AI Agents

    Long-lived memory for autonomous agents.

    Give your agents persistent memory, tool context, and grounded retrieval. Endee stores every observation, plan, and tool result as a vector so your agents can recall and reason across sessions.

    Try Endee free
    Agentic AI orchestrator with vector memoryCentral reasoning agent calls multiple tools and retrieves context from a vector memory store powered by Endee.VECTOR MEMORYendee · retrieve()AGENT · plan → actsearch()code()browser()api()
    Orchestrator · tools · vector memory

    4x

    More reliable

    Endee-powered agents complete workflows nearly 4x more often

    compared to systems operating at lower recall. High-recall retrieval means agents never work from stale or missing context, reducing hallucinated tool calls and failed tasks.

    Capabilities

    Everything an agent needs to remember

    Long-term Semantic Memory

    Agents store experiences, facts, and task outputs as vectors. On the next run, they retrieve the most relevant memories semantically rather than by recency or keyword. Memory quality improves as the agent accumulates experience.

    Persistent Across Sessions

    Context survives LLM context window limits and session restarts. Agents pick up where they left off using memory retrieved from Endee, genuinely stateful across days, weeks, and months of operation.

    Native Framework Integrations

    Official integrations for CrewAI, LangChain, and LlamaIndex. Drop Endee in as the vector store with no architecture changes. The EndeeStorage adapter for CrewAI and the EndeeVectorStore for LangChain are available on PyPI.

    Multi-agent Shared Memory

    Multiple agents can read from and write to the same Endee index. Metadata tags (agent_id, session_id, memory_type) let agents query their own memories or shared team memory with a single API call.

    Memory Types & Namespacing

    Separate episodic memory (past experiences), semantic memory (facts and knowledge), and procedural memory (how to accomplish tasks) into distinct namespaces. Retrieve exactly the right category of memory for each context.

    4x Higher Workflow Completion

    Endee-powered agents complete workflows nearly 4x more often compared to systems operating at lower recall. High recall means agents always retrieve the right context, reducing hallucination and failed tool calls.

    Architecture

    Shared memory across multiple agents

    Multi-agent shared memory poolThree agents Research, Writing, and Orchestrator share a single Endee vector memory index with per-agent and per-session namespace tagging.Shared MemoryIndextagged by agent_id · session_idResearch AgentAgent A · readsWriting AgentAgent B · writesOrchestratorAgent C · reads + writesepisodicsemanticprocedural

    Framework Integrations

    Works with your existing agent stack

    CrewAILangChainLlamaIndexAutoGenHaystack