mirror of
https://github.com/magnus919/agent-skills.git
synced 2026-09-19 07:27:04 +03:00
Magnus Hedemark
6c193ae2d8
DSPy v1.1.0: validation audit, worked RAG compilation example, expand ref table Haystack v1.1.0: validation audit, file converters/YAML/component types, +2 refs CrewAI v1.1.0: validation audit, unified Memory system, Flows docs, +3 refs AutoGen v1.1.0: validation audit, v0.4 migration guide, AgentTool, streaming, +2 refs All API surfaces validated against official docs.
53 lines
1.6 KiB
Markdown
53 lines
1.6 KiB
Markdown
# CrewAI Memory System
|
|
|
|
CrewAI v1.15+ uses a unified `Memory` class that replaces separate short-term, long-term, entity, and external memory types with a single intelligent API.
|
|
|
|
## Enabling Memory
|
|
|
|
```python
|
|
from crewai import Crew
|
|
|
|
crew = Crew(
|
|
agents=[agent1, agent2],
|
|
tasks=[task1, task2],
|
|
memory=True, # Enables unified memory for all agents
|
|
)
|
|
```
|
|
|
|
## How Memory Works
|
|
|
|
When `memory=True` is set at the Crew level:
|
|
- **Memory is shared** — all agents in the crew can access context from prior tasks
|
|
- **Short-term persistence** — within a single crew execution, agents remember context across tasks
|
|
- **Entity tracking** — the system tracks entities (people, places, concepts) mentioned across agent conversations
|
|
- **Long-term patterns** — across multiple crew runs, the system learns from successful patterns
|
|
|
|
## Memory Configuration
|
|
|
|
```python
|
|
from crewai import Crew, MemoryConfig
|
|
|
|
crew = Crew(
|
|
agents=[agent1, agent2],
|
|
tasks=[task1, task2],
|
|
memory=True,
|
|
memory_config=MemoryConfig(
|
|
embedder="openai", # Embedding provider for memory storage
|
|
dimensions=1536, # Embedding dimensions
|
|
),
|
|
)
|
|
```
|
|
|
|
## Memory Reset
|
|
|
|
```python
|
|
crew.reset_memories() # Clear all stored memory
|
|
```
|
|
|
|
## Practical Patterns
|
|
|
|
- **Within a single crew run:** Memory is automatic. Agents reference prior task outputs through `context`.
|
|
- **Across crew runs:** Memory enables the system to learn from past execution patterns.
|
|
- **For state-dependent tools:** Set `cache=False` on tools that shouldn't return cached results.
|
|
- **For long-running systems:** Periodically call `reset_memories()` to prevent memory bloat.
|