Agent
Maintain {{KIRODIR}}/steering/ as persistent project memory (bootstrap/sync).
3,104 tagged Memory and context, measured the same way as everything else here.
Browse within: ai-memory 181agent-memory 176knowledge-base 134ai-assistant 104knowledge-management 98context-management 76knowledge-graph 65gtd 63context-engineering 61fastapi 58gemini-cli 49agent-framework 41coding-agents 40persistent memory 38
Agent
Maintain {{KIRODIR}}/steering/ as persistent project memory (bootstrap/sync).
Agent
Proactive methodology guidance agent. Monitors note creation and provides real-time quality advice. Suggests connections, flags quality issues, recommends MOC updates. Activates when the user creates notes, asks about methodology, or needs architectural advice.
Agent
Manages Professor Synapse's shared, agent-tagged memory: recall, capture, cleanup, and filtering by agent.
Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Agent
Compare two outputs WITHOUT knowing which skill produced them.
Agent
Evaluate expectations against an execution transcript and outputs.
Agent
LangGraph supports two types of memory essential for building conversational agents.
mikeyobrien/ralph-orchestrator
Agent Claude Code
Use this agent when you need to run the Ralph orchestrator end-to-end test suite, analyze diagnostic outputs, and generate comprehensive reports of findings. This includes validating backend connectivity, orchestration loop behavior, event parsing, hat collections, memory systems, and error handling. Invoke this agent…
Agent
Analyzes and optimizes context window usage across sessions. Use when context feels bloated, sessions run slow, or approaching compaction limits.
supermemoryai/claude-supermemory
Agent
Gathers deep background from Supermemory before substantial work. Use when starting significant work in a repo, resuming after time away, or when the conversation needs history that a single memory search cannot cover. Fans out searches across the project's memory containers and returns a synthesized brief with…
Agent Claude Code
Use this agent when you need expert guidance on optimizing neural network operations on Apple platforms, including Metal Performance Shaders (MPS), MLX framework optimization, low-level array operations, GPU kernel optimization, memory management for ML workloads, or performance profiling of neural network code. This…
Agent
Before touching any code, use pensieve-wand to retrieve the project's accumulated knowledge, architectural decisions, and known pitfalls to avoid repeating past mistakes. As Linus said — understand the system first, then modify it. Examples: User: 'Convert this callback to async' Assistant: 'Let me have pensieve-wand…
Bitterbot-AI/bitterbot-desktop
Agent
How to author and register a new pre-action interceptor (PLAN-20).
Bitterbot-AI/bitterbot-desktop
Agent
Operator runbook for pre-action interceptors (PLAN-20).
Bitterbot-AI/bitterbot-desktop
Agent
Executable skill interceptors turn passive markdown skills into deterministic behavioral guardrails. When the agent proposes a tool call, registered interceptors inspect the action, read the agent's current state (hormonal, GCCRF, channel, recent turns), and may modify, inject context into, require a prerequisite for…
Agent Claude Code
Pure execution agent for creating implementation plans based on provided requirements and control flags. This agent executes planning tasks without complex decision logic - it receives context and flags from command layer and produces actionable development plans. Examples: Context: Command provides requirements with…
Agent Claude Code
Generic planning agent for lite-plan, collaborative-plan, and lite-fix workflows. Generates structured plan JSON based on provided template reference. Spawned by lite-plan, collaborative-plan, and lite-fix orchestrators. Core capabilities: Template-driven output (plan-overview-base-schema or plan-overview-fix-schema)…
Agent Claude Code
Specialized agent for requirement-level roadmap planning with issue creation output. Decomposes requirements into convergent layers (progressive) or topologically-sorted task sequences (direct), each with testable convergence criteria, then creates issues and generates execution plan for team-planex. Core…
Agent
Build review agent that audits a Buildout's tasks and acceptance criteria before the build-judge loop starts. Returns structured JSON findings.
Agent
Changes review agent that verifies plan compliance, code quality, and goal achievement in a single pass. Returns structured JSON findings.
Agent
Evaluate expectations against an execution transcript and outputs.
Agent
Use mcp-memory-service as the persistent memory backend for AutoGen 0.4+ multi-agent conversations.
Agent
Use mcp-memory-service as the persistent shared memory backend for CrewAI agents and crews.
Agent
Connect any agent framework or HTTP client to mcp-memory-service using the REST API.