LLegion
Code workflows, especially add memory to ai agents and manage agent context
CCode workflows, especially add memory to ai agents and manage agent context
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.
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.
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 you need a different deployment model, integration set, pricing structure or specialist workflow than the capabilities verified on the official page.
The public project is open source under MIT. Check the official page for hosted services, support or usage-specific costs.
Use Cross-platform governed memory for a fleet of agents for tasks such as:
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.
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LCode workflows, especially add memory to ai agents and manage agent context
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