Use Cases · Coding
AI Memory for Coding Agents
Coding agents need memory of codebase structure, past edits and team conventions — procedural and semantic memory that keeps suggestions consistent across sessions.
Coding memory
What to remember
What coding agents remember
- File conventions — naming patterns, directory structure (procedural)
- Architecture decisions — “we use event sourcing for orders” (semantic)
- Developer style — tabs vs spaces, preferred patterns (user memory)
- Past bug fixes — what was tried and what worked (episodic)
- Repo map summaries — module responsibilities at a glance (semantic)
Patterns
Memory patterns for coding
- Repo index RAG + session memory — RAG for codebase search; memory for per-dev prefs and decisions
- Letta paging — long refactor threads with core/archival memory (MemGPT DMR 93.4%, Packer et al., 2023)
- Engram / Mem0 — per-developer preference memory across sessions
- Cognee — document→graph for accumulating codebase knowledge
Multi-agent
Multi-agent coding teams
Shared memory for planner, coder and reviewer agents — blackboard or coordinator pattern.
Planner writes task spec to shared store; coder reads constraints; reviewer writes feedback. Namespace by project_id and agent_id. See multi-agent shared memory.
FAQ
Frequently asked questions
How does Cursor handle agent memory?
Cursor uses codebase indexing (RAG-like) plus session context. Long-term cross-session memory requires external tools — Engram, Mem0 or custom vector stores.
Is Letta good for coding agents?
Yes for long refactor threads — MemGPT paging keeps core context in-window and pages archival memory. DMR 93.4% (Packer et al., 2023). See Letta alternatives.
RAG vs memory for codebase?
RAG indexes code for semantic search. Memory stores per-dev preferences, architecture decisions and session context. Use both — see RAG with memory.
Does Mem0 work for coding agents?
Yes — both Engram and Mem0 handle per-developer preference memory across sessions. Engram suits Weaviate-native team memory; Mem0 is framework-agnostic.
Repo-scale memory for large codebases?
RAG/codebase indexing for file search; memory for decisions and prefs. Cognee builds knowledge graphs from docs. Letta for long-session paging.
What is procedural memory for coding?
Stored how-to knowledge — conventions, patterns, workflows. See procedural memory.
How do you benchmark coding agent memory?
Domain-specific eval sets (recall architecture decisions, style prefs). LOCOMO/LongMemEval for general memory. See memory metrics.