Blog
Agent memory, explained honestly
Guides on permission-aware retrieval, reviews of the tools in this space, and news from building a condensed context layer in the open.
Context Engineering for AI Agents: A Practical Playbook
Context engineering for AI agents explained: compaction, sub-agents, and memory design that stop long-running agents from losing the plot.
OpenMemory MCP Explained: What It Was, What Happened to It
What openmemory mcp actually did, why Mem0 wound it down in 2026, and what that means if you were about to build on it.
Mem0 vs Contextely: Comparing the Agent Memory Layer
Mem0 and Contextely both sit in the agent memory layer, but they solve different problems. Here is how to pick correctly.
Glean Alternative in 2026: An Honest Comparison
What Glean does well, where its price leaves 20-500 person teams behind, and what to check before you pick a glean alternative.
What We Learned Building an Agent Memory Layer
Why entitlement scoring runs before freshness refresh in our agent memory layer, why memory carries a TTL, and why we are both an MCP server and client.
Letta Review 2026: Testing Its Agent Memory Layer
An honest Letta review: what its agent memory layer gets right, its pricing, and where a ready-made context layer for a whole company fits better.
How to Choose Enterprise Search Software in 2026
A practical checklist for picking enterprise search software in 2026: entitlement, freshness, self-hosting and the questions that actually matter.
Zep vs the Field: Choosing an LLM Memory Database
Zep built its name on temporal knowledge graphs. Here is how it compares to the field when you are choosing an llm memory database for a real team.
AI Enterprise Search Explained: RAG and Permissions
How AI enterprise search actually works: retrieval, synthesis, and why permissions have to be checked before an answer is written, not after.
Cognee Explained: Open-Source Self Hosted AI Memory
What Cognee actually does, its funding and traction, and how its open source knowledge graph compares as self hosted ai memory for AI agents.
Best AI Knowledge Management Software for Small Teams
A practical shortlist of ai knowledge management software for small teams, what each is actually built for, and what to check before you commit.
Permission Aware RAG: A Practical Guide
What permission aware rag actually means, how retrieval-time entitlement differs from redaction, and how to build or buy it properly.
MCP Server Memory: What the Protocol Actually Changes
What mcp server memory means in practice, the real adoption numbers behind the Model Context Protocol, and why memory over MCP matters.
How to Set Up Self Hosted AI Memory, Step by Step
A practical, step-by-step guide to self hosted ai memory: Docker, your database, an LLM key, your first source, and entitlement scopes.
Context Engineering 101: Why Stuffing Prompts Fails
Context engineering explained plainly: why more text in a prompt makes AI answers worse, and what to do about it instead.
LLM Memory Database Options Compared for 2026
A factual comparison of Mem0, Letta, Zep, Cognee and Contextely as an llm memory database: hosting, permissions, funding and licensing.
Company Knowledge Base AI: A Real-World Case Study
An illustrative case study of a 90-person logistics company moving from scattered systems to a company knowledge base ai an assistant can trust.