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⚙ Context engineering
Specific
agent memory, compaction, in-context learning
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203997
posts in
23.3
ms
Context
Modification
as a
Negative
Alignment Tax
🎯
Reranking
lesswrong.com
·
5d
Context
isolation
in coding agent
loops
🤖
agents
depot.dev
·
3d
stell2026/Anima
:
Anima
: an experimental cognitive architecture that models internal state, conflict, and decision-making. Uses LLMs as an interface, not as the core.
🔍
AI Interpretability
github.com
·
17h
·
DEV
Architecting
the AI Agent Platform: A
Definitive
Guide
🤖
agents
mlops.community
·
2d
Learning, Fast and Slow: LLMs That
Adapt
Continually
🎮
Reinforcement Learning
gepa-ai.github.io
·
5d
·
Hacker News
Building Type-Safe LLM Agents With
Pydantic
AI: Setting Up & Getting
Structured
Output From LLMs
🤖
agents
youtube.com
·
1d
MemEye
: A
Visual-Centric
Evaluation Framework for Multimodal Agent Memory
🔍
AI Interpretability
arxiv.org
·
1d
Behavioral and Brain Alignment Between Frontier
LRMs
and Human Game
Learners
🎮
Reinforcement Learning
botcs.github.io
·
4d
·
Hacker News
Agent-Skills-for-Context-Engineering/skills/tool-design/SKILL.md
at main ·
muratcankoylan/Agent-Skills-for-Context-Engineering
🤖
agents
github.com
·
10h
Context Training with
Active
Information
Seeking
🔍
Semantic Search
arxiv.org
·
2d
CRESS
Principles
for Context Engineering
🧪
Property-based Testing
codemanship.wordpress.com
·
6d
Agentic RAG with
ApertureDB
and HuggingFace
SmolAgents
🤖
agents
mlops.community
·
2d
Many-Shot
CoT-ICL
: Making In-Context Learning Truly Learn
🔍
AI Interpretability
arxiv.org
·
2d
Tencent/TencentDB-Agent-Memory
:
TencentDB
Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API
dependencies
.
🤖
agents
github.com
·
1d
EvolveMem
:Self-Evolving Memory Architecture via
AutoResearch
for LLM Agents
🔍
AI Interpretability
arxiv.org
·
1d
Cognifold
: Always-On
Proactive
Memory via Cognitive Folding
🕷️
GraphRAG
arxiv.org
·
2d
How should agent memory work when the agent needs
reviewed
project
knowledge
?
🤖
agents
github.com
·
3d
·
r/OpenAI
Prompting
Policies for Multi-step Reasoning and Tool-Use in Black-box LLMs with
Iterative
Distillation of Experience
🎮
Reinforcement Learning
arxiv.org
·
1d
VIP-COP
: Context Optimization for
Tabular
Foundation Models
🔍
AI Interpretability
arxiv.org
·
2d
zhengkid/AutoTTS
: The offical repo for "LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling"
🎮
Deterministic Simulation
github.com
·
4d
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