yantrikos/yantrikdb-server — Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades sta…

Description and use

YantrikDB is an open‑source cognitive memory database designed for AI agents, offering automatic duplicate consolidation, contradiction detection, and temporal decay to fade stale memories. Implemented in Rust and released under the AGPL, it can be used as a library, a multi‑process server (MCP), or deployed as an HTTP‑based cluster. The project fits within orchestration, AI/ML, and backend ecosystems.

Problem

yantrikos/yantrikdb-server helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, AGPL, ships as library / MCP server / HTTP cluster.

Source