GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Memory Library for Stateful Agents
Good fit when
- Requires managing long-term and contextual memory in AI agents for statefulness.
- Prefer open-source solutions under AGPL-3.0 that allow local deployment through Docker.
Avoid when
- Do not need complex SDK support or a customizable framework approach.
- Not interested in using stateful capabilities leveraging multiple APIs such as Gemini, Anthropic, and OpenAI.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Aug 18, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 18, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install honchoHow it fits your stack(9)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based memory library designed to manage long-term and contextual data crucial for creating stateful AI agents, supporting various AI frameworks and SDKs.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 18, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 18, 2026)
```python honcho = Honcho(workspace_id="my-app-testing", base_url="http://localhost:8000")Source link
Tags
README
Self hosting Honcho is open source under AGPL 3.0. You can run the full server locally with Docker, then point the SDKs at . Quick start (Docker) Then point the SDKs at it: ```python honcho = Honcho(workspace id="my app testing", base url="http://localhost:8000") License Honcho i...
For agents
This page has a .md twin and JSON over the API.