Remembra
Persistent memory for AI agents — 100% on LoCoMo benchmark
Remembra launched on March 11, 2026.
What it does
Persistent memory for AI applications. Entity resolution, temporal features, and graph-aware recall. Self-host in minutes.
A governed memory control plane for AI agents. Share context across tools, resolve entities, inspect recall, and self-host in minutes.
Remembra gives Claude, Cursor, Codex, OpenAI agents, and automations a shared brain with provenance, temporal context, entity resolution, and a dashboard you can actually operate. Continue from the last verified step, use the saved deployment notes, and cite the source memory before making changes. Workspace prefers local-first setup, Docker deployment, and documented handoffs between Claude, Cursor, Codex, and automations. The next generation of AI work is multi-agent, multi-tool, and always interrupted. Remembra turns all of that scattered context into a governed memory system: what happened, who said it, when it changed, which agent can see it, and why it was recalled. Hybrid semantic…from remembra.dev
Does a similar job
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AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents

DeltaMemoryFeb 2026 · deltamemory.com · ▲104Most AI agents forget everything between sessions. We built DeltaMemory to fix that. It's a cognitive memory layer that gives agents persistent recall, automatic fact extraction, and temporal reasoning — via a single SDK call. Key numbers: - 89% accuracy on LoCoMo long-term conversation benchmark - 50ms p50 retrieval latency - 97% cost reduction vs raw token re-processing Open source SDKs, works with any LLM stack. Currently in early access. Happy to answer questions about the architecture, benchmark methodology, or how we handle knowledge graphs.



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