Documentation Index
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A research team that does not learn re-derives the same conclusions and repeats the same mistakes. The value compounds when an insight from one review is available to every agent on the next. Agno’s LearningMachine with a shared store and a global namespace makes the team’s learning institutional, not per-agent.
from agno.agent import Agent
from agno.learn import LearnedKnowledgeConfig, LearningMachine, LearningMode
from agno.models.openai import OpenAIResponses
# Shared learnings store, imported once, used by every agent and team
from agents.settings import team_learnings
analyst = Agent(
name="Financial Analyst",
model=OpenAIResponses(id="gpt-5.5"),
learning=LearningMachine(
knowledge=team_learnings,
learned_knowledge=LearnedKnowledgeConfig(
mode=LearningMode.AGENTIC,
namespace="global",
),
),
)
# Another agent built on the same team_learnings store captures an insight:
risk_officer.print_response("Estimates lag this sector by about a quarter.")
# Later, a different agent reads it back from the shared store:
analyst.learning_machine.learned_knowledge_store.print(query="estimate lag")
team_learnings store, so the capture above is already in the next agent’s context.
Per-agent vs institutional
| Per-agent memory | Institutional learning |
|---|
| Scope | One agent | Every agent and team that shares the store |
| Namespace | The user or agent | "global" |
| Effect | This analyst remembers | The committee remembers |
What to capture
| Worth a learning | Not worth a learning |
|---|
| ”Analyst estimates lag this sector by a quarter” | A one-off number from a single query |
| ”This data source double-counts renewals” | A restatement of the mandate |
| A correction to a conclusion that was wrong | A summary of what was already in the library |
Modes
| Mode | Behavior | Use for |
|---|
ALWAYS | Capture runs after every response | Steady accumulation of observations |
AGENTIC | The agent decides what is worth keeping | Research, where signal-to-noise matters |
PROPOSE | A human approves before it persists | Anything that changes how the team decides |
Next steps
| Task | Guide |
|---|
| Feed it grounded context too | Grounding research |
| Audit what changed the team’s mind | Structured deliverable |
Developer Resources
