d-o-hub

d-o-hub/rust-self-learning-memory

27 resources in this repository

GitHub
🎯27
9

🎯Skills27

🎯web-search-researcher🎯Skill

A skill from the Rust Self-Learning Memory System, which provides persistent episodic memory across agent interactions through an MCP server with semantic pattern search, embeddings, and optional sandboxed code execution.

web-search-researcher
🎯codebase-analyzer🎯Skill

A self-learning episodic memory system built in Rust that provides persistent memory across agent interactions through an MCP server, with semantic pattern search, embeddings, and optional sandboxed WASM code execution.

codebase-analyzer
🎯perplexity-researcher-reasoning-pro🎯Skill

Part of Rust Self-Learning Memory System, an MCP server providing persistent episodic memory across agent interactions with semantic pattern search, embeddings, and optional sandboxed WASM code execution. This skill leverages Perplexity's reasoning capabilities for deep research tasks within the memory system's learning and retrieval workflow.

perplexity-researcher-reasoning-pro
🎯rust-code-quality🎯Skill

Part of the Rust Self-Learning Memory System, which provides persistent episodic memory across agent interactions with semantic pattern search, embeddings, and an MCP server. Includes strict code quality gates with zero clippy warnings, formatting checks, security audits, and semver verification.

rust-code-quality
🎯context-retrieval🎯Skill

A context retrieval skill from the Rust Self-Learning Memory System, providing persistent episodic memory with semantic pattern search, embeddings, and an MCP server for AI agent interactions.

context-retrieval
🎯skill-creator🎯Skill

A production-ready Rust-based self-learning episodic memory system for AI agents, featuring an MCP server with semantic pattern search, multi-provider embeddings, and a secure code execution sandbox.

skill-creator
🎯code-quality🎯Skill

A skill from the Rust Self-Learning Memory System, an MCP server providing persistent episodic memory with semantic pattern search, embeddings, and optional sandboxed WASM code execution for AI agents.

code-quality
🎯agent-coordination🎯Skill

Part of the Rust Self-Learning Memory System, which provides persistent episodic memory across agent interactions via an MCP server. Features pattern recognition with semantic search, episode lifecycle management, multiple storage backends (Turso/libSQL, redb, SQLite), and WASM-sandboxed code execution.

agent-coordination
🎯git-worktree-manager🎯Skill

A Rust-based self-learning episodic memory system for AI agents that captures, stores, and learns from experiences through semantic pattern search, embeddings, an MCP server, and optional sandboxed code execution.

git-worktree-manager
🎯perplexity-researcher-pro🎯Skill

A Rust-based self-learning episodic memory system that provides persistent memory across agent interactions via an MCP server. It captures and learns from experiences using semantic pattern search, embeddings, and optional sandboxed WASM code execution.

perplexity-researcher-pro
🎯build-rust🎯Skill

A self-learning episodic memory system built in Rust with semantic pattern search, embeddings, an MCP server, and optional sandboxed WASM code execution for persistent memory across agent interactions.

build-rust
🎯debug-troubleshoot🎯Skill

A skill from the Rust Self-Learning Memory System, which provides persistent episodic memory across agent interactions through an MCP server. Built with Rust, it features semantic pattern search, reward scoring, Turso/libSQL storage, redb caching, and optional sandboxed WASM code execution.

debug-troubleshoot
🎯architecture-validation🎯Skill

A self-learning episodic memory system built in Rust that provides persistent memory across agent interactions through an MCP server, with semantic pattern search, multiple storage backends (Turso, redb, SQLite), and optional sandboxed code execution via WASM.

architecture-validation
🎯task-decomposition🎯Skill

Part of the Rust Self-Learning Memory System, providing persistent episodic memory across agent interactions through an MCP server. Offers task decomposition with semantic pattern search, embeddings, and optional sandboxed code execution via WASM.

task-decomposition
🎯clean-code-developer🎯Skill

A Rust-based self-learning episodic memory system that provides persistent memory across agent interactions through an MCP server, featuring semantic pattern search, embeddings, reward scoring, and optional sandboxed WASM code execution.

clean-code-developer
🎯test-runner🎯Skill

A skill within the Rust Self-Learning Memory System, an episodic memory framework with semantic pattern search, MCP server integration, and sandboxed code execution that captures and learns from agent interactions to improve future performance.

test-runner
🎯general🎯Skill

A self-learning episodic memory system built in Rust that provides persistent memory across agent interactions via an MCP server. It features semantic pattern search, embeddings support (OpenAI, Mistral, local), Turso/libSQL storage, redb caching, and sandboxed WASM code execution.

general
🎯test-optimization🎯Skill

A self-learning episodic memory system built in Rust that provides persistent memory across agent interactions through an MCP server, with semantic pattern search, embeddings, and optional sandboxed WASM code execution.

test-optimization
🎯episode-log-steps🎯Skill

A Rust-based self-learning episodic memory system that provides persistent memory across agent interactions through an MCP server, featuring semantic pattern search, reward scoring, and sandboxed code execution.

episode-log-steps
🎯codebase-locator🎯Skill

A self-learning episodic memory system built in Rust that provides persistent memory across agent interactions through an MCP server. Features semantic pattern search, embeddings, reward-based learning, a fast embedded cache layer (redb), libSQL primary storage, and optional sandboxed WASM code execution.

codebase-locator
🎯parallel-execution🎯Skill

A Rust-based self-learning episodic memory system that provides persistent memory across agent interactions through an MCP server, with semantic pattern search, embeddings, and optional sandboxed WASM code execution.

parallel-execution
🎯build-compile🎯Skill

A Rust-based self-learning episodic memory system with MCP server integration, semantic pattern search, embeddings support (OpenAI, Mistral, local), and optional sandboxed WASM code execution. Built with Turso/libSQL storage, redb caching, and a full CLI for episode lifecycle management.

build-compile
🎯episode-start🎯Skill

A self-learning episodic memory system built in Rust that provides persistent memory across agent interactions through an MCP server, featuring semantic pattern search, embeddings, reward scoring, and optional sandboxed WASM code execution.

episode-start
🎯codebase-consolidation🎯Skill

A self-learning episodic memory system built in Rust that provides persistent memory across agent interactions through an MCP server, with semantic pattern search, embeddings, and optional sandboxed code execution.

codebase-consolidation
🎯episode-complete🎯Skill

A Rust-based self-learning episodic memory system that provides persistent memory across agent interactions through an MCP server, with semantic pattern search, embeddings, and optional sandboxed WASM code execution.

episode-complete
🎯web-doc-resolver🎯Skill

Skill

web-doc-resolver
🎯context-compaction🎯Skill

Skill

context-compaction