModelFree
Free planAvailable

The public project is open source under MIT. Check the official page for hosted services, support or usage-specific costs.

View official pricing ↗

Popular tasks

Use Cross-platform governed memory for a fleet of agents for tasks such as:

How AI Finderz ranks this tool

The AI Finderz score is an editorial/catalog score based on task relevance, catalog priority, use-case coverage and manual curation. It is not a user-review rating. Pricing, limits and product features can change, so important purchase decisions should always be checked against the official website.