v1.0.0 - Low-Impact Runtime and Verification Evidence
v1.0.0 - Low-Impact Runtime and Verification Evidence
This release focuses on making codex-agent-mem cheaper to run, easier to audit, and safer for long-lived Codex Desktop sessions.
Highlights
- Low-impact MCP profiles:
minimal,standard, andfull. - Real
--read-onlymode for MCP usage. - Lazy SQLite initialization so unused MCP connections stay cheap.
- Compact MCP response text with full payloads retained in
structuredContent. known_pack_hash/not_modifiedsupport to avoid resending unchanged continuity packs.- Runtime health diagnostics with cache, lazy-init, heartbeat, and spawn-storm fields.
- Optional local telemetry and optional daemon/stdio bridge.
Verifiable results
This release includes reproducible public verification data under docs/verification/.
The published verification run was executed with Codex Desktop, model GPT-5.4, reasoning effort xhigh, using synthetic fixtures only.
Measured scenarios:
- Small project continuity: 1,841 -> 216 tokens, ~88.27% saved.
- Medium agent workflow: 4,855 -> 233 tokens, ~95.20% saved.
- Large repeated audit: 9,731 -> 232 tokens, ~97.62% saved.
- Sub-agent handoff example: 6,523 -> 239 tokens, ~96.34% saved.
These numbers are not a universal guarantee. They are reproducible measurements showing the potential when repeated project context can be compacted.
Validation
- pytest: 32 passed.
- ruff: all checks passed.
- staging build: wheel and sdist generated.
- public verification runner reproduced successfully.
- staged content scanned for internal/private paths before publication.