Apache Maka vs ContextStream
Last reviewed:
The definitive head-to-head comparison for Vibe Coders.
Apache Maka
ContextStream
Quick Comparison
| Feature |  Apache Maka |  ContextStream |
|---|---|---|
| Agentic / Autonomous Mode | ||
| Code Autocomplete | ||
| Chat / Prompt-Based Coding | ||
| Multi-file Editing | ||
| Image / Design to Code |
Scroll down for in-depth category breakdowns ↓
Quick Verdict
It's a close call, depends on your needs
Apache Maka vs ContextStream: find out which platform fits your Vibe Coding workflow with a deep dive into AI capabilities, pricing, integrations, and real developer experience. This head-to-head overview highlights what makes each tool unique so you can make the right choice for your next build.
Too Close to Call
Apache Maka and ContextStream are evenly matched on the ratings we track. Read the full reviews to see which one fits your workflow.
AI & Coding Features
| Feature | Apache Maka | ContextStream |
|---|---|---|
| Agentic / Autonomous Mode | ||
| Code Autocomplete | ||
| Chat / Prompt-Based Coding | ||
| Multi-file Editing | ★ | |
| Image / Design to Code |
Apache Maka is built around append-only event log as the source of truth: every model message, tool call, permission decision and termination is a runtimeevent you can inspect after the run, while ContextStream focuses on one memory that follows you between claude code, cursor, codex, cline and windsurf over mcp. The key question is whether you need agentic capabilities that autonomously handle multi-step tasks, or inline completions that keep you in flow as you type. Review the table above to see which AI features each tool actually offers.
Apache MakaContextStreamPlatform & Access
| Feature | Apache Maka | ContextStream |
|---|---|---|
| Runs in Browser | ★ | |
| Built-in Deployment | ★ | |
| Git Integration | ★ | |
| Open Source |
Apache Maka and ContextStream take different approaches to where and how you code. Whether a tool runs in your browser or requires a local install matters for getting started quickly. Built-in deployment means you can go from prompt to live app without switching tools. Consider what fits your workflow, some builders prefer everything in the browser, while others want the power of a local IDE.
Apache MakaContextStreamPricing & Cost
| Feature | Apache Maka | ContextStream |
|---|---|---|
| Free Plan Available | ||
| Starting Price | Free (Apache 2.0); no Apache release yet, nightlies and source only; you pay your own model provider | Starter is free forever with 3,000 Context Credits a month, one user, five workspaces and fifteen projects, no card required. Pro is $19/mo with 25,000 credits and one concurrent job. Elite is $49/mo with 100,000 credits, deeper call and dataflow graphs and a priority indexing lane. Team is $79 per user per month on a three-seat minimum, so $237/mo for three, with 200,000 credits per paid seat pooled across the team. Annual billing is about 17% cheaper. |
| Token / Credit Based | ||
| Can Buy More Credits | ||
| Has Daily / Usage Limits |
Apache Maka is priced at free (apache 2.0); no apache release yet, nightlies and source only; you pay your own model provider, with a free entry point. ContextStream is priced at starter is free forever with 3,000 context credits a month, one user, five workspaces and fifteen projects, no card required. pro is $19/mo with 25,000 credits and one concurrent job. elite is $49/mo with 100,000 credits, deeper call and dataflow graphs and a priority indexing lane. team is $79 per user per month on a three-seat minimum, so $237/mo for three, with 200,000 credits per paid seat pooled across the team. annual billing is about 17% cheaper., with a free entry point. Pay attention to daily limits, some tools throttle usage even on paid plans during heavy coding sessions. Check whether you can buy additional credits if you hit the ceiling mid-project.
Apache MakaContextStreamFeature data verified monthly. Some entries use automated inference. Report inaccuracy
What to do next
Related Comparisons
Which Should You Choose?
Use these decision criteria to find the right tool for your workflow.
Choose Apache Maka if…
- ✓You work on local-first agent runs projects
- ✓You work on inspectable tool and permission logs projects
- ✓You need append-only event log as the source of truth: every model message, tool call, permission decision and termination is a runtimeevent you can inspect after the run
- ✓You need one runtime host behind the electron desktop app, the terminal ui, the non-interactive cli and the eval command
- ✓You need bring your own model: cloud api, local model or a compatible gateway; no bundled model account
Choose ContextStream if…
- ✓You work on running more than one coding agent projects
- ✓You work on re-explaining the same context daily projects
- ✓You need one memory that follows you between claude code, cursor, codex, cline and windsurf over mcp
- ✓You need captures decisions and corrections as you work rather than asking you to write documentation
- ✓You need knowledge atlas links a decision to the code it touches, so an agent can see blast radius before editing
Why these tools are being compared
Both Apache Maka and ContextStream compete for builders who want fast, AI-assisted creation without losing control of their stack. Apache Maka is built around append-only event log as the source of truth: every model message, tool call, permission decision and termination is a runtimeevent you can inspect after the run, while ContextStream is designed for one memory that follows you between claude code, cursor, codex, cline and windsurf over mcp. This matchup helps clarify which strengths matter most for your next launch.
