Coding Agents

Learn what coding agents are, how they work, and how they differ from AI assistants, chatbots, and autocomplete tools.

Codex leans toward parallel execution, isolated worktrees, cloud delegation, and reviewable task runs. Claude Code is terminal oriented and more engaging in long interactive sessions, and agent-to-agent coordination. OpenAI’s GPT-6 Astra and Anthropic’s Fable 5.1 have enhanced capabilities, but the harness determines how that intelligence is used. For serious repository work, the better choice is the one that performs more reliably on your codebase, constraints, and working style.

A hands-on walkthrough of Mem0 Gateway connecting Notion and Mem0 to Claude Code through one scoped key, watching the fail-closed/approval flow play out when an agent asked for access it didn't have, and testing whether a taught standing rule survives a new session without being told twice.

Kimi K3 has a 1M-token context window but no memory across sessions. We tested it with Mem0 and cut design regressions from 60% to 0%.

Compare Claude Code vs Cursor in 2026. Explore features, pricing, coding capabilities, agentic workflows, and use cases to find the right AI coding tool for you.

Claude Code has built-in Auto Memory - here's what it doesn't do and how Mem0 adds cross-tool, cross-project memory with semantic search in under 5 minutes.

Technical comparison of how Claude Code, Cursor, Devin, and Antigravity handle memory, and how Mem0 adds persistent, cross-session memory for AI agents.

Learn how to build a production-grade AI code review agent using Mem0 as a persistent memory layer for repositories, reviewers, and code history.

Build a local coding agent with Mem0, Qdrant, and Ollama. No Docker. No cloud API keys. Any hardware that runs a local model.

Pi is a terminal coding agent. Mem0 is its memory layer. See how the @mem0/pi-agent-plugin gives Pi project-scoped memory that survives across sessions, proven on a real schema migration task.

GLM 5.2 gives agents a 1M-token window and long-horizon reasoning, but the context still resets on every restart. Add durable cross-session memory with Mem0.

Kimi K2.7 Code is a strong coding model with no memory across sessions. Add a persistent memory layer with Mem0 in four lines, with runnable code.

Build AI coding agents with persistent codebase memory: context, decisions, and edits retained across sessions using a dedicated memory layer.

Persistent memory helps Google Antigravity CLI retain context across sessions. Discover persistent memory ai & build persistent AI systems that boost agent recall

Give Codex persistent codebase memory with Mem0 MCP. Store and retrieve architecture decisions, constraints, and debugging context across sessions, machines, and tools.

65% of enterprise AI failures trace to context degradation, not token limits. See how Hermes and Claude Code compress context - and what you must extract to Mem0 before it fires.

Codex CLI ships two memory layers (AGENTS.md + Memories). Here’s how each works, where they fall short, and how Mem0 fills the gaps

Claude Code's Auto Memory silently truncates at 200 lines with no warning. Here's what's in the source code - MEMORY.md, Auto Dream, CLAUDE.md - and how to replace it with semantic memory that doesn't have a ceiling.

AI memory layer OpenMemory MCP enables persistent context for LLM clients like Cursor, Claude Desktop. Local-first memory AI with vector storage and control.