Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
total-agent-memory
Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-02-16
- GitHub stars
- 70
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
| **Jev contradiction scorer** | `MEMORY_CONTRADICTION_SCORER=jev` plus `TYPESAFE_API_KEY`. The default stays `llm`. The client retries 408, 429, 5xx and connection errors like the official SDKs, honours `retry-after-ms` / `Retry-After` up to 60 s, and reports `jev_*` counters and a `jev_request_ms` latency histogram. |
Evidence commit: 95ea2b881f507cc303eda32fc1d9849c8cf228aa
Discovered through: github-search.
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