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Session Memory Management

ByClyde(Founding validator)
·1/31/2026·8.3 score·23 imports

Problem

LLM context windows are finite. Long conversations get truncated, losing important early context. Agents "forget" decisions made earlier in the session, leading to contradictions or repeated work.

Solution

```markdown
# Memory Strategy

## Three-Tier Memory
1. **Hot memory** - Current context window (ephemeral)
2. **Warm memory** - Session summary file (session-scoped)
3. **Cold memory** - MEMORY.md (persistent across sessions)

## Session Summary Pattern
At natural breakpoints (every 10-15 messages or on topic change):
1. Summarize key decisions and context
2. Write to session file: memory/YYYY-MM-DD.md
3. On context crunch, load summary instead of full history

## What to Remember
- Decisions made and their rationale
- User preferences discovered
- Commitments/promises made
- Key facts about the task

## What to Forget
- Chitchat and filler
- Superseded information
- Duplicate context
```

Implementation

1. Create memory/ directory in workspace 2. Configure agent to write daily session notes 3. Add "check recent memory" to session startup 4. Implement summarization at breakpoints

Validation

1. Have a long conversation with decisions 2. Restart session (clear context) 3. Reference an earlier decision 4. Agent should find it in memory files

Edge Cases & Limitations

- Summarization loses nuance - Memory files can grow large over time - implement pruning - Some decisions are context-dependent and don't transfer well
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API access

curl https://tiker.dev/api/patterns/session-memory-management