A single-file portable memory layer for AI agents with vector search, full-text search, and long-term recall packed into one.mv2 file
memvid-core2.0.1409.8k/90d updated 3mo ago

juyterman1000/entroly
Information-theoretic Context Engineering Engine that uses reinforcement learning to intelligently prune and select optimal RAG fragments.
A single-file portable memory layer for AI agents with vector search, full-text search, and long-term recall packed into one.mv2 file
memvid-core2.0.1409.8k/90d updated 3mo ago
BAMLby BoundaryML
A simple prompting language for building reliable AI workflows and agents. BAML's compiler is written in Rust!
baml0.221.05.1k/90d updated today
montyby pydantic
A minimal, secure Python interpreter for running LLM-generated code in AI agents, with microsecond startup, strict sandboxing, and snapshotting support
monty1.2.098.3k/90d updated today
vestigeby samvallad33
Causal proof engine and operating system for AI agents built on Strata, an append-only signed log. No vectors and no RAG. Every answer carries its proof as a memory id, an edge path or a receipt, and it traces a failure back to the commit that caused it
v5.0.0updated today
Cortex Memoryby sopaco
A complete solution for agent memory, from extraction and vector search to automated optimization, and insights dashboard out-of-the-box.
2.7.1updated 3mo ago
pondby tenequm
Lossless storage and search for AI agent sessions across twelve coding-agent clients, built on Lance over a local directory or an S3 bucket, with BM25 and optional vector retrieval exposed over CLI, HTTP, MCP and read-only SQL
pond-db0.20.1763/90d updated 6d ago
tokio-prompt-orchestratorby Mattbusel
Tokio pipeline for serving LLM requests with dedup, circuit breakers, retries, rate limits and a dead-letter queue in front of Anthropic, OpenAI, llama.cpp or vLLM.
tokio-prompt-orchestrator2.0.4118/90d updated 1d ago