Feature and pricing takeaways
On pricing, Apache Maka offers free (apache 2.0); no apache release yet, nightlies and source only; you pay your own model provider, whereas ContextStream lists starter is free forever with 3,000 context credits a month, one user, five workspaces and fifteen projects, no card required. pro is $19/mo with 25,000 credits and one concurrent job. elite is $49/mo with 100,000 credits, deeper call and dataflow graphs and a priority indexing lane. team is $79 per user per month on a three-seat minimum, so $237/mo for three, with 200,000 credits per paid seat pooled across the team. annual billing is about 17% cheaper.. Feature-wise, Apache Maka stands out for append-only event log as the source of truth: every model message, tool call, permission decision and termination is a runtimeevent you can inspect after the run and one runtime host behind the electron desktop app, the terminal ui, the non-interactive cli and the eval command, while ContextStream delivers one memory that follows you between claude code, cursor, codex, cline and windsurf over mcp and captures decisions and corrections as you work rather than asking you to write documentation. If you care about AI speed and responsiveness, compare the feature breakdown below to see which tool keeps your flow steady.
Who should choose each tool
Choose Apache Maka if you need Local-first agent runs and want a stack centered on agent-infra. Pick ContextStream when you value Running more than one coding agent and prefer a tool that matches agent-infra. Check the feature comparison above to see which tool fits your workflow best.
At a Glance
| Detail | Apache Maka | ContextStream |
|---|---|---|
| Pricing | Free (Apache 2.0); no Apache release yet, nightlies and source only; you pay your own model provider | Starter is free forever with 3,000 Context Credits a month, one user, five workspaces and fifteen projects, no card required. Pro is $19/mo with 25,000 credits and one concurrent job. Elite is $49/mo with 100,000 credits, deeper call and dataflow graphs and a priority indexing lane. Team is $79 per user per month on a three-seat minimum, so $237/mo for three, with 200,000 credits per paid seat pooled across the team. Annual billing is about 17% cheaper. |
| Trusted Rating | N/A | N/A |
| Category | agent-infra | agent-infra |
| Best For | Local-first agent runs | Running more than one coding agent |
| Key Strength | Append-only event log as the source of truth: every model message, tool call, permission decision and termination is a RuntimeEvent you can inspect after the run | One memory that follows you between Claude Code, Cursor, Codex, Cline and Windsurf over MCP |
FAQs: Apache Maka vs ContextStream
- What is the main difference between Apache Maka and ContextStream?
- Apache Maka focuses on append-only event log as the source of truth: every model message, tool call, permission decision and termination is a runtimeevent you can inspect after the run while ContextStream highlights one memory that follows you between claude code, cursor, codex, cline and windsurf over mcp. Both target agent-infra, but their onboarding, AI depth, and pricing models feel different.
- Which tool is better for speed and flow?
- Both Apache Maka and ContextStream aim for smooth iteration. Check the feature comparison above to see which matches your workflow, factors like setup time, AI responsiveness, and integration depth matter most.
- How do Apache Maka and ContextStream compare on pricing?
- Apache Maka lists free (apache 2.0); no apache release yet, nightlies and source only; you pay your own model provider, whereas ContextStream offers starter is free forever with 3,000 context credits a month, one user, five workspaces and fifteen projects, no card required. pro is $19/mo with 25,000 credits and one concurrent job. elite is $49/mo with 100,000 credits, deeper call and dataflow graphs and a priority indexing lane. team is $79 per user per month on a three-seat minimum, so $237/mo for three, with 200,000 credits per paid seat pooled across the team. annual billing is about 17% cheaper.. Consider which aligns with your budget and whether you need free tiers, seat-based plans, or bundled AI features.
- Who should choose Apache Maka vs ContextStream?
- Apache Maka fits teams that value Local-first agent runs, while ContextStream suits those prioritizing Running more than one coding agent. If you need category-specific guardrails, start with the tool that matches your daily workflows.
- Is Apache Maka or ContextStream better overall?
- "Better" depends on your specific workflow. Review the head-to-head feature comparisons above to identify which tool aligns with your priorities, pricing, integrations, and AI capabilities all factor in.
- Does Apache Maka have a free plan?
- Yes, Apache Maka offers a free entry point: Free (Apache 2.0); no Apache release yet, nightlies and source only; you pay your own model provider. This makes it easy to trial before committing to a paid plan.
- Can I use ContextStream for free?
- Yes, ContextStream has a free tier available: Starter is free forever with 3,000 Context Credits a month, one user, five workspaces and fifteen projects, no card required. Pro is $19/mo with 25,000 credits and one concurrent job. Elite is $49/mo with 100,000 credits, deeper call and dataflow graphs and a priority indexing lane. Team is $79 per user per month on a three-seat minimum, so $237/mo for three, with 200,000 credits per paid seat pooled across the team. Annual billing is about 17% cheaper.. You can start without a credit card and upgrade when ready.
Apache Maka and ContextStream differ most on price, model access, and how much of the workflow each one owns. The feature table and FAQs above carry the detail. Both have a free tier or a trial, so the fastest way to decide is to run the same small task through each and compare what you get back.
Looking for more options?
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Apache Maka
Apache Maka (Incubating) - Local-First Agent Workspace With an Append-Only Run Log
ContextStream
ContextStream - Shared Project Memory for AI Coding Agents