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ChainMemory vs LlamaIndex
LlamaIndex provides data indexing for LLMs, not cross-model verifiable memory with blockchain anchoring.
ChainMemoryPortable, verifiable memory for AI agents — works across ChatGPT, Claude, Gemini and any MCP client
LlamaIndexFramework for LLM apps and agents over your dataWhich to pick
Pick ChainMemory if you want…
- Cross-model verifiable AI memory
- Integrations with Chrome extension, MCP server or REST API (on ChainMemory's list, not LlamaIndex's)
Pick LlamaIndex if you want…
- Agentic OCR for complex docs
- LLM data indexing
- Open-source code (run-llama/llama_index on GitHub, MIT license)
- Integrations with Microsoft Azure Marketplace (on LlamaIndex's list, not ChainMemory's)
Side by side
- What it is
- ChainMemory:ChainMemory provides portable, verifiable, persistent memory for AI agents across models via Chrome extension, MCP server, or REST API.
- LlamaIndex:LlamaParse converts complex documents into structured, AI-ready data with agentic OCR and extraction.
- Best for
- ChainMemory:Cross-model verifiable AI memory
- LlamaIndex:Agentic OCR for complex docs
- Who it’s for
- ChainMemory:Developers building AI agents that need cross-model context and audit-ready memory.
- LlamaIndex:Developers building AI agents and RAG pipelines that need accurate document parsing.
- Pricing
- ChainMemory:Freemium
- LlamaIndex:Freemium
- Plans
- ChainMemory:Free $0
- LlamaIndex:Free $0
- Open source
- ChainMemory:—
- LlamaIndex:Yes, 52,381 GitHub stars
- Works with
- ChainMemory:Chrome extension, MCP server, REST API, Node.js, Python, Go
- LlamaIndex:Microsoft Azure Marketplace
ChainMemory features
- Cross-model portability. Save memories in one model (e.g., ChatGPT) and recall them in others like Claude or Gemini.
- Cryptographic verification. Each memory gets a hash and project states are anchored with Merkle proofs for immutable integrity.
- Project Brain. Aggregates memories into a structured, queryable project state with decisions, milestones and risks.
- Multi-agent native support. Multiple agents share a single consolidated state with full attribution.
- Chrome extension & MCP server. One-click saving from chat windows or direct integration via MCP for any client.
- REST API & SDKs. Full API and Node.js/Python/Go SDKs to save, search, inject context and verify states programmatically.
LlamaIndex features
- Agentic OCR. Layout-aware parsing of tables, charts, images and handwriting with high accuracy.
- Schema-based Extraction. Turn unstructured content into structured JSON using LLM-powered agents without training.
- Document Splitting & Classification. Automatically segment and categorize documents using natural-language rules.
- Enterprise Indexing. Chunking and embedding pipeline for precise retrieval in RAG applications.
- LiteParse Local Engine. Open-source, fast, on-device parsing of PDFs, Office files and images with no cloud limits.
- Security & Compliance. SOC 2, GDPR, HIPAA compliance with encryption, VPC deployment and granular access controls.
ChainMemory vs LlamaIndex FAQ
Is ChainMemory or LlamaIndex free?+
ChainMemory has a free plan and paid plans. LlamaIndex has a free plan and paid plans.
Is ChainMemory or LlamaIndex open source?+
LlamaIndex is open source (run-llama/llama_index on GitHub, MIT license). DevHunt has no public source repository on record for ChainMemory.
Do ChainMemory and LlamaIndex integrate with the same tools?+
Their integration lists don't overlap: ChainMemory lists Chrome extension, MCP server, REST API, Node.js and 2 more; LlamaIndex lists Microsoft Azure Marketplace.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.