claude-supermemory Alternatives

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

Your lightweight open-source personal agent.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

The local-first control plane for long-horizon coding agents: cross-session project memory (ContextDB), adaptive workflow routing, multi-agent teams, resumable overnight runs, and verifiable evidence — on top of Codex CLI, Claude Code, Gemini CLI, OpenCode, Hermes, Grok, WorkBuddy, Pi, ZCode, and Qoder.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

Coding agent memory for Claude Code, Codex, Cursor and 40 more, built from the session history already on your disk. Local search, MCP and hooks, no LLM, one Go binary.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

Pluggable extension packages for the Pi AI-agent runtime. Each package exposes LLM-callable tools via MCP — covering IM workspace integrations (Lark, DingTalk, WeCom), browser & computer automation, persistent memory, telemetry, task scheduling, image generation, web access, security policies, and more.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

General-purpose agent in one static Go binary: console TUI, ACP server for editors, OpenAI-compatible API with embedded web UI, Telegram gateway, cron scheduler, swarm relay, remote mode. Rules, skills, subagents, hooks, MCP, background tasks, long-term memory, context compaction. Any OpenAI-compatible provider, distroless-ready.

Same mcp server intent with agent_memory, mcp overlap.

Fit: Strong replacement candidate with overlapping indexed use cases.

Command a fleet of AI agents, on every deck, every desk, every wrist. Self-hosted multi-agent platform with memory, a coding pipeline, Flows, a team kiosk and voice devices. Any LLM, or 100% local with Ollama.