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fajarhide / contexere

The one place for the skills, keys and memory of every agent you use. Formerly OMNI.

Why this job: topics: memory, context-engineering

Contexere as one layer woven between Claude Code, Codex, Cursor, Gemini CLI, OpenClaw, Hermes, Pi and VS Code. Reduce ships today; skills, keys and memory are on the way.

What it does

  • Reads a file the agent already read. sends one line with a handle instead of the file again.
  • Runs a noisy build or test. keeps the result and the failures, drops the progress noise.
  • Prints a token or password in output it rewrites. replaces it with [REDACTED] before the model sees it.
  • Fails a command. passes it through as printed, so the real error reaches the agent. A credential printed by a failing command reaches the agent too.
  • Reads JSON, YAML or CSV. leaves it byte for byte.

Get started

brew install fajarhide/tap/contexere
Maintenance
Active
Last commit yesterday
Stars
377
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
3 systems
Mac, Windows, Linux
Latest version
v0.8.6
Released 2 days ago
Built with
Rust
93% of the code

Is it looked after?

Contributors
3
Last 90 days
Issues
96% closed
20 still open
Pull requests
576 merged
1 waiting
Releases
78
30+ in the last year

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More: download files, languages, topics and project record

Download files, v0.8.6

  • Mac4 files, 9 downloads
  • Windows2 files, 2 downloads
  • Linux4 files, 3 downloads

All files on GitHub (opens in new tab)

Languages

  • Rust 93%
  • Shell 3%
  • Python 2%
  • TypeScript 1%

Topics

  • ai-agents
  • context-distillation
  • mcp
  • token-efficiency
  • claude-code
  • cli
  • cost-reduction
  • homebrew
  • token-optimization
  • hooks
  • rust
  • memory

Project record

  • JobAgent memory
  • StatusListed
  • Commits1,279
  • Forks36
  • Watching2
  • Stars in 28 days+16
  • CreatedMar 15, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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