TESSERA is a text-first memory and evidence layer for AI agents: it turns Markdown project knowledge into structured, provenance-backed evidence that agents can query via a Python API, CLI or MCP, with stable identity and explainable retrieval (MIT, v0.0.1).
AI & MLDeveloper toolsRAG & knowledge
Mem0 is an open-source memory layer for AI assistants and agents, offering persistent personalized memory via Python/TS SDKs, CLI, self-hosted server, or cloud. Supports multi-level memory, hybrid retrieval, temporal reasoning, and many LLM providers.
AI & MLDeveloper toolsAI agents