Collection
Research and write from your own sources
Deep-research pipelines, drafting tools and retrieval over your own documents.
52 tools · showing 1–24
Coding +2Elasticsearch
Distributed search and vector database used as the retrieval backend for RAG and agentic search
Memory +1LlamaIndex
Open-source data framework for building LLM and agentic apps over your own data, with 300+ integrations
Memory +1WeKnora
Self-hostable document-knowledge framework combining RAG Q&A, a ReAct reasoning agent, and auto-generated wikis
Coding Haystack
Open-source Python framework for building production LLM pipelines for RAG, search, and agents
Coding +1Lance
Open Lakehouse Format for Multimodal AI.
Memory LanceDB
Developer-friendly open-source embedded/serverless vector database for multimodal AI, built on the Lance columnar format for billion-scale retrieval.
Coding +1Qdrant
Open-source vector database and similarity-search engine with filtering, hybrid search and a managed cloud.
Coding +1Chroma
Open-source embedding/search database for retrieval and agent memory, self-hosted or cloud
Memory Neo4j
Graph database used as agent memory and the store behind GraphRAG.
Coding +1OpenRAG
OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.
Memory TencentDB Agent Memory
Local long-term memory for AI agents using a layered semantic pipeline and symbolic compression of tool logs
Monitoring Latitude
Latitude traces your agent in production, finds the failures, and dispatches your coding agent to fix them.
Memory LEANN
Stop storing embeddings, and still keep your recall. LEANN is a low‑storage vector index that recomputes embeddings on t
Memory +1Qmd
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
Memory Mnemosyne
SQLite-based memory layer for AI agents with hybrid vector and full-text recall and a tiered BEAM architecture
Memory OpenViking
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Memory +1OpenExecutive
AI-powered virtual executive team — a single coherent executive persona backed by 8 specialist Claude agents.
Inference +2Superlinked Inference Engine (SIE)
Self-hosted Kubernetes inference cluster serving LLMs, embeddings, rerankers, OCR and vision models with cluster-wide batching.
Memory Claude-Mem
Compresses Claude Code sessions into a local SQLite and Chroma memory store, queryable from other agents over MCP
Memory CocoIndex
CocoIndex turns codebases, PDFs, Slack, inboxes, and videos into a continuously updated.
Research Exa
Embeddings-based web Search, Contents, Answer and Agent APIs for retrieval inside agents; the separate Exa MCP server is already cataloged.
Memory Moss
Knowledge-retrieval service that injects semantic search results into an agent's LLM context.
Memory Scope Recall Hermes
Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.
Coding Langroid
Python framework for building LLM applications with collaborating multi-agent message passing
More ways in
Start with another goal.
Code with an agent
Agents and libraries that read, write and review code in your repo.
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Build a personal assistant
Runtimes and skills for an agent that handles your inbox, calendar and daily errands.
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Run agents on your own machine
Runtimes, models and tooling that work on hardware you control.
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Automate your marketing
Agents that draft content, schedule posts, research leads and keep campaigns running.
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Answer your customers
Support agents, help-desk integrations and the chat channels they answer on.
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Create images, video and music
Generation and editing for imagery, animation, video and audio.
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Give agents a voice
Speech recognition, synthesis and the parts of a spoken conversation.
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