maximem-synap-claude-agent 0.1.1

Synap memory integration for Anthropic's Claude Agent SDK

synap-claude-agent

Synap memory integration for Anthropic's Claude Agent SDK (Python).

A TypeScript sibling package with the same API is published as @maximem/synap-claude-agent.

Install

pip install synap-claude-agent

Requires claude-agent-sdk>=0.1, maximem-synap>=0.2.0.

Two plug points

1. Hooks — automatic context injection

create_synap_hooks(...) installs a UserPromptSubmit hook that fetches Synap context for each prompt and injects it via additionalContext. Optionally records the user prompt to conversation history for future recall.

from claude_agent_sdk import query, ClaudeAgentOptions
from maximem_synap import MaximemSynapSDK
from synap_claude_agent import create_synap_hooks

sdk = MaximemSynapSDK(api_key="sk-...")

async for message in query(
    prompt="What did I tell you about my trial?",
    options=ClaudeAgentOptions(
        hooks=create_synap_hooks(sdk, user_id="alice", customer_id="acme"),
    ),
):
    print(message)

2. MCP tools — explicit read/write

create_synap_mcp_server(...) returns an in-process MCP server with two tools:

• synap_search(query, max_results?) — semantic search over the user's memory
• synap_remember(content, metadata?) — persist an explicit fact

options = ClaudeAgentOptions(
    mcp_servers={"synap": create_synap_mcp_server(sdk, user_id="alice")},
    allowed_tools=["mcp__synap__synap_search", "mcp__synap__synap_remember"],
)

Use both together for the full experience: automatic context injection plus agent-initiated read/write.

Error policy

• Hooks never raise — SDK failures log at ERROR and fall through to no-op (no context injected, no prompt recorded). Context-provider style.
• synap_search tool returns a "no context available" message on SDK failure — the tool call succeeds so the agent loop keeps going.
• synap_remember tool returns isError=true on ingestion failure — silent drops would hide ingestion outages, so we surface them to the agent explicitly.