Persistent memory for AI agents and humans. Store, search, and discover patterns.
Storage, memory and knowledge management for agents.
Persistent memory for AI agents and humans. Store, search, and discover patterns.
SQLite-backed MCP server for persistent memory, full-text retrieval, and graph traversal.
Multi-level reasoning MCP server with configurable depth levels
Indexes codebase into a local knowledge graph with 40+ AI tools and codebase-guard.
Self-hosted memory for AI agents with hybrid search, knowledge graphs, tasks, and document sync.
Memory, docs, and repo context layer for engineering agents.
Long-term memory for AI agents: local-first PKM with provenance and hybrid search.
Recall locally stored agent memories through an MCP-compatible host.
Architectural sensor for Python codebases.
Behavioral memory layer for AI tools. Learns preferences and context across Claude, Cursor, Codex.
Git-backed long-term memory authority for AI agents via MCP.
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
Durable user/project memory for MCP clients: recall context and remember selected facts.
Standards-based A2A hub. One MCP connection to thousands of agents, with shared persistent memory.
A local memory engine. You own the SQLite file. Not Mem0's hosted OpenMemory MCP.
Local-first memory for coding agents; stores decisions, bugs, and context across sessions.
Tamper-evident record of what your AI agent did, plus local-first verifiable memory.
A multi-parent goal graph where value propagates, so what more things depend on ranks higher
Local-first AI memory engine — 4-tier memory, people graph, Bayesian beliefs. Encrypted, 62µs.
Persistent memory graph for coding agents: hypotheses, evidence, and decisions survive sessions.