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anneal-memory
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anneal-memory

Active·★ 12·MIT·Updated 2026-10-18

anneal-memory provides living, auditable, and quality-controlled memory for AI agents, featuring structural defenses against sycophancy and junk accumulation. It implements a complementary learning systems architecture with episodic, continuity, crystallized, and prospective memory layers, all built with zero external dependencies.

#AI Agent Memory#Memory Management#Cognitive Architecture#Tamper-Evident Audit#Sycophancy Prevention#Zero-Dependency Python
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Guides
#LLM Context Management
$ Install
$ pip install anneal-memory
↗ Visit site★ GitHub
01

Features

01Citation-Validated Memory Graduation
02Tamper-Evident Audit Trail
03Sycophancy and Junk Accumulation Prevention
04Complementary Learning Systems Architecture
05Zero-Dependency Python Library
02

Compatibility

Python
Runtime
Verified via docs
Agent Frameworks
Integration
Verified via docs
CLI
Interface
Verified via docs
MCP
Integration
Verified via docs
03

Quick start

1
$ pip install anneal-memory
04

Use cases

↳Integrating robust, auditable memory into custom AI agent frameworks.
↳Developing AI systems that require high integrity and verifiable decision-making.
↳Building multi-session AI agents that resist memory drift, sycophancy, and junk accumulation.
↳Implementing long-term knowledge management for LLM-powered applications, separating active context from crystallized wisdom.
↳Compliance and auditing for AI systems, providing traceability for AI actions and decisions.
05

Alternatives

⚡Top VS:
VScaura-memclaw★504→VSdeja-vu★1.3k→VShippo-memory★784→

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phillipclapham /
anneal-memory
↗

Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.

12MIT
Last commit4d ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
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