AGM — Agent Memory Management. Provenance-tagged memory infrastructure for multi-agent AI systems. MCP server with trust scoring, behavioral fingerprinting, and memory poisoning defense.
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# AGM -- Agent Memory Management **`agm-memory-mcp`** -- Provenance-tagged memory infrastructure for multi-agent AI systems, available as an MCP server. Solves two problems current agent memory systems ignore: 1. **Agent identity and trust** -- knowing which agent wrote what and whether it can be trusted 2. **Memory poisoning** -- detecting and containing malicious or corrupted memories before they propagate through agent reasoning > Existing systems (MemGPT, Mem0, HippoRAG) have no memory > states, no trust provenance, and no causal ordering. > AGM is infrastructure for pipelines that need those properties. --- ## Install ```bash pip install agm-memory-mcp ``` Python import name: ```python import agent_memory_mcp ``` CLI command: ```bash agm-memory-mcp --help ``` --- ## Requirements - Python 3.11+ - A running AgentMemory HTTP API endpoint This package is the MCP bridge. It does not embed the full backend. To run the backend locally (needs only Docker): ```bash git clone https://github.com/Deep-De-coder/AGM cd AGM/agent-memory docker compose up --build # API on http://localhost:8000 ``` --- ## Configuration Set either CLI args or environment variables. Environment variables: - `AGENT_MEMORY_API_URL` (default: `http://localhost:8000`) - `AGENT_MEMORY_API_PREFIX` (default: empty string) Examples: ```bash # Linux/macOS export AGENT_MEMORY_API_URL=https://your-api.example.com export AGENT_MEMORY_API_PREFIX=/api/v1 agm-memory-mcp ``` ```powershell # Windows PowerShell $env:AGENT_MEMORY_API_URL="https://your-api.example.com" $env:AGENT_MEMORY_API_PREFIX="/api/v1" agm-memory-mcp ``` Or pass options directly: ```bash agm-memory-mcp --api-url https://your-api.example.com --api-prefix /api/v1 ``` --- ## Health Check Validate connectivity before starting MCP transport: ```bash agm-memory-mcp --check ``` Shows resolved URL and API status. Exits `0` on success, `1` on failure. --- ## Run as Module ```bash python -m agent_memory_…
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