Install payload
Install payload is broadly covered in current results.
75% (9/12)
53 review · 3 limited in this set — compare to see which signals differ.
Trust signals across 40 of 56 results
2 trust signals differ in this sample: Source provenance, Submitter
Signals differ on Source provenance, Submitter — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
Install payload
Install payload is broadly covered in current results.
75% (9/12)
Adoption queue
11/56 visible results are in hold tier and need mitigation before adoption.
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
commands/optimize · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/accint-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/agentage-memory-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
tools/agentscope · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/basic-memory-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
commands/claudemd-builder · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
guides/local-first-ai-dev-stack · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/ai-butlerbrain-mcp-mcp-server · trust review · confidence 67%
Decision confidence
8/56 results are low-confidence and need review before adoption.
Address Metadata review, Package integrity before broader rollout.
54/100
commands/optimize · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/accint-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/agentage-memory-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
tools/agentscope · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/basic-memory-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
commands/claudemd-builder · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
guides/local-first-ai-dev-stack · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/ai-butlerbrain-mcp-mcp-server · trust review
Freshness distribution
Median age 40 days; 11 fresh, 1 aging or stale of 12 scanned.
Oldest entries in this view
Theme distribution
54% of this view shares the top theme. Leading themes: mcp, memory, ai-agents.
107 distinct themes across 24 scanned
MCP server for remote project memory-bank management, with multi-project directories, file listing, read/write/update tools, and path isolation.
Official reference MCP server that gives Claude persistent memory through a local knowledge graph of entities, relations, and observations, stored in a file on your own machine.
Monitors memory usage and alerts when thresholds are exceeded.
Local-first GoodMemory MCP server for giving Claude durable, scoped memory with SQLite storage, auditable recall, explicit deletion, and opt-in governed writes.
Open-source AI memory platform that gives agents persistent long-term memory by ingesting data in any format and building a self-hosted knowledge graph, combining vector embeddings, graph reasoning, and ontology generation for meaning-based and relationship-based retrieval.
Modular open-source Python framework for building AI agents and LLM workflows with structures, tools, memory, drivers, and RAG engines, from Griptape.
Open-source memory layer for AI agents and assistants that extracts, stores, and retrieves user, session, and agent memories so applications can personalize and remember across interactions, with Python and TypeScript SDKs and pluggable vector, graph, and key-value stores.
Framework-agnostic agent memory lifecycle skill and Rust-native CLI for explicit recall, evidence-backed memory, forgetting, audit, consolidation, DOX/Revolve sync, and local SQLite/FTS storage.
Apache-2.0 Python framework for building visible, controllable, production AI agents and multi-agent services with event streaming, permission controls, workspaces, sandbox backends, middleware, MCP support, Mem0 memory, agent teams, and multi-tenant multi-session serving.
MIT-licensed Agent Skills collection for context engineering, harness engineering, multi-agent architectures, filesystem context, memory systems, tool design, evaluation, hosted agents, and production agent operating loops for Claude Code, Cursor, Codex, and Open Plugins-compatible agent tools.
ByteDance long-horizon super-agent harness for research, coding, creation, subagents, skills, memory, sandboxes, MCP server support, messaging channels, LangGraph workflows, and Docker or local development.
Nous Research AI agent with terminal UI, messaging gateway, skills, memory, MCP integration, scheduled automations, subagents, terminal backends, OpenClaw migration, model switching, and persistent cross-session workflows.
JetBrains incubator Kotlin and JVM agent framework for building predictable, fault-tolerant AI agents with graph workflows, tools, MCP integration, memory, streaming, OpenTelemetry, Spring/Ktor integrations, and multiple LLM providers.
Open-source agent engineering framework for building LLM applications with agents, model abstractions, tools, middleware, RAG, streaming, memory, MCP adapters, LangGraph-backed execution, and LangSmith observability hooks.
Idiomatic Java/JVM library for building LLM-powered applications with unified model APIs, tool calling, agentic workflows, RAG, chat memory, embedding stores, MCP client support, and Spring Boot, Quarkus, Helidon, and Micronaut integrations.
Open-source platform for stateful agents with long-term memory, Letta Code local CLI agents, hosted Letta API agents, Python and TypeScript clients, skills, subagents, custom tools, MCP dependencies, and persistent agent state.
Run Linux system diagnostics from Claude — inspect CPU, memory, disk, network, services, processes, and journal logs — with the official Linux MCP Server from Red Hat's RHEL Lightspeed team, supporting both local and remote SSH-connected hosts.
Self-hostable AI agent workspace formerly known as LobeChat, with agent builder, agent groups, personal memory, model-provider routing, skills, MCP-compatible plugins, Docker deployment, Vercel deployment, and IM gateway workflows.
Microsoft open-source course for learning AI agents with lessons on agentic frameworks, design patterns, tool use, agentic RAG, trustworthy agents, planning, multi-agent systems, MCP/A2A/NLWeb, memory, browser use, and Microsoft Agent Framework.
MIT-licensed personal AI agent framework with a small Python core, WebUI, CLI, chat channels, persistent goals, memory, MCP servers, CLI Apps, cron, shell and file tools, provider routing, OpenAI-compatible API serving, and deployment paths for long-running self-hosted agents.
Open-source terminal AI coding agent from Qwen with Auto-Memory, Auto-Skills, SubAgents, Agent Teams, dynamic workflows, MCP support, multi-provider model routing, IDE plugins, desktop app, daemon mode, SDKs, IM bots, sandboxing, and worktree-aware coding workflows.
Open-source Qwen agent framework for building LLM applications with function calling, tools, planning, memory, RAG, MCP support, Docker-based code interpreter, Gradio GUI demos, BrowserQwen, Custom Assistant, and Qwen Chat backend usage.
Open-source TypeScript agent engineering framework and platform for building AI agents with tools, memory, workflows, RAG, guardrails, evals, MCP, voice, and VoltOps observability.
ButlerBrain hosted MCP server providing persistent memory for AI assistants so Claude can store and recall context across sessions via api.butlerbrain.ai.
Local-first Basic Memory MCP server for giving Claude a persistent Markdown knowledge base with note editing, semantic search, recent activity, knowledge graph context, projects, schema tools, and optional cloud sync.
MCP server for the Graphlit platform, enabling Claude to ingest, search, retrieve, organize, and operate on files, web pages, feeds, collections, conversations, memory, connectors, crawls, and RAG-ready project knowledge.
Local-first context-engineering MCP server and CLI that gives Claude token-efficient file reads, shell-output compression, code search, graph queries, persistent session memory, context packaging, verification tools, and dashboard-style token accounting through a single Rust binary.
Long-term memory MCP server for agents, with URI-addressed memories, namespaces, search, aliases, glossary triggers, a visual dashboard, and reviewable rollback snapshots backed by SQLite or PostgreSQL.
MCP server and CLI for Ruflo's multi-agent Claude Code and Codex workflow harness, exposing tools for swarms, agents, memory, hooks, daemons, plugins, federation, and project automation.
High-performance MCP server that indexes codebases into a persistent knowledge graph for structural search, call tracing, architecture summaries, dead-code detection, and cross-repo analysis.