fleet-memory/hindsight-docs/docs-integrations/agno.md
Nicolò Boschi 7990381f6a
fix(ci): resolve all CI failures (#847)
* fix(ci): resolve all CI failures — unversioned integrations, test retries

- Move integration docs to separate unversioned docs plugin (docs-integrations/)
  so new integrations don't need to be duplicated across versioned_docs
- Remove integration pages from versioned_docs (v0.3, v0.4) — sidebar
  entries now use links instead of doc refs
- Add missing title/description SEO frontmatter to autogen.md
- Add retry logic (2 attempts) to test-doc-examples.sh for transient
  LLM timeouts
- Add pytest-rerunfailures to test-api with --reruns 2 for flaky
  Gemini-dependent integration tests

* ci: retrigger

* fix: graph entity inheritance, SyncTaskBackend error propagation, fact_type test regressions

- Fix observation entity inheritance in get_graph_data: the unit_entities
  query only fetched entities for visible observation IDs, not their source
  memory IDs, so the inheritance loop always found an empty entity_map
- Remove error swallowing in SyncTaskBackend._execute_task so test failures
  surface instead of being silently logged
- Wrap remaining consolidation submission call sites with try/except since
  consolidation is non-critical for those operations
- Fix test_sync_backend test to expect errors to propagate
- Remove fact_type=["world"] filter from test_document_upsert_behavior and
  test_mentioned_at_from_context_string (same PR #848 regression)
- Remove flaky marker from consolidation test (now deterministic)
2026-04-02 17:17:42 +02:00

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Markdown

---
sidebar_position: 9
title: "Agno Agent Persistent Memory with Hindsight | Integration Guide"
description: "Add persistent memory to Agno agents using Hindsight's retain, recall, and reflect tools. Plug into Agno's native Toolkit pattern for long-term memory across sessions."
---
# Agno
Persistent memory tools for [Agno](https://github.com/agno-agi/agno) agents via Hindsight. Give your agents long-term memory with retain, recall, and reflect — using Agno's native Toolkit pattern.
## Features
- **Native Toolkit** - Extends Agno's `Toolkit` base class, just like `Mem0Tools`
- **Memory Instructions** - Pre-recall memories for injection into `Agent(instructions=[...])`
- **Three Memory Tools** - Retain (store), Recall (search), Reflect (synthesize) — include any combination
- **Flexible Bank Resolution** - Static bank ID, `RunContext.user_id`, or custom resolver
- **Simple Configuration** - Configure once globally, or pass a client directly
## Installation
```bash
pip install hindsight-agno
```
## Quick Start
```python
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from hindsight_agno import HindsightTools
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
tools=[HindsightTools(
bank_id="user-123",
hindsight_api_url="http://localhost:8888",
)],
)
agent.print_response("Remember that I prefer dark mode")
agent.print_response("What are my preferences?")
```
The agent now has three tools it can call:
- **`retain_memory`** — Store information to long-term memory
- **`recall_memory`** — Search long-term memory for relevant facts
- **`reflect_on_memory`** — Synthesize a reasoned answer from memories
## With Memory Instructions
Pre-recall relevant memories and inject them into the system prompt:
```python
from hindsight_agno import HindsightTools, memory_instructions
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
tools=[HindsightTools(
bank_id="user-123",
hindsight_api_url="http://localhost:8888",
)],
instructions=[memory_instructions(
bank_id="user-123",
hindsight_api_url="http://localhost:8888",
)],
)
```
## Selecting Tools
Include only the tools you need:
```python
tools = [HindsightTools(
bank_id="user-123",
hindsight_api_url="http://localhost:8888",
enable_retain=True,
enable_recall=True,
enable_reflect=False, # Omit reflect
)]
```
## Bank Resolution
The bank ID is resolved in order:
1. **`bank_resolver`** — Custom callable `(RunContext) -> str`
2. **`bank_id`** — Static bank ID passed to constructor
3. **`run_context.user_id`** — Automatic per-user banks
```python
# Per-user banks from RunContext
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
tools=[HindsightTools(hindsight_api_url="http://localhost:8888")],
user_id="user-123", # Used as bank_id
)
# Custom resolver
def resolve_bank(ctx):
return f"team-{ctx.user_id}"
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
tools=[HindsightTools(
bank_resolver=resolve_bank,
hindsight_api_url="http://localhost:8888",
)],
)
```
## Global Configuration
Instead of passing connection details to every toolkit, configure once:
```python
from hindsight_agno import configure, HindsightTools
configure(
hindsight_api_url="http://localhost:8888",
api_key="your-api-key", # Or set HINDSIGHT_API_KEY env var
budget="mid", # Recall budget: low/mid/high
max_tokens=4096, # Max tokens for recall results
tags=["env:prod"], # Tags for stored memories
recall_tags=["scope:global"], # Tags to filter recall
recall_tags_match="any", # Tag match mode: any/all/any_strict/all_strict
)
# Now create toolkit without passing connection details
tools = [HindsightTools(bank_id="user-123")]
```
## Configuration Reference
### `HindsightTools()`
| Parameter | Default | Description |
|---|---|---|
| `bank_id` | `None` | Static Hindsight memory bank ID |
| `bank_resolver` | `None` | Callable `(RunContext) -> str` for dynamic bank ID |
| `client` | `None` | Pre-configured Hindsight client |
| `hindsight_api_url` | `None` | API URL (used if no client provided) |
| `api_key` | `None` | API key (used if no client provided) |
| `budget` | `"mid"` | Recall/reflect budget level (low/mid/high) |
| `max_tokens` | `4096` | Maximum tokens for recall results |
| `tags` | `None` | Tags applied when storing memories |
| `recall_tags` | `None` | Tags to filter when searching |
| `recall_tags_match` | `"any"` | Tag matching mode |
| `enable_retain` | `True` | Include the retain (store) tool |
| `enable_recall` | `True` | Include the recall (search) tool |
| `enable_reflect` | `True` | Include the reflect (synthesize) tool |
### `memory_instructions()`
| Parameter | Default | Description |
|---|---|---|
| `bank_id` | *required* | Hindsight memory bank ID |
| `client` | `None` | Pre-configured Hindsight client |
| `hindsight_api_url` | `None` | API URL (used if no client provided) |
| `api_key` | `None` | API key (used if no client provided) |
| `query` | `"relevant context about the user"` | Recall query for memory injection |
| `budget` | `"low"` | Recall budget level |
| `max_results` | `5` | Maximum memories to inject |
| `max_tokens` | `4096` | Maximum tokens for recall results |
| `prefix` | `"Relevant memories:\n"` | Text prepended before memory list |
| `tags` | `None` | Tags to filter recall results |
| `tags_match` | `"any"` | Tag matching mode |
### `configure()`
| Parameter | Default | Description |
|---|---|---|
| `hindsight_api_url` | Production API | Hindsight API URL |
| `api_key` | `HINDSIGHT_API_KEY` env | API key for authentication |
| `budget` | `"mid"` | Default recall budget level |
| `max_tokens` | `4096` | Default max tokens for recall |
| `tags` | `None` | Default tags for retain operations |
| `recall_tags` | `None` | Default tags to filter recall |
| `recall_tags_match` | `"any"` | Default tag matching mode |
| `verbose` | `False` | Enable verbose logging |
## Requirements
- Python >= 3.10
- agno
- hindsight-client >= 0.4.0
- A running Hindsight API server