REST API for Memgentic — memory search, management, skills, and real-time updates
Project description
memgentic-api
REST API for Memgentic — memory search, management, and real-time updates. Built on FastAPI + memgentic's intelligence extras.
pip install memgentic-api
memgentic-api serve # http://localhost:8100
What it exposes
| Surface | Endpoints |
|---|---|
| Memories | CRUD, pinned, related, semantic/keyword search, batch update, topic autocomplete |
| Collections | User-defined groups with CRUD + membership |
| Skills | Agent Skills standard — create, file management, distribute to AI tools |
| Uploads | Text, file (.md/.txt/.pdf/.docx), URL import |
| Persona | Read + patch the T0 persona card |
| Briefing | Recall Tiers (T0–T4) rendered server-side |
| Watchers | Cross-tool capture install/enable/status/logs |
| Chronograph | Bitemporal knowledge-graph query + mutate |
| WebSocket | Real-time activity feed |
Full endpoint reference: docs/API_GUIDE.md on GitHub.
Why separate from the core package?
memgentic (the core) is an extractable library — the CLI, MCP server, ingestion pipeline, and storage layer all live there with no FastAPI dependency. Installing memgentic-api pulls in the REST surface + the intelligence extras so the dashboard and external clients can hit HTTP.
For the full architecture + MCP-vs-REST trade-off, see the root README.
License
Apache 2.0. See LICENSE.
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