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AI Memory

by eyyit
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Python
Remote

AI Memory

Self-hosted memory with PostgreSQL canonical records, provenance and durable jobs; Qdrant semantic indexing; CPU inference; REST and MCP interfaces.

The source includes importers for assistant JSON exports, Gemini activity HTML, supported export archives, Git metadata, and shell history. Imports are incremental and apply pattern-based secret redaction. Review imported facts and sensitive material; redaction is not a guarantee.

Client behavior

Connecting MCP does not automatically save conversations. Client instructions can encourage relevant retrieval and confirmed durable-fact saves. Each client's tool availability and approval policy still apply. The service does not passively capture transcripts or export inaccessible native memories.

Usage counters retain 30 days of hourly aggregates, including operation, outcome, result counts, and average/max duration. Query text, memory contents, tokens, and raw client identities are not stored by those counters. Monitoring traffic is separate. Counters are best effort, not lossless audit records.

Related MCP server: memser

Development

Use Python 3.11 or newer and install development dependencies:

python -m venv .venv
. .venv/bin/activate
python -m pip install -e '.[test]'
python -m pytest

OAuth gateway tests also require gateway/requirements.txt. CPU model tests and live-service tests have separate dependencies and runtime requirements.

Deployment examples

The Compose files are examples requiring adaptation, not an installer. Start with OPERATIONS.md. Replace example.com and documentation-network addresses, configure private credentials, prepare model files and host paths, and build images before starting. Never use example keys in a live instance. The templates expose no public database/vector ports.

PostgreSQL is canonical; Qdrant is derived. Protect backup archives because they can contain credentials and source evidence. Keep real data, secrets, exports, models, environment files, and backups outside this repository.

This is a fresh sanitized source snapshot. Private deployment history and operator review bundles are intentionally absent. The project is licensed under Apache-2.0. See LICENSE. Dependencies and model weights retain their own licenses.

Private deployment configuration

See PRIVATE-DEPLOYMENT.md for keeping local settings beside public source without tracking them or sending them to Docker builds.

This server cannot be deployed

Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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