Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.

The explainable, local-first memory engine for AI agents. One ~9 MB binary fuses vector + graph + columnar under VelesQL; why() returns the evidence path behind every recall. No cloud, no glue code — runs on server, browser, mobile and desktop.

Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.

The ultimate memory backend for OpenClaw and Claude Code. Persistent conversation memory with LLM fact extraction, foundation-model reranking, and 77.7% LoCoMo accuracy. MCP native, REST API, self-hosted.

The only agent memory that gets better over time. Nightly consolidation, active forgetting, salience scoring. 9.01/10 on AMB benchmark. Local-first, Apache 2.0.

Zero-dependency agent memory + MCP server. Value-ranked recall, consolidation, and a first-class correction & erasure channel (revert, lineage-aware retraction, tamper-evident receipts). Measured integrity vs mem0/Graphiti.

Persistent, local-first memory for AI coding agents. Give Claude Code and Cursor memory across sessions over MCP — and see and edit exactly what your AI remembers. Open source, no API key, no cloud.

Semantic Memory OS — universal OpenAI-compatible memory proxy for AI agents. Native Rust, ort+ONNX NLI, SurrealDB embedded.

A decentralized cooperative memory & research layer for AI agents — collectively and cooperatively learning and advancing as a community.

四层记忆引擎 (Memory Engine) — 让 Agent 越用越聪明

Memory API for AI agents — semantic search, Ebbinghaus decay scoring, knowledge graphs, MCP native. Drop-in mem0/Zep alternative. $19/mo vs $249+.

Auditable memory layer for AI agents: zero-LLM-call local ingest (~10ms/msg, air-gapped), matches Mem0 on accuracy at ~1000x lower ingest cost, bi-temporal belief-state, MCP server. Honest LoCoMo/LongMemEval benchmarks. Open source (Apache-2.0).

Agent memory backends each publish their own benchmark numbers, on different tests, measured different ways. memtrust runs the same evals against all four and publishes the raw logs. Run against the vendors, not by them.