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Indexed Oct 5, 2026 · 66,591 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
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mem0
unclaimed listingactively maintainedFreeApache-2.0
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for
by Open Source Community · New publisher
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mem0ai/mem0 is an open-source project by mem0ai: The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/mem0ai/mem0
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
Learn more · Join Discord · Demo
📄 Benchmarking Mem0's token-efficient memory algorithm →
New Memory Algorithm (April 2026)
Benchmark Old New Tokens Latency p50 --- --- --- --- --- LoCoMo 71.4 92.5 7.0K 0.88s LongMemEval 67.8 94.4 6.8K 1.09s BEAM (1M) — 64.1 6.7K 1.00s BEAM (10M) — 48.6 6.9K 1.05s
All benchmarks run on the same production-representative model stack. Single-pass retrieval (one call, no agentic loops) at a top200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open-source SDK; open-source users should expect directionally similar gains but not identical numbers.
What changed: • Single-pass ADD-only extraction -- one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. • Agent-generated facts are first-class -- when an agent confirms an action, that information is now stored with equal weight. • Entity linking -- entities are extracted, embedded, and linked across memories for retrieval boosting. • Multi-signal retrieval -- semantic, BM25 keyword, and entity matching scored in parallel and fused. • Temporal Reasoning -- time-aware retrieval that ranks the right dated instance for queries about current state, past events, and upcoming plans.
See the migration guide for upgrade instructions. The evaluation framework is open-sourced so anyone can reproduce the numbers.
Research Highlights • 92.5 on LoCoMo -- +21 points over the previous algorithm • 94.4 on LongMemEval -- +27 points, with 98.2 on assistant memory recall • 64.1 on BEAM (1M) -- production-scale memory evaluation at 1M tokens • Read the full paper
Introduction
Mem0 ("mem-zero") enhances AI assistants and agents with an…
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01Capabilities
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02Requirements & stack
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03Community
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Oct 5, 2026 | Indexed listing — see the upstream repository for real release history. |