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LycheeMem
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LycheeMem

Active·★ 236·Apache-2.0·Updated 2026-05-15
★ Trending★ Memory & Context

Compact, efficient, and extensible long-term memory for LLM agents.

LycheeMem is a compact memory framework for LLM agents that organizes memory into working, semantic, and procedural stores. It features a four-stage pipeline (WMManager, SearchCoordinator, SynthesizerAgent, ReasoningAgent) with a background ConsolidatorAgent, and supports multi-channel retrieval (FTS, vector, tag, temporal). It integrates via API, OpenClaw plugin, and MCP protocol.

#agent-memory#langgraph#llm-memory#lychee#lycheemem#mcp#mcp-server#mcp-servers
$ Install
$ git clone https://github.com/LycheeMem/LycheeMem.git && cd LycheeMem && pip install -e ".[dev]"
↗ Visit site★ GitHub
01

Features

01Efficient conversational memory with dual-threshold token budget
02Structured semantic memory with 7 typed MemoryRecords and Record Fusion
03Action-aware search planning and multi-dimensional relevance scoring
04Procedural memory with skill store and HyDE retrieval
05Modular pipeline with synchronous stages and asynchronous background consolidation
02

Compatibility

Python
Python 3.11+
Verified via docs
OpenClaw
OpenClaw Plugin
Verified via docs
MCP
MCP Protocol
Verified via docs
03

Quick start

1
$ git clone https://github.com/LycheeMem/LycheeMem.git
2
$ cd LycheeMem
3
$ pip install -e ".[dev]"
04

Use cases

↳Persistent long-term memory for LLM-based agents
↳Context-aware chatbots with adaptive memory retrieval
↳Automated memory consolidation and skill extraction from conversations
05

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Related searches

LycheeMem AlternativesBest Memory & Context Tools 2026Open Source Memory & ContextLycheeMem TutorialLycheeMem Vs Competitorsagent-memorylanggraphllm-memory

Comments

Log in to leave a comment
  • H
    Hayden LewisMay 24, 2026

    Extensible design means you can add custom memory backends without framework changes.

  • H
    Harper NguyenMay 16, 2026

    Good for agents that need memory without adding significant overhead.

  • D
    Dylan WilsonApr 19, 2026

    Compact, efficient long-term memory for LLM agents — small footprint, good performance.

  • S
    Spencer MartinezApr 5, 2026

    Works reliably across long-running agent sessions.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 236
Last commit2w ago
StatusActive
LicenseApache-2.0
CategoryMemory & Context
Trend (30d)
+9.4↑ 0.9%
Links
Documentation↗Discussion↗Issues↗Releases↗

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