Retrieval, memory and knowledge-base projects with an optional Jev filtering or scoring step. Jev evaluates passages before the answer is written.
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AgentScope builds agents around model reasoning and tool use, with context management, event streaming, memory and permission controls. JevClassifierModel integrates the Jev classifier through the TypeSafe SDK within this broader agent framework.
Searchable memory helps recover past decisions, debugging context and feature history across supported coding agents; Markdown remains the source of truth. Optional Jev reranking uses the remote TypeSafe API to reorder memory search results without downloading a local reranker model.
PyGPT is a multi-provider desktop assistant for Linux, Windows and macOS, with chat, agents, RAG and tool integrations. The Jev plugin exposes jev_evaluate(state, questions), returning Choice, Score or Noul results to the current model.
OpenInference supplies conventions and instrumentation for tracing AI applications, including model calls, retrieval and external tools. Its TypeSafe integration records systemOne calls as spans with JSON inputs and outputs, model and token usage; examples cover Choice, Noul and Score.
RAG-Fusion generates query variants and merges retrieval rankings with Reciprocal Rank Fusion to find material a single query may miss. Jev is an optional reranker in the evaluation pipeline; its experiments require JEV_API_KEY. The original demo remains vector-only. Compare retrieval strategies on NFCorpus with the evaluation harness; the hybrid pipeline combines BM25, vector search, fusion and reranking.
Hermes Jev Skills provides reusable skills for model routing, search, memory filtering, triage and browser actions. Jev makes bounded choices such as selecting a model or ranking retrieved passages; the host model handles prose. The skills work with Hermes, Claude Code and Codex. Shadow mode records routing decisions without switching models.
hippo-memory stores agent memories in SQLite, tracks provenance and lets feedback suppress incorrect memories. Its optional Jev reranker orders recalled memories and is disabled by default. Agents can remember and recall through the CLI or MCP, sharing memory across coding tools.
Distill is a terminal coding harness supporting Grok, Codex subscriptions and OpenAI-compatible models. Its Jev controls cover model tiers, skill suggestions and memory ranking; permissions remain the harness’s responsibility. Configure main, reasoning and utility models in Model tiers; the main model runs every session and step.
The tool extracts and indexes document content in Qdrant, plans an outline and researches each section against the local collection. Jev judges and reranks retrieved chunks and scores missing coverage; a separate LLM plans, queries and writes while Python controls retries.
RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker
Jev-Mem: System-One Controlled Agentic Memory
Automatic project memory for Claude Code. Also works with Cursor and Codex.
An AI bot with RAG capability for Topics, Chat & Customer Support in Discourse, currently powered by OpenAI
No project description available.
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.
A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.
A simple semantic cache implementaion. It caches responses from an LLM based on semantic similarity.
Jev-powered relevance filtering and reranking for RAG in Python.
A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory. works with any IDE supporting MCP servers
The invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev.
Jev-powered conversation memory: find past sessions and revisit decisions with original sources. A macOS workspace for OpenAI Codex. Manage AI conversations and agents, explore code with CodeGraph, and work with Git, Ghostty terminals, and Apple Notes in one app.
Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG
Jev-assisted file retrieval and request caching for faster Pi workflows
Coding-agent memory where every fact is a verbatim quote graded by TypeSafe Jev's calibrated confidence. Local-first, SQLite receipts, zero dependencies.