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ToolProduction ReadyAGENT-PROTOCOL
langhost
by langhost
Self-hosted LangGraph agent server with production Postgres + Redis
Python
Updated Sep 4, 2026
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What It Does
Hosts a self-managed LangGraph Agent Server with production-ready Postgres and Redis backends. Runs the same SDK and Studio with no code changes required, enabling teams to swap an in-memory runtime for a durable server. Distinctive features include drop-in compatibility with LangGraph tooling A2A Protocol Pattern and production persistence for agent state and logs.
Key Benefits
As agent deployments move from prototypes to production, durable runtimes and reproducible histories become essential for trust and evaluation. A self-hosted server that preserves conversation state and integrates with existing SDKs makes it practical to capture agent interaction logs, track agent behavior over time, and connect those records to reputation or evaluation systems. This matters because reproducible agent track records are a prerequisite for meaningful Reputation and long-term trust scoring, and can be aligned with evaluation frameworks such as Agent Registry Pattern.
When to Use
Teams that need a production-ready, drop-in runtime for LangGraph agents to persist state, logs, and enable long-term evaluation or monitoring Memory.
How It's Used
- Persisting agent conversations and state for audit, replay, and reputation scoring
- Replacing in-memory runtimes with a production Postgres+Redis backend to enable long-term monitoring
- Capturing agent interaction logs for downstream A2A evaluation or continuous evaluation pipelines
Works With
langgraphlangchainlangsmithpostgresredispython
Topics
agent-protocolagent-serverai-agentslangchainlanggraphlanggraph-apilanggraph-runtimelanggraph-runtime-inmemlanggraph-runtime-postgreslangsmith+7 more
Similar Tools
langgraphlangchain
Keywords
multi-agent trustagent track recordagent-to-agent evaluation