Cross-session memory and recall for AI agents — git-synced knowledge base, knowledge graph, confidence scoring, hybrid semantic+TF-IDF search, auto-distillation with secrets scrubbing
Synchronize AI coding–agent knowledge files (rules, templates, guidelines) across your project.
GoodVibes personal operator assistant TUI with a proactive Agent product brain, isolated Agent Knowledge, local profiles, routines, skills, personas, and explicit build delegation.
Agent knowledge tools powered by Hindsight — harness-agnostic SDK
AKF — Agent Knowledge Format SDK for TypeScript
akm (Agent Knowledge Management) — A package manager for AI agent skills, commands, tools, and knowledge. Works with Claude Code, OpenCode, Cursor, and any AI coding assistant.
Source-grounded, eval-gated knowledge growth primitives for agents.
Knowledge base CLI for querying and curating agent knowledge.
CLI for Pagenti — package manager for agent knowledge, instructions, prompts, and playbooks
CLI for structured AI agent knowledge bases — versioned documents, deterministic queries, integrity verification, and MCP integration
DQL agent: knowledge graph, Skills, block-first answer loop, and pluggable LLM providers (Claude / OpenAI / Gemini / Ollama)
Core engine for AI agent knowledge bases — selectors, versioning, graph traversal, integrity verification, and context management for LLMs
Agent Knowledge Protocol — decentralised, peer-reviewed knowledge graph for AI agents
ai agent knowledge base management tool
Agent knowledge marketplace. 227 products, 6 MCP tools, x402 payments. Micro-products from $0.49. By Melisia Archimedes.
Built by Claude, for Claude. MCP server for agent-to-agent knowledge sharing.
Persistent, searchable agent knowledge store for pi — learn, connect, recall
Ship compositional knowledge for AI coding agents alongside your npm packages
A shared agent knowledge system with brain-inspired memory decay, associative linking, and knowledge graph visualization — exposed as an MCP server.
Agent-memory extension for org-cli: persists agent knowledge and daily notes to an org workspace, overriding memory-wiki.
Generate agent.json manifests for the agent knowledge exchange protocol
AWS SDK for JavaScript Bedrock Agent Runtime Client for Node.js, Browser and React Native
Specwright overlay plugin for Material UI — MUI-specific FIELD_TYPES, selector patterns, and agent knowledge
AI coding agent
Bash tool for AI agent harnesses — autonomous shell execution with tokio process management, cwd-carry, inactivity timeout, head+tail spill, background jobs
Glob tool for AI agent harnesses — bash-style pattern matching with .gitignore enumeration, alias pushback, NOT_FOUND siblings, and auto-split absolute-path patterns
Grep tool for AI agent harnesses — ripgrep-library content search with structured output modes, .gitignore respect, alias pushback, and fuzzy NOT_FOUND siblings
LSP tool for AI agent harnesses — language-server-protocol operations (hover, definition, references, symbols) with manifest, lazy-spawn policy, pluggable client adapter
Read tool for AI agent harnesses — filesystem read with pagination, binary sniff, directory listing, attachment shape, NOT_FOUND fuzzy siblings
Skill tool for AI agent harnesses — authored SKILL.md activation with progressive disclosure, permission-gated activation, trust-gated project skills, and pluggable SkillRegistry
WebFetch tool for AI agent harnesses — HTTP GET/POST with SSRF defense, readability+markdown extraction, redirect-chain reporting, size caps, and per-session cache
WebSearch tool for AI agent harnesses — declarative web search via a session-configured SearXNG backend, with SSRF defense, permission hook, result-count cap, and a discriminated result surface
Write/Edit/MultiEdit tool for AI agent harnesses — atomic write, read-before-edit ledger, OLD_STRING_NOT_UNIQUE with match locations, OLD_STRING_NOT_FOUND with fuzzy candidates, sequential multi-edit pipeline
Simple keyword-indexed knowledge base for LLM agents
Aircana generates distributable Claude Code plugins with specialized agents backed by Confluence and web knowledge sources. Includes manifest-based knowledge tracking, ERB template generation, and team collaboration features.
Funes provides an intelligent memory layer and knowledge base interface for AI agents, enabling persistent context storage and retrieval through a command-line interface.
A knowledge base that grows with every session your AI agent runs. Findings accumulate in a persistent, append-only store, so your agent can build on what it already knows instead of starting from scratch. Keyword-indexed and searchable from any CLI.
A unified platform for knowledge, task management, and chat communication with AI Agents
Domain knowledge transfer modeling for brain-modeled agentic AI
Claw is an Agent framework built on ruby-mana. Adds interactive chat, persistent memory with compaction, knowledge base, and runtime state persistence.
Equipment for orchestrating multiple agents in origin-centric networks with asymmetrical knowledge distribution.
Johari Window for AI — tracks unknown-unknowns, manages knowledge boundaries, and scores agent awareness with blindspot acknowledgement and mitigation strategies.
Tulving semantic memory store for brain-modeled agentic AI — concept storage, taxonomic relations (is_a, has_a, part_of), spreading activation retrieval, and knowledge consolidation with confidence-based decay.
cangming-ai-dev-kit provides cross-agent development skills (plan-first, safe-code-change, code-review, verify-before-done), domain-specific knowledge (Flutter/Dart, HarmonyOS/ArkTS/ArkUI), and shell scripts. Install with `gem install` and use the CLI to sync skills to Claude Code or Codex.
Provides RobotLab::Durable — a YAML-backed knowledge store that lets robot_lab agents accumulate and recall observations across sessions. Includes Entry (immutable value object with confidence scoring), Store (file-locked per-domain persistence), Reflector (end-of-session promoter), and the Learning mixin with RecallKnowledge/RecordKnowledge tools that integrate directly into Robot when robot_lab is present.
A comprehensive Ruby implementation of a Knowledge-Based System featuring: • RETE Algorithm: Optimized forward-chaining inference engine with unlinking optimization for high-performance pattern matching • Declarative DSL: Readable, expressive syntax for rule definition with built-in condition helpers • Blackboard Architecture: Multi-agent coordination with message passing and knowledge source registration • Flexible Persistence: SQLite (durable), Redis (fast), and hybrid storage backends with audit trails • Concurrent Execution: Thread-safe auto-inference mode for real-time processing • AI Integration: Native support for LLM integration (Ollama, OpenAI) for hybrid symbolic/neural reasoning • Production Features: Session management, fact history, query API, statistics tracking Perfect for expert systems, trading algorithms, IoT monitoring, portfolio management, and AI-enhanced decision systems.
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