deepagents-graph-memory
Give your agent a record of what it tried and what worked.
For developers building LangChain Deep Agents that debug code, run experiments, or investigate problems over many steps. Save attempts and results as connected findings so your agent can look up earlier work before choosing its next step.
Works alongside the virtual filesystem (VFS): files hold code, logs, and tool dumps; the graph links findings to their evidence. For example: failing test → suspected cause → code change → test result.
Inspired by Niels de Jong's Neo4j article, From recall to reasoning: How context graphs upgrade an agent’s brain. Built by Pranav Bedi and Taha Khan, using LadybugDB. Experimental.
Install
pip install --upgrade deepagents-graph-memory
Requires Python 3.11–3.14 on a supported platform. The graph database, OpenSSL, and search extension come bundled. No database server or separate search setup. Intel Macs have an upstream dependency build requirement; see the platform details above.
Quick start
Set your model provider's API key, then add the graph tools and guidance to your agent:
from deepagents import create_deep_agent
from deepagents_graph_memory import (
GraphMemoryBackend,
graph_context_middleware,
graph_memory_tools,
)
graph = GraphMemoryBackend.create()
agent = create_deep_agent(
model="google_genai:gemini-3.5-flash",
tools=graph_memory_tools(graph),
middleware=[graph_context_middleware()],
)
# Use agent.invoke(...) in your application.
# Close the graph after the agent and all its workers finish:
# graph.close()
The graph is temporary by default. Use GraphMemoryBackend.create(path="project.lbdb")
to keep it on disk. Agents choose what to record and must still check evidence;
the graph doesn't automatically verify claims or resolve disagreements.
Details
The complete guide covers persistent storage and deployment, shared agents, graph-only mode, and inspecting the graph, plus API examples and development.
1 maintainer
Metadata
1 maintainer
Release files for deepagents-graph-memory 0.1.5
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Release files / deepagents_graph_memory-0.1.5-cp314-cp314-win_amd64.whl
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Transparency logRelease files / deepagents_graph_memory-0.1.5-cp311-cp311-macosx_15_0_arm64.whl
| Download URL | deepagents_graph_memory-0.1.5-cp311-cp311-macosx_15_0_arm64.whl |
|---|---|
| Size | 7.9 MB |
| Tags | CPython 3.11 macOS 15.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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e00fe9fd910ca6fc24fd11a25de094d1c5013185d72a12175aeb499fd689d13a
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twine/7.0.0 CPython/3.13.14
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