Vibe Coding Discover

Use Cases

Give AI Agents Persistent Long-term Memory Across Sessions

Published projects tagged with this use case.

3 projects

memanto

★ 2.3K

Memanto is a Python memory agent that runs alongside your AI agents to curate, consolidate, reconcile and expire their long-term memory, with point-in-time recall, policy-based forgetting and portable OKF export. Ships as a CLI plus local REST API and dashboard, and can run fully on-prem with Docker and Ollama.

AI Agents | Python · agent-memory · long-term-memory

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caura

★ 539

Governed shared memory layer for AI agent fleets: agents write plain text, Caura stores it with semantic search, entity/knowledge graphs, per-tenant isolation, trust tiers and audit trails. MCP-native plus REST and Python/TypeScript clients; self-hostable via Docker with Postgres/pgvector.

AI Agents | Python · agent-memory · multi-agent

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Ori-Mnemos

★ 325

Local-first persistent memory infrastructure for AI agents: an MCP server + CLI storing memory as markdown plus a SQLite index. Features a wiki-link knowledge graph, ACT-R decay, Hebbian co-occurrence edges and four-signal retrieval fusion, with lifecycle bridges for Claude Code, Cursor and other clients.

MCP | TypeScript · agent-memory · persistent-memory

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