No description
The model emits cleanup ops as XML elements (<drop>block:x</drop>, <release handle="x"/>, <collapse>turns N-M "summary"</collapse>) but the parser only handled prose format (drop: block:x). Add XML regex matchers alongside the existing prose parser so both formats are recognized, executed, and stripped from the streaming output. |
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|---|---|---|
| deploy | ||
| opencode-plugin | ||
| sql | ||
| src/mnemosyne | ||
| tests | ||
| .gitignore | ||
| .python-version | ||
| ARCHITECTURE.md | ||
| docker-compose.yml | ||
| mnemosyne.toml | ||
| pyproject.toml | ||
| README.md | ||
| REFERENCES.md | ||
| ROADMAP.md | ||
| SCHEMA.md | ||
Mnemosyne
Object-addressed context memory for LLM agents. Built on Pichay's demand paging foundation.
Status
Work in progress. See ARCHITECTURE.md and ROADMAP.md for design details.