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Statewave Review

Statewave is an open-source memory runtime designed for AI agents, allowing them to store and manage memory effectively.

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Statewave — product screenshot

Why it matters

1Statewave is an open-source memory runtime for AI agents, self-hosted on Postgres.
2It captures raw events as immutable episodes and compiles them into structured memories with provenance.
3The platform enables efficient context retrieval for Large Language Models (LLMs), preventing context blowout.
4Key use cases include durable memory for support agents, coding copilots, and multi-agent platforms.

About Statewave

Business Model
Open Source
Funding
Bootstrapped
Platforms
Web, Docker
Target Audience
AI developers and teams

Pricing Plans

Self-hosted
Free
  • Open-source under Apache 2.0
  • Self-hosted on Postgres
  • No vendor lock-in
  • Full local execution

Leadership

Smaram WBC
API DocsGitHubOpen Source

Screenshots

overview

What is Statewave?

Statewave is an AI memory runtime tool developed by Smaram WBC that enables developers building AI agents to store and manage memory effectively. It captures raw events as immutable episodes and compiles them into structured memories with provenance, enabling efficient context retrieval for AI applications. Statewave functions as a durable layer for AI systems, providing persistent memory for AI agents to retain and utilize information across sessions, thereby addressing the common challenge of AI applications 'forgetting' past interactions. It is self-hosted on Postgres and emphasizes production-readiness with built-in governance features, including declarative policies and tamper-evident audit receipts. The system retrieves ranked, token-bounded context bundles for LLMs to use in prompts, ensuring traceability of information to its source.

features

Key Features of Statewave

Statewave provides a robust set of features designed to enhance the memory capabilities and governance of AI agents. These features ensure that AI systems can maintain persistent context, track information origins, and operate securely in production environments.

  • Provenance tracking of memories, linking every memory to its original source.
  • Session-aware context management for AI agents, maintaining continuity across interactions.
  • Declarative policies for governance, allowing definition of data handling and access rules.
  • Multi-tenant isolation, ensuring data separation and security for different subjects or agents.
  • Full provenance and traceability for all stored memories and compiled contexts.
  • Immutable episodes, capturing raw events as unchangeable records.
  • Compilation of raw events into structured, typed semantic and episodic memories with confidence scores.
  • Token-bounded context retrieval, providing LLMs with relevant, size-optimized information.
  • Self-hosted deployment on Postgres, offering control over data and infrastructure.
  • Open-source core under the Apache 2.0 license.

use cases

Who Should Use Statewave?

Statewave is primarily designed for developers and engineering teams building sophisticated AI applications that require durable, governed memory. Its architecture supports a range of AI agent types and platforms where persistent context and traceability are critical.

  • Developers building AI agents requiring durable memory, such as support agents that track resolution and generate handoff packs.
  • Engineers powering coding copilots that accumulate project knowledge, including tech stack and architectural decisions, across sessions.
  • Teams creating account assistants or internal copilots that need persistent memory of user workflows, past decisions, and organizational context.
  • Developers enabling voice continuity for AI agents, ensuring consistent interaction context over time.
  • Architects developing multi-agent platforms where Statewave can serve as a shared memory layer for inter-agent communication and resumability.

how to use

How to Use Statewave

Statewave is an open-source, self-hosted solution, requiring deployment on a Postgres database. Users interact with Statewave primarily through its API to ingest events and retrieve compiled memories for their AI agents.

  • 1Deploy Statewave on a self-hosted Postgres instance.
  • 2Integrate AI agents with the Statewave API (documented at https://github.com/smaramwbc/statewave-docs/blob/main/api/v1-contract.md) to send raw events as immutable episodes.
  • 3Configure declarative policies within Statewave for memory governance and data sensitivity.
  • 4Utilize Statewave's retrieval mechanisms to obtain ranked, token-bounded context bundles for LLM prompts.
  • 5Monitor and audit memory provenance to ensure traceability and compliance for production-grade AI applications.

pricing

Statewave Pricing & Plans

Statewave is an open-source memory runtime, distributed under the Apache 2.0 license. The core software is free to use, and users are responsible for their own deployment and infrastructure costs, typically involving a Postgres database and hosting environment. There are no direct subscription pricing plans offered by Statewave itself.

  • Self-hosted: Free (users manage their own infrastructure costs)

Pros

  • +Open-source and self-hosted, providing full control over data and infrastructure.
  • +Ensures full provenance and traceability of memories, crucial for governance and auditing.
  • +Compiles raw events into structured, typed memories with confidence scores, enhancing context quality.
  • +Offers token-bounded context retrieval, optimizing LLM prompt efficiency and cost.
  • +Designed for production-readiness with built-in governance features like declarative policies.
  • +Supports multi-tenant isolation, enabling secure operation for multiple subjects or agents.

Cons

  • Requires self-hosting and management of a Postgres database, which may incur operational overhead.
  • Lacks explicit, pre-built integrations for all potential data sources, requiring custom development for some ingestion.
  • The open-source nature means enterprise-grade support or managed services are not directly offered by the project.
  • Focuses on event-driven memory, which may require additional layers for complex relational reasoning or knowledge graph capabilities compared to some competitors.

Similar Tools

Statewave vs Competitors

Statewave differentiates itself in the AI memory runtime landscape by focusing on immutable event episodes, structured memory compilation with provenance, and built-in governance. It addresses limitations of 'prompt stuffing' and 'naive RAG' by providing deterministic, traceable, and token-bounded context.

1

Provides a drop-in, universal memory layer for AI agents, supporting user, session, and agent memory with multi-signal retrieval.

While Statewave focuses on immutable event episodes and structured memories with provenance, Mem0 offers a broader 'universal memory layer' with different memory scopes (user, session, agent) and multi-signal retrieval, which might be more generalized than Statewave's event-sourcing-like approach.

2

Specializes in temporal knowledge graphs for long-running agent sessions, extracting entities, intents, and facts from conversations.

While Statewave captures immutable events, Zep's open-source Graphiti component explicitly builds a temporal knowledge graph, offering a more structured and queryable representation of how facts change over time, which goes beyond Statewave's focus on event provenance.

3

Implements a tiered memory architecture, inspired by operating systems, allowing agents to control their memory through function calls for reading, writing, and archiving.

Statewave focuses on capturing and compiling events into structured memories. Letta provides a more active, OS-like memory management system where agents can directly interact with and manage their own memory, offering a different paradigm for context handling and self-editing memory.

4

An open-source memory control plane that builds knowledge graphs from unstructured data, enabling agents to reason over relationships.

Statewave emphasizes event episodes and structured memories. Cognee's strength lies in transforming raw data into queryable knowledge graphs, allowing for more sophisticated relational reasoning by agents, which goes beyond just storing and retrieving structured events.

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