YantrikClaw Fork Adds Cognitive Memory, Companion Mode, and Tier-Aware Tools to ZeroClaw

What YantrikClaw Adds to ZeroClaw
YantrikClaw is a fork built on top of the ZeroClaw ecosystem. It maintains all existing OpenClaw functionality including 20+ channels, support for all LLM providers, and a single binary distribution, while adding three significant feature sets.
Core Features from the Source
- Cognitive Memory (YantrikDB) — A persistent memory system that extends beyond basic conversation history. It includes semantic recall, episodic memory, knowledge graphs, and personality traits. This allows the AI to remember preferences, decisions, and relationships across conversations rather than being limited to the last 10 messages.
- Companion Mode — Features bond tracking, personality evolution, and 70+ instincts that drive proactive behavior. The AI can reach out when it has relevant information instead of waiting for user prompts.
- Tier-Aware Tool Selection — Adapts the tool interface based on model size. For 0.5B models running on devices like Raspberry Pi, it uses MCQ-based selection with embedding-ranked candidates. For 100B+ models, it provides the full tool set. The same agent binary works across any hardware configuration.
Installation and Community
Install via Cargo: cargo install yantrikclaw
The project is MIT licensed and actively seeking contributors, particularly for developing new instincts, memory backends, and small model testing. Resources are available on GitHub at github.com/yantrikos/yantrikclaw and the community subreddit at https://www.reddit.com/r/YantrikClaw/.
📖 Read the full source: r/openclaw
👀 See Also
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Kvaser is a Man-in-the-Middle MCP proxy that orchestrates sub-agents with smart tool whitelisting, zero-embedding RAG via Kiwix, and Wolfram Engine integration for symbolic math. Built with Qwen 3.6 35B and sub-agent routing to different models/machines.

Agent Memory Protocol (AMP): Open Spec for Interoperable AI Agent Memory on Top of MCP
AMP defines a standard interface for persistent memory in MCP-compatible agents with six core verbs: encode, recall, forget, consolidate, pin, and stats. Includes compliance test suite and reference implementation.