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MemoryGraph vs Pipelex
Short answer: Pick MemoryGraph if you want graph-structured memory for AI agents; pick Pipelex if you want declarative AI workflow orchestration. MemoryGraph has a free plan, paid from $5/month; Pipelex is free and open source.
MemoryGraphGraph based MCP Memory Server for AI Coding Agents
PipelexDeclarative language for repeatable AI workflows (MIT)Which to pick
Pick MemoryGraph if you want…
- Graph-structured memory for AI agents
- Integrations with Claude (Desktop/Code), custom GPT implementations or any MCP-compatible assistant (on MemoryGraph's list, not Pipelex's)
Pick Pipelex if you want…
- Declarative AI workflow orchestration
- Repeatable AI workflow definition
- A free, open-source tool
- Integrations with Claude Code, Codex or FastAPI (on Pipelex's list, not MemoryGraph's)
Side by side
- What it is
- MemoryGraph:MemoryGraph provides graph-based persistent memory for AI assistants via the Model Context Protocol.
- Pipelex:Pipelex is a declarative language and Python runtime for building repeatable, agent-first AI workflows that run on any model or provider.
- Best for
- MemoryGraph:Graph-structured memory for AI agents
- Pipelex:Declarative AI workflow orchestration
- Who it’s for
- MemoryGraph:Developers building AI coding agents that need long-term, relational memory.
- Pipelex:Developers building LLM pipelines, AI agents, and chatbot tools.
- Pricing
- MemoryGraph:Freemium
- Pipelex:Open source
- Starting price
- MemoryGraph:$5/month (PRO)
- Pipelex:Free
- Free plan or trial
- MemoryGraph:—
- Pipelex:Free to use
- Plans
- MemoryGraph:PRO $5/month per month · ULTRA $50/month per month · TEAM $100/month per month
- Pipelex:—
- Open source
- MemoryGraph:Yes
- Pipelex:Yes
- Works with
- MemoryGraph:Claude (Desktop/Code), custom GPT implementations, any MCP-compatible assistant
- Pipelex:Claude Code, Codex, FastAPI, VS Code, n8n, TypeScript, Python, Docker
MemoryGraph features
- Automatic memory capture. Stores solutions, patterns and decisions automatically as the agent works.
- Graph relationships. Creates typed edges (e.g., SOLVES, DEPENDS_ON) to enable multi-hop, temporal queries.
- Semantic recall. Fuzzy, relevance-based search across stored memories with recall_memories().
- Backend flexibility. Supports SQLite, FalkorDBLite, FalkorDB server, Neo4j, Memgraph and future cloud backend.
- Data portability. Migrate, export to JSON, and rollback memories between backends without lock-in.
- Cloud sync & team workspaces. Managed cloud backend shares memories across devices and teams with SSO support.
Pipelex features
- Declarative MTHDS language. Write typed AI methods in a Dockerfile/SQL-like syntax that defines steps, inputs, and outputs.
- Agent plugins. Claude Code and Codex plugins let agents design, run, and save methods directly from the IDE.
- Multi-environment execution. Run methods as a chatbot MCP, a webapp, or via API/CLI on any infrastructure.
- Open standard runtime. Pipelex runtime executes methods locally or in Docker, handling model routing and structured output.
- SDKs and integrations. TypeScript (@pipelex/sdk) and Python (pipelex-sdk) clients generate typed calls to the Pipelex API.
- VS Code extension. Provides syntax highlighting, linting, and formatting for .mthds files.
MemoryGraph vs Pipelex FAQ
What is the difference between MemoryGraph and Pipelex?+
Pipelex: Declarative workflow language for AI tasks; lacks built-in memory graph capabilities.
Should I use MemoryGraph or Pipelex?+
Pick MemoryGraph if you want graph-structured memory for AI agents or integrations with Claude (Desktop/Code), custom GPT implementations or any MCP-compatible assistant (on MemoryGraph's list, not Pipelex's). Pick Pipelex if you want declarative AI workflow orchestration, repeatable AI workflow definition or a free, open-source tool.
Is MemoryGraph or Pipelex free?+
MemoryGraph has a free plan; paid plans start at $5/month (PRO). Pipelex is free and open source.
Which is cheaper, MemoryGraph or Pipelex?+
Pipelex is free, so it costs less. MemoryGraph starts at $5/month (PRO).
Is MemoryGraph or Pipelex open source?+
Yes, both are open source: MemoryGraph (gregorydickson/memory-graph on GitHub) and Pipelex.
Do MemoryGraph and Pipelex integrate with the same tools?+
Their integration lists don't overlap: MemoryGraph lists Claude (Desktop/Code), custom GPT implementations and any MCP-compatible assistant; Pipelex lists Claude Code, Codex, FastAPI, VS Code and 4 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.