What Tablif read on kontexta's site
kontexta describes itself as: “Kontexta: shared local memory for AI coding agents”
- Stage: Live, no waitlist
- How it differs: “Every coding agent keeps its own silo. kontexta is one local workspace they all share: searchable, versioned, portable.”
What it is
Calls itself “context engine” and “workspace”.
- Calls itself: context engine · workspace
“…workspace + context engine for coding agents”
Where it puts itself
Claims “The only memory that can act.”. Rules out “no cloud sync”, “no embeddings API” and “no telemetry”. Publishes a comparison page.
- Superlative claim: The only memory that can act.
- Says it will not: no cloud sync · no embeddings API · no telemetry
“Every coding agent keeps its own silo. kontexta is one local workspace they all share: searchable, versioned, portable.”
“The only memory that can act.”
What it costs
No free plan.
- Free plan: no
“What's the license? + Apache-2.0. Use it commercially, fork it, embed it.”
Who it sells to
Sells to developers.
- Sells to: developers
How it runs
A API, command-line tool and web app for Linux, Windows and macOS. Runs locally and works offline. Distributed through the Docker. Offers an API. Open source. AI is the core of the product. You can bring your own API key.
- Kind: api · cli · web
- Runs on: Linux · Windows · macOS
- Runs where: on the device, offline
- Distributed via: Docker
- API: yes
- Open source: yes
- AI role: core to the product
- Bring your own key: yes
“MCP only runs headless from your agent's config.”
“$ npx kontexta start”
What it works with
Names Claude Code, Codex and 5 more on its pages.
- Names: Claude Code · Codex · Copilot · +4
“Claude Code fixes the bug and journals it.”
“Claude Code Cursor Gemini CLI Codex Copilot Cline Continue Hermes Antigravity Windsurf”
What it offers as proof
Live, no waitlist. Claims “41,171 tokens saved across 4 scenarios”.
- Number claimed: 41,171 tokens saved across 4 scenarios
“41,171 Tokens saved across 4 scenarios”
Sources
Tablif read these pages, last on 14 Oct 2026. Everything above is what the product says about itself; Tablif does not verify every claim.
Similar products in Tablif Town
- MetriQ AI: One workspace for every AI model, with shared memory.
- Eggshell: Local memory for AI agents to reuse work, spend fewer tokens
- Parallel Agents: Your coding agents, together in one workspace
- ContextsBase - Memory for your Agents: Context Infrastructure for Coding Agents
- Kepos : Shared memory for teams and their AI agents
- Jolo — Your agents. One workspace.: One workspace for coding agents, browser, and terminal
- SwitchNext: One thread across models, Chat, Code & Agent Mode
- Hexum: Ultimate Dev Ecosystem