Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Apache-2.0, ships as library / MCP server / HTTP cluster.
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Updated
Aug 25, 2026 - Rust
Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Apache-2.0, ships as library / MCP server / HTTP cluster.
A memory-first AI agent that remembers why decisions were made — not just the last message. Runs local (Ollama), cloud (Claude · OpenAI · Gemini), or decentralized TEE. Graph memory, self-learning skills, multi-model routing, sandboxed tools. MCP · ACP · A2A. One Rust binary.
Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). Apache-2.0.
Self-hosted semantic memory over MCP for an engineering team's tacit knowledge. Rust, Postgres + pgvector.
A cognitive substrate for AI agents — hyperdimensional memory with first-class goals, beliefs, sensory, self-model, and a non-destructive unlearn primitive. Rust top to bottom, embedded-first, no LLM in the read path. One binary, no query language.
The verifiable memory cortex for AI agents: a semantic graph and vector search with zero-knowledge provenance.
Rust crate for chaotic semantic memory - echo state networks and hyperdimensional vectors.
Neomemx is a high-performance, multi-tenant memory layer for AI agents build with Rust.
Tokio-native agent memory — episodic, semantic, working memory with decay, persistence, and multi-agent bus
Semantic Memory OS — universal OpenAI-compatible memory proxy for AI agents. Native Rust, ort+ONNX NLI, SurrealDB embedded.
Persistent semantic memory service and MCP adapter for AI agents, powered by PostgreSQL and local Ollama models.
A high-performance Model Context Protocol (MCP) server written in Rust that extends AI models into autonomous coding agents with semantic memory, built-in Git tools, and codebase indexers
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