Flamehaven Filesearch vs Temporal AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionFlamehaven FilesearchTemporal AI
PricingFree (self-hosted)Freemium (usage-based billing)
DeploymentSelf-hosted via DockerCloud or self-hosted (open source)
Core FeatureDocument search & RAGDurable workflow orchestration
AI IntegrationMulti-LLM (Gemini, OpenAI, Claude, Ollama)OpenAI Agents SDK, Google ADK
SecuritySHA256 hashing, OWASP headers, granular permissionsCustom Roles (pre-release)
Best ForPrivate document search with auditReliable AI agents & long-running workflows

Choose Flamehaven Filesearch if your priority is a free, self-hosted RAG engine with strong security and multi-LLM support for private document search. Choose Temporal AI if you need durable execution, automatic retries, and workflow orchestration for AI agents or complex business processes, especially when you can leverage its freemium cloud tier. They solve different problems, but if your need is reliable AI agent pipelines, Temporal offers unmatched resilience.

Try Flamehaven FilesearchTry Temporal AI
Flamehaven Filesearch
Flamehaven Filesearch

Self-hosted RAG search engine for private document search — BM25 plus hybrid retrieval across 34 file formats.

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Temporal AI
Temporal AI

Durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned sessions.

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Pricing
Free
Freemium
Plans
$0/mo
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
5 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
API
WebAPI
Categories
🗄️ Vector Databases & Retrieval❓ Document Q&A & Summarizing🔦 Enterprise Search & Internal Knowledge
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Self-hosted RAG search engine for private document search
BM25 keyword retrieval combined with vector hybrid search
Source-grounded answers traced back to retrieved documents
Document parsing across 34 file formats
Multi-LLM support: Gemini, OpenAI, Claude and Ollama
Ollama option for fully offline or air-gapped retrieval
Docker deployment described as production-ready in about 3 minutes
Python / FastAPI backend
API key hashing with SHA256 plus salt
Per-key rate limiting, default 100 requests per minute
Granular per-key permission control
Complete request audit logging
OWASP security headers enabled by default
Lazy imports for LangChain, LlamaIndex, CrewAI and Haystack SDKs
Natural language querying over indexed document repositories
Durable execution captures Workflow state at every step with no checkpointing or recovery code
Native SDKs for Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust
Activities retry automatically with backoff, four timeout classes, and heartbeating
Signals, Queries, and Updates read and mutate running Workflows mid-flight
Workflow Streams for real-time interactivity with running executions
Durable AI agents via OpenAI Agents SDK and Google ADK running LLM and tool calls as Activities
Serverless Workers host durable AI agents on Amazon Bedrock AgentCore
Serverless Workers on AWS Lambda (public preview) and GCP Cloud Run (pre-release)
Standalone Activities as a durable job-queue pattern, GA across six SDKs (2026-09-15)
Native Task Queue priority and fair distribution without a custom queueing layer
Durable Timers sleep for months; cron Schedules support backfill and Continue-As-New
Saga pattern via compensating transactions that read like try/catch
Worker Versioning pins Workflows to a version so deploys don't corrupt in-flight runs
Cloud UI Strict Session Mode enforces 15-min inactivity timeout and 12-hour max session (GA 2026-09-18)
Replay tests validate against real histories; time-skipping tests fast-forward long timers in CI
Integrations
LangChain
LlamaIndex
CrewAI
Haystack
Gemini
OpenAI
Claude
Ollama
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure

What real users say: Flamehaven Filesearch vs Temporal AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Flamehaven Filesearch

3 mentions across 2 sources · 88% positive (averaged across 2 sources)

Hacker News, GitHub

What users praise

  • • Self-hosted keeps documents private on your infrastructure.
  • • Supports 34 file formats for broad document indexing.
  • • Hybrid retrieval combining BM25 and semantic search.
  • • Multi-LLM integration: Gemini, OpenAI, Claude, Ollama.

What frustrates them

  • • Community feedback is too sparse to validate claims.
  • • Scalability and performance under load are untested.
  • • No listed integrations or plugin ecosystem yet.
  • • Documentation quality and depth remain unknown.

Researched Jul 4, 2026

Temporal AI

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Temporal AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Solo founder
    Pick: Flamehaven Filesearch

    Free, self-hosted, and quick to deploy for private document search without scaling costs.

  • AI agent developer
    Pick: Temporal AI

    Temporal provides durable execution and retries, crucial for reliable agent orchestration.

  • Security-conscious enterprise
    Pick: Flamehaven Filesearch

    Granular permissions, audit logs, and OWASP headers meet compliance needs.

  • Financial systems architect
    Pick: Temporal AI

    Saga pattern and compensating transactions for rollback in transactions.

  • Open-source advocate
    Pick: Temporal AI

    Both are open-source, but Temporal's multi-language SDKs and community are broader.

Frequently Asked Questions

Flamehaven Filesearch vs Temporal AI: which should you choose?

Choose Flamehaven Filesearch if your priority is a free, self-hosted RAG engine with strong security and multi-LLM support for private document search. Choose Temporal AI if you need durable execution, automatic retries, and workflow orchestration for AI agents or complex business processes, especially when you can leverage its freemium cloud tier. They solve different problems, but if your need is reliable AI agent pipelines, Temporal offers unmatched resilience.

Can Flamehaven Filesearch be used for real-time data ingestion?

The provided data does not mention real-time ingestion; it focuses on indexing 34 file formats. For real-time streams, consider Temporal's workflow streams.

Does Temporal AI have a free tier?

Yes, Temporal offers a freemium model with usage-based billing; a free tier is typically available with limited actions.

Which tool supports more file types?

Flamehaven Filesearch natively supports 34 file formats. Temporal does not handle file search—it orchestrates workflows.

Is Flamehaven Filesearch production-ready?

Yes, the description states it is production-ready in 3 minutes with Docker, including security hardening out of the box.

Can I use Temporal with OpenAI?

Yes, Temporal integrates with OpenAI Agents SDK as per latest news (June 2026).

Do I need Docker for Flamehaven Filesearch?

Yes, it uses Docker for deployment. Non-technical users may find this challenging.

Does Temporal support human-in-the-loop?

Yes, via signals and pause/resume features, enabling human approval steps.

Which tool is better for long-running workflows?

Temporal AI is built for durable long-running processes with automatic state recovery.

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Explore each tool further

Flamehaven Filesearch
View Flamehaven Filesearch reviewFlamehaven Filesearch alternatives
Temporal AI
View Temporal AI reviewTemporal AI alternatives

Browse these categories

Best AI Vector Databases & Retrieval toolsBest AI Agent Frameworks & Orchestration toolsBest AI Document Q&A & Summarizing toolsBest AI Developer Infrastructure tools
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Last reviewed: July 4, 2026